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Using Entwine LiDAR Data Sets Within Civil 3D and ReCap Pro

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Description

In this session, we’ll explore Entwine Point Tiles (40+ trillion points), and how to consume them in mere minutes inside of Civil 3D software as a surface (via point cloud). As large point cloud data sets become ubiquitous in the architecture, engineering, and construction (AEC) community, open-source libraries and software dedicated to manipulating these data sets are valuable tools for civil engineers and those in the geospatial community. Entwine is a free online cloud repository that anyone can access, and with this technical instruction, you can go from zero (knowledge) to office hero in minutes!

Key Learnings

  • Learn how to quickly find LiDAR data for your area of work or even business development.
  • Learn how to clean and generate a consumable point cloud within Civil 3d in minutes.
  • Learn how to use better informed proposals before a contract is created.
  • Gain a more refined understanding of grading constraints early in your project lifecycle.

Speaker

  • Avatar for Justin Ehart
    Justin Ehart
    My career journey has taken me on a wild ride through the realms of architecture, land surveying, civil engineering and now into the exciting world of data science, software development, & GIS applications. 29 years ago, I stepped into the professional arena armed with nothing but a drafting board, a roll of trace paper, and a dream of creating structures that would make even gravity raise an eyebrow. I transformed my vision into tangible masterpieces. But as time went on, I realized that my passion for problem-solving and pushing boundaries extended far beyond subdivision design. I found myself drawn to the allure of data and the hidden stories it held. So, I bid farewell to the world of scales & electric erasers and embarked on an adventure into the realm of digital transformation. Now, I'm a self-proclaimed data wrangler, taming unruly datasets and making sense of the numbers that haunt the dreams of others. Armed with algorithms and an uncanny ability to spot patterns, I lead a team that weave tales of insight and enlightenment from the tangled web of information. Who would've thought that python had a split personality as both a reptile & a coding genius? I've even caught a few pie charts plotting to overthrow bar graphs. But my quest for knowledge didn't stop there. In a bid to conquer new frontiers, I dove into the realm of software development, where we turn ideas into digital marvels. We've became virtuosos of code, composing symphonies of ones and zeros that danced on screens like a pixelated ballet. Bugs tremble at the mention of my name, for we are the ultimate bug whisperer's – their worst nightmare and greatest nemesis. As the Studio Manager of Ware Malcomb's Digital Transformation team, a jack of all trades (and master-of-none), a relentless problem-solver who thrives on out-of-the-box thinking. If you've made it this far looking for a touch of creativity, a dash of technical wizardry, and a hearty dose of humor, you've come to the right place.
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Transcript

JUSTIN EHART: Thanks for joining me. Today, we're going to be covering leveraging Entwine LiDAR datasets within Civil 3D and ReCap Pro. I know that's a mouthful, so if you want to go with the Too Long; Didn't Read, we're going to exploit online data for use in Civil 3D.

Who am I? Why am I teaching you this session? Well, my name is Justin Ehart, and I work with Ware Malcomb. I'm their engineering BIM manager. And I've spent the last 28 years working in architecture, civil engineering, and land surveying.

I've previously spoken at AU & BiLT Europe in 2019 over Drone 2 Design. And most recently, I spoke at BiLT North America this year covering Dynamo for Civil 3D. And I absolutely love coding, whether it's Python, IFC.js, .NET, PowerShell, Dynamo, LiSP. You name it, I probably have my fingers in.

And most recently, I've created an engineering and Revit chat bot in Microsoft Teams that answers questions for users. I'm currently working on some Civil 3D TensorFlow, artificial intelligence integration. But primarily, I'm focused on geospatial and data science applications. And I'm an avid comic book collector and sneakerhead.

So a little bit about Ware Malcomb. In 2022, we had our 50th anniversary of the firm. We are a full service architecture, interior, civil engineering, branding, sustainability, building measurement services, land surveying, and a workplace strategy and change management firm. It's a mouthful, I know. We have 28 offices across North and South America and we pride ourselves on not being like every other firm. We have our own R&D lab called WM Future.

So what can you as a participant expect from this session? So our course overview. In this session, we'll explore Entwine Point Tiles. And currently, there's over 43 trillion with a t individual points. And we're going to figure out how we can consume them quickly inside of Civil 3D as a surface.

As more large data point cloud sets become available or ubiquitous inside of the AEC community, we've got to find different open source libraries and software that's dedicated to manipulating the data sets so that we can harness those. And so this session, we're going to learn how we can quickly find that LiDAR data for your area of work or even a business development case.

We're going to quickly clean and generate a consumable point cloud within Civil 3D. And we're going to learn how we can create better-informed proposals before a contract is created. And we're going to gain a more refined understanding of the grading constraints early in our project lifecycle.

