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 301–325 of 2605 papers

TitleStatusHype
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed TrafficCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futuresCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
FollowNet: A Comprehensive Benchmark for Car-Following Behavior ModelingCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Ford Multi-AV Seasonal DatasetCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
Guided Conditional Diffusion for Controllable Traffic SimulationCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformerCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
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Benchmark Results

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