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 571–580 of 2605 papers

TitleStatusHype
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation—0
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain EstimationCode3
Coverage Path Planning for Thermal Interface Materials—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesCode2
HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model—0
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared SpaceCode1
Mutual Information Analysis in Multimodal Learning Systems—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles—0
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Benchmark Results

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