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 1781–1790 of 2605 papers

TitleStatusHype
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks—0
FSNet: A Failure Detection Framework for Semantic Segmentation—0
Towards Robust Human Trajectory Prediction in Raw Videos—0
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains—0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
Semantic Mobile Base Station Placement—0
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes—0
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Benchmark Results

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