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 881–890 of 2605 papers

TitleStatusHype
A Safe Preference Learning Approach for Personalization with Applications to Autonomous VehiclesCode0
RGB-X Object Detection via Scene-Specific Fusion ModulesCode1
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition—0
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control—0
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
Interactive Joint Planning for Autonomous Vehicles—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM ClassifierCode0
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Benchmark Results

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