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 231–240 of 2605 papers

TitleStatusHype
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Guided Conditional Diffusion for Controllable Traffic SimulationCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
Multimodal Object Detection via Probabilistic EnsemblingCode1
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
Fast and Robust Registration of Partially Overlapping Point CloudsCode1
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle PerceptionCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
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Benchmark Results

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