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 15411550 of 2605 papers

TitleStatusHype
Towards 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving0
Traditional methods in Edge, Corner and Boundary detection0
Optimal Parking Planning for Shared Autonomous Vehicles0
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation0
Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach0
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor0
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies0
Information-Aware Guidance for Magnetic Anomaly based Navigation0
Satellite Image Based Cross-view Localization for Autonomous Vehicle0
Modeling mandatory and discretionary lane changes using dynamic interaction networks0
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Benchmark Results

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