Robustness Evaluation of HD Map Constructors under Sensor Corruptions for Autonomous Driving

The paper focuses on evaluating the robustness of HD map constructors under various sensor corruptions using a comprehensive benchmark called MapBench. It highlights the vulnerability of existing methods to real-world challenges and suggests the importance of advanced data augmentation techniques and new network architectures to enhance robustness for autonomous driving applications.

Read full paper: https://arxiv.org/abs/2406.12214

Tags: Autonomous Driving, Computer Vision, AI Safety