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 20512060 of 2605 papers

TitleStatusHype
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles0
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis0
Platoon--assisted Vehicular Cloud in VANET: Vision and Challenges0
Enhanced Normalized Mutual Information for Localization in Noisy Environments0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference0
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions0
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving0
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Benchmark Results

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