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

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Showing 261–270 of 2605 papers

TitleStatusHype
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop ExperimentsCode1
A General Framework of Learning Multi-Vehicle Interaction Patterns from VideosCode1
Human Trajectory Prediction via Counterfactual AnalysisCode1
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
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Benchmark Results

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