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 691–700 of 2605 papers

TitleStatusHype
DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles—0
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Deep Radar Waveform Design for Efficient Automotive Radar Sensing—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles—0
Deep Probability Estimation—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
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Benchmark Results

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