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 1981–1990 of 2605 papers

TitleStatusHype
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles—0
Joint routing and pricing control in congested mixed autonomy networks—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous DrivingCode0
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary—0
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During DeploymentCode0
Multi-modal Experts Network for Autonomous Driving—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
A Survey of FPGA-Based Robotic Computing—0
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Benchmark Results

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