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 1131–1140 of 2605 papers

TitleStatusHype
Cooperative Multi-Modal Localization in Connected and Autonomous Vehicles—0
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks—0
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty—0
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks—0
Cooperative Lane Changing via Deep Reinforcement Learning—0
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services—0
Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning—0
Cooperative Decision-Making in Shared Spaces: Making Urban Traffic Safer through Human-Machine Cooperation—0
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Benchmark Results

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