2 papers
cs.CV2024
A Flow-based Credibility Metric for Safety-critical Pedestrian Detection
Maria Lyssenko, Christoph Gladisch, Christian Heinzemann +2
Safety is of utmost importance for perception in automated driving (AD). However, a prime safety concern in state-of-the art object detection is that standard evaluation schemes ut…
cs.LG2024
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving
Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar +2
In safety-critical domains like automated driving (AD), errors by the object detector may endanger pedestrians and other vulnerable road users (VRU). As common evaluation metrics a…