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 1111–1120 of 2605 papers

TitleStatusHype
A Hybrid Queuing Model for Coordinated Vehicle Platooning on Mixed-Autonomy Highways: Training and Validation—0
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities—0
CoPEM: Cooperative Perception Error Models for Autonomous Driving—0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning—0
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery—0
A Benchmark for Vision-Centric HD Mapping by V2I Systems—0
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application—0
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Benchmark Results

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