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 911–920 of 2605 papers

TitleStatusHype
Safe Multi-agent Reinforcement Learning with Natural Language Constraints—0
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation—0
HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
Coverage Path Planning for Thermal Interface Materials—0
Mutual Information Analysis in Multimodal Learning Systems—0
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Benchmark Results

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