Quantitative Evaluation of Autonomous Driving in CARLA
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)(2021)
摘要
There have been many recent advancements in imitation and reinforcement learning for autonomous driving, but existing metrics generally lack the means to capture a wide range of driving behaviors and compare the severity of different failure cases. To address this shortcoming, we introduce Quan-titative Evaluation for Driving (QED), which assesses different aspects of driving behavior including th...
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关键词
Measurement,Correlation,Conferences,Reinforcement learning,Standardization,Weaving,Reproducibility of results
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