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Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models
As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow.
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection
We introduce Situation Monitor, a novel zero-shot Out-of-Distribution (OOD) detection approach for transformer-based object detection models to enhance reliability in safety-critical machine learning applications such as autonomous driving.
Safe Perception -- A Hierarchical Monitor Approach
Our transportation world is rapidly transforming induced by an ever increasing level of autonomy.
Robustness of Object Detectors in Degrading Weather Conditions
State-of-the-art object detection systems for autonomous driving achieve promising results in clear weather conditions.
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