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 12911300 of 2605 papers

TitleStatusHype
Autonomy 2.0: The Quest for Economies of Scale0
Hypercongestion, autonomous vehicle, and urban spatial structure0
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation0
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input0
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors0
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization0
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
A Survey on Datasets for Decision-making of Autonomous Vehicle0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning0
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Benchmark Results

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