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Sensors Simulation for Autonomous Systems
Rating: 4.1 out of 5(21 ratings)
880 students

Sensors Simulation for Autonomous Systems

Sensors Simulation for Autonomous Systems using SimX for Radar , Camera Lidar and Ultrasonics sensors using LabVIEW
Created bySimX Academy
Last updated 11/2025
English

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

Course content

8 sections • 37 lectures • 1h 36m total length

  • Introduction1:21
  • Course Content0:57

Requirements

  • Basic knowledge of Sensor Theory

Description

Simulation is a key technology for developing, verifying and validating the behavior of highly automated vehicles in a variety of scenarios, environments, system configurations and driver characteristics. More and more engineers use this powerful technology in their daily work to solve multidimensional and interdisciplinary problems. Simulation is mainly used where classical experiments (under controlled conditions) are not possible due to the size, number and complexity or also because of the impact on the environment. The increasing product complexity of software-defined vehicles (SDV) and their mapping to digital twins (DT) also leads to deep supply chains in the simulation domain. To navigate this data ecosystem, it is not just about understanding the technology itself, but more importantly be able to confidently evaluate simulation models, methods and processes, know their limitations and optimize the relationship between business impact and resources used.


This course is designed to approach simulation-driven development of highly automated and self-driving cars from both a latest and a future technology perspective


Powered by NVIDIA  and Unreal Engine ,The course builds on standardization projects such as ASAM OpenX and covers software approaches to simplify participants' entry into the technology area


Modules

A - Sensors Simulation (Radar , Camera , Lidar , Ultrasonic Sensors)

B - Scenarios & Driving Functions ( ASAM OpenDrive , ASAM OpenScenario )


Who this course is for:

  • Sensor Fusion Engineer , Vehicle Test Engineer , ADAS/AV Function Owner

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