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 1171–1180 of 2605 papers

TitleStatusHype
Dependable Neural Networks for Safety Critical Tasks—0
Autonomous Vehicle Convoy Control as a Differential Game—0
Dense Road Surface Grip Map Prediction from Multimodal Image Data—0
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Democratizing Reward Design for Personal and Representative Value-Alignment—0
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles—0
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
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Benchmark Results

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