OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

Understand

With deep learning and computer vision technology development, autonomous driving provides new solutions to improve traffic safety and efficiency.

• The importance of building high-quality datasets is self-evident, especially with the rise of end-to-end autonomous driving algorithms in recent years.
• Data plays a core role in the algorithm closed-loop system.
• However, collecting real-world data is expensive, time-consuming, and unsafe.