SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 12261250 of 6092 papers

TitleStatusHype
Multi-View Radar Semantic SegmentationCode1
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective WhiteningCode1
LiDAR R-CNN: An Efficient and Universal 3D Object DetectorCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform RepresentationCode1
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
Multimodal Motion Prediction with Stacked TransformersCode1
Learn-to-Race: A Multimodal Control Environment for Autonomous RacingCode1
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-SupervisionCode1
Video Class Agnostic Segmentation Benchmark for Autonomous DrivingCode1
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving IntelligenceCode1
Adversarial Driving: Attacking End-to-End Autonomous DrivingCode1
Monocular Quasi-Dense 3D Object TrackingCode1
DSEC: A Stereo Event Camera Dataset for Driving ScenariosCode1
Model-free Vehicle Tracking and State Estimation in Point Cloud SequencesCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Pixel-wise Anomaly Detection in Complex Driving ScenesCode1
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMCode1
A Simple and Efficient Multi-task Network for 3D Object Detection and Road UnderstandingCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point CloudsCode1
Model-based Constrained Reinforcement Learning using Generalized Control Barrier FunctionCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place RecognitionCode1
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified