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

Showing 23012310 of 2605 papers

TitleStatusHype
Automated Detecting and Placing Road Objects from Street-level Images0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving0
Stackelberg Punishment and Bully-Proofing Autonomous Vehicles0
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing0
Cross-Enhancement Transform Two-Stream 3D ConvNets for Action Recognition0
How far should self-driving cars see? Effect of observation range on vehicle self-localization0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles0
Image-Guided Depth Sampling and Reconstruction0
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components0
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Benchmark Results

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