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 501510 of 2605 papers

TitleStatusHype
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles0
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems0
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles0
A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles0
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration0
A Robust Pedestrian Detection Approach for Autonomous Vehicles0
Optimal Lane-Free Crossing of CAVs through Intersections0
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Benchmark Results

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