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 201–210 of 2605 papers

TitleStatusHype
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous VehiclesCode1
Unleash the Potential of Image Branch for Cross-modal 3D Object DetectionCode1
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehiclesCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
Example-guided learning of stochastic human driving policies using deep reinforcement learningCode1
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty PredictionsCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Towards Explainable Motion Prediction using Heterogeneous Graph RepresentationsCode1
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Benchmark Results

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