RC: 86.91
Papers with Code · CC BY-SA 4.0
Autonomous Driving
Autonomous driving is the task of driving a vehicle without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.5">(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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Dataset기록된 모델 예시MetricPaperCode
SEPT
MR (K=6): 0.1032minADE (K=1): 1.4412minFDE (K=1): 3.1777MR (K=1): 0.5154
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Best Practices for 2-Body Pose Forecasting
Average MPJPE (mm) @ 1000 ms: 202Average MPJPE (mm) @ 600 ms: 129Average MPJPE (mm) @ 400 ms: 86Average MPJPE (mm) @ 200 ms: 39
논문
코드
데이터셋
12개논문
Driving Score: 61.181Route Completion: 86.694Infraction penalty: 0.714
A3DP: 20.21
Driving Score: 66.32Route Completion: 78.57Infraction penalty: 0.84
Driving Score: 61.846Route Completion: 94.459Infraction penalty: 0.640
Driving Score: 79.95Route Completion: 89.89Infraction penalty: 0.89
Driving Score: 76.18Route Completion: 88.23Infraction penalty: 0.84
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Driving Score: 75.14Route Completion: 85.63Infraction penalty: 0.87
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