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 1841–1850 of 2605 papers

TitleStatusHype
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment—0
Technical Report on Data Integration and Preparation—0
Pseudo-labeling for Scalable 3D Object Detection—0
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks—0
Scalable Scene Flow from Point Clouds in the Real WorldCode1
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change DetectionCode1
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
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Benchmark Results

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