Adaptive confidence threshold selection improves F1 scores in explainable multi-task classification for autonomous driving and is supported by a new 958-image dataset.
Albrecht, Ahuman-centricmethodforgeneratingcausalexplanations in natural language for autonomous vehicle motion planning, arXiv preprint arXiv:2206.08783 (2022)
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Beyond Fixed Thresholds and Domain-Specific Benchmarks for Explainable Multi-Task Classification in Autonomous Vehicles
Adaptive confidence threshold selection improves F1 scores in explainable multi-task classification for autonomous driving and is supported by a new 958-image dataset.