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 1531–1540 of 2605 papers

TitleStatusHype
Roadmap for Cybersecurity in Autonomous Vehicles—0
Object Detection in Autonomous Vehicles: Status and Open Challenges—0
Ray Based Distributed Autonomous Vehicle Research Platform—0
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle PerceptionCode1
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems—0
Potential Game-Based Decision-Making for Autonomous Driving—0
Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet Management—0
Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect—0
On Adversarial Robustness of Trajectory Prediction for Autonomous VehiclesCode1
Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives—0
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Benchmark Results

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