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 1711–1720 of 2605 papers

TitleStatusHype
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
A Highway Toll Lane Framework that Unites Autonomous Vehicles and High-occupancy Vehicles—0
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-SupervisionCode1
4C: A Computation, Communication, and Control Co-Design Framework for CAVs—0
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation—0
Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel—0
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Benchmark Results

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