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 1891–1900 of 2605 papers

TitleStatusHype
Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment—0
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class ImbalanceCode0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
Detection of Cyber-Attacks in Collaborative Intersection Control—0
Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach—0
Spatial parking planning design with mixed conventional and autonomous vehicles—0
Rank-One Prior: Toward Real-Time Scene Recovery—0
Hierarchical Road Topology Learning for Urban Map-less Driving—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
A Hybrid Queuing Model for Coordinated Vehicle Platooning on Mixed-Autonomy Highways: Training and Validation—0
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Benchmark Results

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