Introduction

Any referenced datasets can be downloaded from "Module downloads" in the module overview.

Transcript

00:01

This course is managing point cloud data and recap.

00:04

There are three objectives in the course.

00:07

These objectives are learning about structured non structured

00:10

and photo capture data using structured point cloud data

00:14

and using non structured point cloud data.

00:17

Each will take about 10 minutes or less to complete

00:20

and there is an exercise for each objective.

00:23

So you can practice what you've just

00:25

learned the information in this course

00:27

is important for the scan to be in process

00:30

or scan data is captured by a variety of methods.

00:34

And then the data is processed to index register crop

00:38

and export so that it can be used

00:40

in design authoring applications such as civil 3D

00:44

and InfraWorks.

00:46

The scan data type will have different features

00:49

and recap structured data from fixed position scanners

00:53

will have 3D orbs displayed that enable

00:56

us to jump into the real view, which

00:59

is the photo realistic display from the scanners

01:02

point of view.

01:04

These scans are used for detailing

01:06

complex items such as the piping and valves shown here.

01:11

Non structured data is the most common point cloud data used

01:15

for infrastructure projects.

01:17

There are many basic tools in recap

01:19

here we can see how point cloud data can be styled by elevation

01:24

and now I'm using view states to look

01:26

at different areas of my point cloud

01:31

the measurement tools are important to use

01:34

to validate the units and scale of the data.

01:39

Here we check a vertical measurement

01:41

to see that the hype of the pedestrian bridge in meters

01:45

is accurate.

01:48

Because point cloud data is so large

01:50

containing millions and millions of points.

01:53

We need to use the selection tools to create regions.

01:58

This breaks down the project into areas of interest

02:01

or creates multiple smaller data sets for more efficient use

02:06

in Civil 3D.

02:08

We can also use regions to eliminate unnecessary data

02:18

recap exports point cloud data from the region collection

02:23

and creates r RCS RCP file types.

02:28

These are the file types imported

02:31

in Civil 3D and InfraWorks as well as

02:34

other Autodesk applications such as rivet and even autocad.

02:39

Now you can get started with the three course objectives

02:42

and try out point cloud data in the exercises.

02:46

So have fun getting started with.

Video transcript

00:01

This course is managing point cloud data and recap.

00:04

There are three objectives in the course.

00:07

These objectives are learning about structured non structured

00:10

and photo capture data using structured point cloud data

00:14

and using non structured point cloud data.

00:17

Each will take about 10 minutes or less to complete

00:20

and there is an exercise for each objective.

00:23

So you can practice what you've just

00:25

learned the information in this course

00:27

is important for the scan to be in process

00:30

or scan data is captured by a variety of methods.

00:34

And then the data is processed to index register crop

00:38

and export so that it can be used

00:40

in design authoring applications such as civil 3D

00:44

and InfraWorks.

00:46

The scan data type will have different features

00:49

and recap structured data from fixed position scanners

00:53

will have 3D orbs displayed that enable

00:56

us to jump into the real view, which

00:59

is the photo realistic display from the scanners

01:02

point of view.

01:04

These scans are used for detailing

01:06

complex items such as the piping and valves shown here.

01:11

Non structured data is the most common point cloud data used

01:15

for infrastructure projects.

01:17

There are many basic tools in recap

01:19

here we can see how point cloud data can be styled by elevation

01:24

and now I'm using view states to look

01:26

at different areas of my point cloud

01:31

the measurement tools are important to use

01:34

to validate the units and scale of the data.

01:39

Here we check a vertical measurement

01:41

to see that the hype of the pedestrian bridge in meters

01:45

is accurate.

01:48

Because point cloud data is so large

01:50

containing millions and millions of points.

01:53

We need to use the selection tools to create regions.

01:58

This breaks down the project into areas of interest

02:01

or creates multiple smaller data sets for more efficient use

02:06

in Civil 3D.

02:08

We can also use regions to eliminate unnecessary data

02:18

recap exports point cloud data from the region collection

02:23

and creates r RCS RCP file types.

02:28

These are the file types imported

02:31

in Civil 3D and InfraWorks as well as

02:34

other Autodesk applications such as rivet and even autocad.

02:39

Now you can get started with the three course objectives

02:42

and try out point cloud data in the exercises.

02:46

So have fun getting started with.

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Introduction

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