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 1991–2000 of 2605 papers

TitleStatusHype
Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning—0
Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle SafetyCode0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles—0
Landscape of Machine Implemented Ethics—0
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous VehiclesCode1
T^-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles—0
ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles—0
The Benefits of Autonomous Vehicles for Community-Based Trip Sharing—0
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles—0
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
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Benchmark Results

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