Quantitative Evaluation of Autonomous Driving in CARLA

2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)(2021)

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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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