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 751760 of 2605 papers

TitleStatusHype
SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism0
Fourier Prompt Tuning for Modality-Incomplete Scene SegmentationCode1
SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object DetectionCode1
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object DetectionCode2
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate0
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities0
Overview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow0
Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles0
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Flooding Control in the Random Finite Set Framework0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
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Benchmark Results

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