From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving

05/23/2023
by   Ferdinand Mütsch, et al.
0

Simulation is an integral part in the process of developing autonomous vehicles and advantageous for training, validation, and verification of driving functions. Even though simulations come with a series of benefits compared to real-world experiments, various challenges still prevent virtual testing from entirely replacing physical test-drives. Our work provides an overview of these challenges with regard to different aspects and types of simulation and subsumes current trends to overcome them. We cover aspects around perception-, behavior- and content-realism as well as general hurdles in the domain of simulation. Among others, we observe a trend of data-driven, generative approaches and high-fidelity data synthesis to increasingly replace model-based simulation.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset