RC: 86.91
Papers with Code · CC BY-SA 4.0
Autonomous Vehicles
Autonomous vehicles is the task of making a vehicle that can guide itself 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: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>
논문
Driving Score: 61.181Route Completion: 86.694Infraction penalty: 0.714
A3DP: 20.21
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
A3DP: 22.85
Driving Score: 24.98Route Completion: 46.97Infraction penalty: 0.52
Driving Score: 5.37Route Completion: 14.40Infraction penalty: 0.55
Driving Score: 36.79Route Completion: 61.85Infraction penalty: 0.6
Driving Score: 66.32Route Completion: 78.57Infraction penalty: 0.84
Driving Score: 8.94Route Completion: 17.54Infraction penalty: 0.73
Driving Score: 61.846Route Completion: 94.459Infraction penalty: 0.640
Driving Score: 31.37Route Completion: 57.65Infraction penalty: 0.56
Driving Score: 21.83Route Completion: 41.71Infraction penalty: 0.65
MR (K=6): 0.1056minADE (K=1): 1.5234minFDE (K=1): 3.3420MR (K=1): 0.5257
Driving Score: 79.95Route Completion: 89.89Infraction penalty: 0.89