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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2031–2040 of 2605 papers

TitleStatusHype
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World—0
A Generic Framework for Clustering Vehicle Motion Trajectories—0
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
Multi-modal Experts Network for Autonomous Driving—0
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During DeploymentCode0
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary—0
Show:102550
← PrevPage 204 of 261Next →

Benchmark Results

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