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 2481–2490 of 2605 papers

TitleStatusHype
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA—0
YouTube AV 50K: An Annotated Corpus for Comments in Autonomous VehiclesCode0
Naturalistic Driver Intention and Path Prediction using Recurrent Neural NetworksCode0
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks—0
ViLDAR - Visible Light Sensing Based Speed Estimation using Vehicle's Headlamps—0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
A Dataset for Lane Instance Segmentation in Urban Environments—0
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera—0
Learning Traffic Flow Dynamics using Random Fields—0
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Benchmark Results

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