AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms

Understand

Simulation systems have become an essential component in the development and validation of autonomous driving technologies.

• The prevailing state-of-the-art approach for simulation is to use game engines or high-fidelity computer graphics (CG) models to create driving scenarios.
• However, creating CG models and vehicle movements (e.g., the assets for simulation) remains a manual task that can be costly and time-consuming.
• In addition, the fidelity of CG images still lacks the richness and authenticity of real-world images and using these images for training leads to degraded performance.