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 1561–1570 of 2605 papers

TitleStatusHype
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensityCode1
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study—0
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map—0
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction—0
A Shared Representation for Photorealistic Driving SimulatorsCode1
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior—0
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach—0
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Benchmark Results

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