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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1271–1280 of 2605 papers

TitleStatusHype
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach—0
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance CamerasCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection—0
LAPTNet: LiDAR-Aided Perspective Transform Network—0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable ConceptsCode1
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Benchmark Results

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