SOTAVerified

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.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 371380 of 2605 papers

TitleStatusHype
OpenLKA: an open dataset of lane keeping assist from market autonomous vehiclesCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
Efficient Reinforcement Learning via Decoupling Exploration and UtilizationCode1
Optimized adaptive MPC for lateral control of autonomous vehiclesCode1
Parameterized Decision-making with Multi-modal Perception for Autonomous DrivingCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud PredictionCode1
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
Counterfactual Multi-Agent Policy GradientsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified