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 481–490 of 2605 papers

TitleStatusHype
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving—0
Anticipatory Thinking Challenges in Open Worlds: Risk Management—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective—0
Classification of Safety Driver Attention During Autonomous Vehicle Operation—0
A Computational Model of Commonsense Moral Decision Making—0
CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning—0
Closing the gap towards end-to-end autonomous vehicle system—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
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Benchmark Results

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