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 221230 of 2605 papers

TitleStatusHype
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
End-to-end Lane Shape Prediction with TransformersCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge IntegrationCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel DrivingCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging EnvironmentsCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
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Benchmark Results

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