<ul><li>This work focuses on the safety-oriented performance of 3D object detectors in autonomous driving contexts.</li><li>The lack of safety-oriented metrics in these perception models makes it challenging to ensure safe deployment.</li><li>The authors introduce uncompromising spatial constraints (USC) to demand predictions that fully cover objects from the vehicle's perspective and bird's-eye views.</li><li>The USC constraints enable quantitative evaluation, improving model performance and providing a more direct link to system safety.</li></ul>

USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving

Discover more