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Ansys Speos LiDAR Sensor

Course Overview

This course explains how to create and package an emitter and receiver channels, create and run simulations of what if scenarios and analyze LiDAR results using Ansys Speos.

Prerequisites

Teaching Method

Lectures and computer practical sessions to validate acquired knowledge.

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Learning Outcome

Following completion of this course, you will be able to:

  • Design and simulate a LiDAR model (Flashing, Scanning and Rotating).
  • Check the Field of View and the raw time-of-flight file of the optical system.
  • Create a Rotating Geometric LiDAR.

 Available Dates

Currently, no training dates available

Learning Options

Training materials for this course are available with a Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged. Please contact us.

Agenda

This is a one-day classroom course covering both lectures and workshops. For virtual training, this course is covered over 3 x 2-hour sessions lectures only.

Virtual Classroom Session 1

  • Module 01: Introduction
  • Module 02: Speos LiDAR Model
  • Workshop 02.1: Speos LiDAR Model
  • Workshop 02.2: Considering Output Glazing 

Virtual Classroom Session 2

  • Module 03: Results
  • Workshop 03: Results 

Virtual Classroom Session 3

  • Module 04: Rotating Geometric LiDAR Sensor
  • Workshop 04: Rotating Geometric LiDAR Sensor

Agenda

This is a one-day classroom course covering both lectures and workshops. For virtual training, this course is covered over 3 x 2-hour sessions lectures only.

Virtual Classroom Session 1

  • Module 01: Introduction
  • Module 02: Camera Sensor Definition
  • Workshop 02: Geometric Camera Definition 

Virtual Classroom Session 2

  • Module 03: Pixel Grid Projection
  • Workshop 03.1: Pixel Grid Projection
  • Workshop 03.2: Projected Grid on FMVSS111 Application 

Virtual Classroom Session 3

  • Module 04: Simulation Results
  • Workshop 04: Running Simulations
Topics Covered
 
  • Camera Sensor Definition: Simple Model and Enriched Model
  • Pixel Grid Projection
  • Simulation Results and Analysis

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