So how are we going to accomplish this? Well, we're going to geolocate and create a new drawing in Civil 3D from the map and save it. That's step one. Step two, we're going to gather. So we're going to browse to the national map and define an area of interest and download those LiDAR files. Then we're going to clean it using an open source software called Cloud Compare.

We're going to use this to filter, subsample, and merge our tiles based on the ground point, classification 2. Then we're going to create a ReCap Pro project with an LAS file and convert it to ReCap. And then finally, we're going to round robin. We're going to go back into Civil 3D, import that ReCap file, and create a service from the point cloud.

You might be asking yourself, great, but what is Entwine? Well, it's a data organization library for these massive point clouds. They're designed to handle data sets of trillions of points. That data that's stored there is completely lossless, even in terabyte-scale datasets. So what that means, there's no point loss. There's no metadata loss. And there's no precision loss. And even better yet, Amazon has agreed to pay to convert the files to EPT and to store the data on their AWS S3 servers.

So step one, geolocate. So we're going to geolocate a new drawing. You can save it as a drawing template or a DWG. You can use the command EDITDRAWINGSETTINGS on your command line. Or you can browse to the tool space settings, right click your drawing name, and edit the drawing settings.

So what I like to do is set it to the correct coordinate system that I'm working in. I usually do a lot of work in state plane coordinates, so a NAD83 in the US. You might be using UTM elsewhere. And if you have a boundary, you can use that to import your partial shape files. So let's kind of see how that's done.

So right here, I've got just a blank brand new drawing. You can see that the coordinates down here are 0, 0. And so this is where I talked about you can go into tool space and right click, Edit Drawing, and browse to your coordinate system. And here, I'm going to set it for New Jersey. NAD83, New Jersey State Planes, US Foot.

I like to script everything, so I'm going to just go to my trusty tool palette. I'm going to click go to Elizabeth, New Jersey. It turns on my map, zooms me to that area. So I'm going to scroll down here. The site we're going to explore today is on the border of Delaware, New Jersey, and Pennsylvania, just to kind of see how much data is available to us.

And this site looks good. We're going to trim the map. And then we're going to turn off the background map, so that it doesn't try to recalibrate as we zoom in and out on the site. And now I'm going to go ahead and import-- oh, I can show you that the drawing settings were set correct here. Great.

Next, let's import our boundary. Again, I'm going to use a shapefile, because I'm going to trim my surface to this later. And we can see that the coordinate system of my drawing is New Jersey, but the input of the shapefile I'm bringing in is lat, long, 84. So I'm going to assign my drawing layer. I'm going to add my object data. Import polygons as closed polygons. And there's my boundary.

So if we go over to the Properties, we're going to see that it is set to lat and long. And I'm always a little clunky. I always have to find it. Every GIS information is a little bit different. So we can see that it's lat and long. And the acreage of this site is 462.16 acres.

Great. So now that we've geolocated our drawing, we can go ahead and gather our LiDAR data. And so what we're going to do is browse to the national map. So apps.nationalmap.gov. And then if we scroll down, we're going to see LiDAR Explorer. Once we go into the website, we're going to define an area of interest and download those LAZ files. Let's look at that now.

So here's my drawing of this Delaware River Project in New Jersey. And if we go to the usgs.entwine.io website, we can see this is where we have coverage of LiDAR data. And as of August 4, 2022, there are 43 trillion points of data on there.

Here is the apps.nationalmap.gov. It's the 3DEP, so 3D Elevation Point LiDAR Explorer. And if we click here where it says show where LiDAR data is available, it's going to mimic that JSON file from the other website. And so we can see this is where we have coverage.

So I like to work with a satellite image. So I'm changing the base map right now. I'm going to zoom in to the area. So again, this is where Delaware, Pennsylvania, and New Jersey border along the Delaware River. So that looks like our site from Civil 3D.

Let's go ahead and define our area of interest. You can do that by holding down the Control key and dragging your cursor or clicking this draw area of interest icon. I like to use the icon, because then it starts aggregating the data for me automatically.

And while it's thinking, you can see the progress bar across the top. So the downloadable products within our area of interest, let's zoom out a little bit. You can see the different LiDAR projects that are available. And some of the dates on these, 2006, 2015, 2013, '07. A little out of date.

So we're going to try to get the most recent LiDAR data that we can. And so by clicking the LiDAR with an area of interest, it will aggregate that information for us. We can use the filter at the top, if we wanted to make sure we get New Jersey. Or we can just start scrolling down and seeing what the most current is for this area.

