Udemy - Sensors Simulation for Autonomous Systems

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Udemy - Sensors Simulation for Autonomous Systems (Size: 647.6 MB)
  1. Hardware & Software Requirement.mp4 814.4 KB
  1. Introduction.mp4 19.3 MB
  1. LiDAR Principles.mp4 67.7 MB
  1. Module Content.mp4 3.2 MB
  1. Radar Principles.mp4 30.5 MB
  1. SimXai Simulation.mp4 47.8 MB
  2. Course Content.mp4 4.8 MB
  2. LiDAR Simulation.mp4 37.7 MB
  2. Navigating the Editor.mp4 64.2 MB
  2. Radar Simulation.mp4 32.9 MB
  2. Running AV Example.mp4 79.3 MB
  2. SimXai Light Version.mp4 9.5 MB
  3. Placing Vehicles in the Scenario Editor.mp4 15.2 MB
  4. Refining Vehicle Behaviour.mp4 167.1 MB
  5. Tagging System.mp4 18.7 MB
  6. Scenario File Generation.mp4 13.5 MB
  7. Vehicle Trigger Boxes.mp4 35.4 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 19 total files

Description


Sensors Simulation for Autonomous Systems

https://DevCourseWeb.com

Published 2/2024
Created by SimXai Simulation Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 46m ) | Size: 647 MB

Sensors Simulation for Autonomous Systems using SimXai for Radar , Camera Lidar & Ultrasonics sensors

What you'll learn:
Learn how to simulate Radar , Camera and Lidar sensors for autonomous systems using SimXai simulator
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data
Process raw lidar data using Velodyne sensors with filtering, segmentation, and clustering to detect other vehicles on the road
Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusions

Requirements:
Basic knowledge of LabVIEW programming

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