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 15811590 of 2605 papers

TitleStatusHype
Recurrent Bayesian Classifier Chains for Exact Multi-Label ClassificationCode0
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual InformationCode1
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learningCode0
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction0
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous VehiclesCode1
Deep Probability Estimation0
Towards Safe, Explainable, and Regulated Autonomous Driving0
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior0
CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous VehiclesCode0
Show:102550
← PrevPage 159 of 261Next →

Benchmark Results

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