Down at the bottom, we're going to get there now. We'll see New Jersey and we'll see five different tiles. We're going to go ahead and download all of those. It's a quick download. Some of these .laz files have 15 million points in them. You can see how quick they download.

Great. I think those are downloaded. And so you can zoom out and see the area that we're working in. So again, Pennsylvania, New Jersey, and Delaware. Awesome. So next, we're going to clean the data.

So we are able to clean the data in Civil 3D. But we kind of have to round robin. So what I like to do is there's this open source software called Cloud Compare. And we're going to browse to this. And I'll show you in a moment. You can just search on Google for it.

And once installed, we're going to open and browse to our downloaded files. And we're going to filter by a value. And then we're going to do a subsample and a merge and then save it as an uncompressed LAS file. So let's go ahead and click on this.

So here I am on just your favorite search engine. You can just type Cloud Compare. And we're going to go to the results. And we'll see this one here, Cloud Compare. It's an open source project. On the Download tab, you can go here and select the download for your operating system.

And it is freeware. So if you are able to donate, it might be in your best interest. You're going to use the software a lot. We've launched the software here. And so I'm going to go to File and Open. And I'm going to browse to my LAZ files. Those are the compressed files that we downloaded.

And we're going to toggle off all of these check boxes here on the standard fields, with the exception of classification. And we're going to go over classification in just a moment. And since we have multiple tiles, we're going to say apply all.

So this first tile we're importing, there's 24 million points in it. That's a large area of work that has a lot of detail. This is the longest portion of this. So it's going to take just a few moments for us to aggregate and bring those five tiles in.

And so this software gives us the ability to merge all of these tiles into one. It gives us the ability to filter them by the classification. And all LiDAR information does have a classification. So classification 2 is bare ground. It's the common ground shots.

If you were wanting just the buildings on the site, you could use seven. Those are classified for buildings. And here in a moment, we're going to go to a website that shows all the different classifications of the files. So we'll just let it work and do its thing here.

We're almost done, down to the last one. Great. So what we're going to do is we're going to go over and select. And using the Control button, select each of the point clouds individually. You can see them highlight on screen.

Then we're going to go to Edit. And then we're going to apply a scalar field filter by value. And again, 2 is the common ground shots. So that's what we're going to filter by. And we're going to see all of the tree canopies and everything go away here. Those are automatically highlighted.

So let's go ahead and do a subsample. We don't necessarily need 100 million points of this point cloud. So we're going to do a minimum space in there. And so we're going to take it down from about 100 million points to roughly 10 million points.

All right. This is the last one. Now, we could export these five individually. But while we're here, we might as well merge them together. So they're all highlighted again, because we just made an edit. And we'll just go down to merge.

And we can see the five point files in there. Honestly, that looks better. 5.3 million points in this area. We can handle that very well in Civil 3D. And if we click, we can see that that one is 10. We see just the different values that are there. So let's go ahead and save this.

And saving the file format as a .las. So it's an uncompressed file of what we downloaded from the web. We're just going to click OK, set the original resolution. And then ultimately, we're saving a point file that has about 10 million points.

And while you're in here, you're able to explore around and view some of the features on it. Just quickly orbit, just like you can in Civil 3D. And then here, we're going to show the lighter classification. So you'll see that 2 is ground, 3 is low vegetation.

And they've kind of changed some of the classification flags. They've updated it to allow for some more. But 2 is still going to be ground. That's why we filtered by classification 2. We'll see in here that there's bridge decks, road surfaces, water. But yeah, any LiDAR formatted point cloud should be classified to make it easier on you.

Awesome. So now we're going to convert our data. We're going to take that LAS file that we saved and we're going to convert that to a ReCap Pro file format so that we can bring it into Civil 3D. And while in ReCap, we might as well do a little cleanup. So we're going to clean up that area outside of our area of interest and save and optimize.

And then I also like to do a double check. I kind of like to export an additional ReCap file called Cleaned or Cropped so that if I need more data, I can go back to the original. There we go. So what we're going to do in ReCap Pro is we're going to launch a new project and import a point cloud.

And give it a project name, if that's how your company works. Or if you're just doing this as an exploratory or BD tool, you might not have a project name yet. So we're going to go to-- I saved it in my Downloads folder. And then we're going to import files.

ReCap is very simple to work with. And then this is the longest part, where it's indexing the scans. It could take 30 seconds. But some of the nice features of ReCap Pro is you're able to define areas that you want to include only or exclude. You can use a fence, a window. There's a lot of neat features in here. So if you're not familiar with it, you're going to get familiar with it fast using this workflow.

I feel like we're going to get close on this. There we go. It's starting to do something now. Great. Now we can click Launch Project. And we're going to see that point cloud that we had merged and cleaned in Cloud Compare appear on our screen.

