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 211–220 of 2605 papers

TitleStatusHype
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance CamerasCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable ConceptsCode1
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous DrivingCode1
Guided Conditional Diffusion for Controllable Traffic SimulationCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
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Benchmark Results

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