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Sensors Simulation for Autonomous Systems

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

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.

What you’ll learn

Course Content

Requirements

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

 

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 )