I like to work top down. So we're going to go ahead and change this to a fence. This is essentially the lasso command. And we're just going to draw around this. What I'd like to do is I'd like to clip this inside area. So I'm left with this outer area that isn't relevant to my workflow on this particular site, so I'm go in here and delete it.

And the functionality of ReCap is a little different from Civil 3D. I always have to find my bearings on it. So we're going to unclip the inside. I'm going to save it and optimize the point cloud. And as I mentioned, I do like to export, just as a double check sometimes, or if I want just the reassurance that I have everything that I need.

So we'll just browse. I've got a ReCap folder that I like to save those items in. And again, this is where you could label it as your project tracking number, if your company uses one, or whatever that you need. And then we'll go ahead and unify your project scans. And this goes pretty quick. Even though it's under 10 million points, it still works well.

Come on, baby. All right. We can close out the software. And to the last part, creating our surface. So we're going to, like I said, round robin right back into Civil 3D. And then on the ribbon, we're going to go to the Insert tab and Attach Point Cloud.

Then once we have that attached, we'll be able to see the outline of it, and actually see it when we're in 3D view. Then on the Home tab, we're going to go to the ribbon and surfaces. And we're going to create a surface from the point cloud. And then after that, I'd like to generate a snapshot of the surface and delete the point cloud.

So why don't we go in there and see how it's done? So here's our drawing. And on the Insert ribbon to the Point Cloud, Attach. We'll bring that over. And we'll browse to that ReCap file. Great. We see it come right in.

And again, we are working in a coordinate system. This was all done in lat and long. It's really nice that the software has it just marry it perfectly. So we're going to go in here. We're going to name our surface. And I typically just use EG for Existing Ground. But I'm really particular on the description.

I want to make sure that, should somebody go in there, they realize that this wasn't generated by a surveyor. The LiDAR information that we're putting in here is good to 0.24 meters or 0.8 feet. So it's sub 1 foot. But you still don't want to design from it.

So I like to put in here when it was downloaded, where it was downloaded from, and that it should be used for preliminary design only, not for final design. So you cannot overcommunicate when you're working inside of design software. That's exactly my feelings on it. So I'll put in here preliminary design only.

I'm going to change the style of my contours. Now I'm going to click Next. I've already done a selection on it. And then I changed it, because I don't want it to interpolate. I want it to just take the ground shots that I had given it.

And so we can see down here that it's going to create the point cloud from the surface. And this process takes maybe 20 seconds. We'll start seeing it catch up, let's say. It'll start aggregating that information for us.

And each point cloud is a little bit different. The bigger they are, the longer it takes. So we can see that now, to adding points to the surface. Three, numbering the points in the triangles. We're getting close. Computing contours. And we should have our surface now. Displaying the contours. Great.

So what I like to do is go into the surface itself. And I want to set a boundary. And that's why we imported that shapefile in the first video-- in the first process of this. And so I'm just setting the boundaries from a shapefile. Super simple. I'm going to zoom in here. Or maybe I'll just cowboy it and select it from afar.

And this shapefile, again, is 462 acres. But along the river, it's very jagged. There's a lot of different vertices that it's following, when it was established, this parcel. And I promise my Civil 3D won't crash. It's just really struggling to think.

I could have picked a different site that was more inland with a little cleaner boundary. But that wouldn't be fair to you. And so we should be pretty close to it. There we go. And so if we were to delete the point cloud now, the surface would go away. So what we need to do is go back into the surface and create a snapshot.

Again, I'm working with a very temperamental parcel as a shapefile. Again, I should have probably picked something a little less-- with fewer vertices. But it just wouldn't be fair. We can't pick and choose our sites. That's our developer's role.

Now that we've created our snapshot, we can go in here to our references and we can detach or unload our point cloud. I'm going to switch it back to a 2D wireframe. And since I've already done that snapshot, I'm going to go ahead and just delete it anyway.

So there we go. In just a few moments, we were able to aggregate online information, generate a very accurate and clean surface from online data. So we've taken all these different sources of information, we've made this homogeneous surface that works well in a PD environment or Preliminary Design environment, while we're waiting on the surveyor to get us topography.

So we'll just look at the object view of the surface. I do tend to extract the minor and major contours and then do a quick select to remove any of the little bit of noise in there. Some of those points could be two feet. But we know that you could kick the mound of rock and it would be lower.

So like I said, I like to extract some of the major and minor contours. Do a quick select. And anything less than, say, 100 feet I'll delete. Then there you have it. It's just that simple. So very quickly, we were able to generate that surface. Thank you for taking time to watch Leveraging Entwine LiDAR Datasets Within Civil 3D and ReCap Pro.

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We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
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We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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