Search Results for author:
Found 4 papers, 1 papers with code
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles
The synergistic safety layer uses only verifiable and logically analyzable software to fulfill its tasks.
Verifiable Obstacle Detection
Perception of obstacles remains a critical safety concern for autonomous vehicles.
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving
Object detection in state-of-the-art Autonomous Vehicles (AV) framework relies heavily on deep neural networks.
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles
Commonly used metrics for evaluation of object detection systems (precision, recall, mAP) do not give complete information about their suitability of use in safety critical tasks, like obstacle detection for collision avoidance in Autonomous Vehicles (AV).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
