2 citations · 2 across the 1 of their papers we have counts for
3 papers · 1 filter
Physics-Based Plausibility Assessment of AI-Predicted Vehicle Parameters for Automotive Radar in Pre-Crash Scenarios
Rainer Engert, Patrick Zaumseil, Thomas Brandmeier
Automotive radar is a key sensing modality for safety-critical vehicle functions due to its robustness under adverse weather and lighting conditions. Recent advances in AI-based ra…
Anchor-Based AI Approach for Pre-Crash Object Detection Utilizing Micro-Doppler Signatures in Automotive Radar
Patrick Zaumseil, Rainer Engert, Dagmar Steinhauser +3
Advanced automated driving presents significant potential to improve modern automotive safety systems, but it depends highly on the reliable activation of restraint systems. Forwar…
Safe Autonomous Driving in Adverse Weather: Sensor Evaluation and Performance Monitoring
Fatih Sezgin, Daniel Vriesman, Dagmar Steinhauser +2
The vehicle's perception sensors radar, lidar and camera, which must work continuously and without restriction, especially with regard to automated/autonomous driving, can lose per…