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 291300 of 2605 papers

TitleStatusHype
A Shared Representation for Photorealistic Driving SimulatorsCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
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Benchmark Results

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