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 2271–2280 of 2605 papers

TitleStatusHype
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods—0
GLADAS: Gesture Learning for Advanced Driver Assistance Systems—0
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion—0
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning—0
Using Image Priors to Improve Scene Understanding—0
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory PredictionCode0
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles—0
Automated design of error-resilient and hardware-efficient deep neural networks—0
Safe Reinforcement Learning on Autonomous Vehicles—0
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module—0
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Benchmark Results

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