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 24812490 of 2605 papers

TitleStatusHype
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented RealityCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving0
Transfer Learning and Organic Computing for Autonomous Vehicles0
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA0
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 risks0
ViLDAR - Visible Light Sensing Based Speed Estimation using Vehicle's Headlamps0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture0
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Benchmark Results

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