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 1361–1370 of 2605 papers

TitleStatusHype
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
Satellite Image Based Cross-view Localization for Autonomous Vehicle—0
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature—0
Modeling mandatory and discretionary lane changes using dynamic interaction networks—0
Learning Relaxation for Multigrid—0
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery—0
CheckINN: Wide Range Neural Network Verification in Imandra (Extended)—0
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Benchmark Results

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