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 19011925 of 6092 papers

TitleStatusHype
Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learningCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Vehicular Visible Light Positioning for Collision Avoidance and Platooning: A SurveyCode0
Image Segmentation: Inducing graph-based learningCode0
Impact of Surface Reflections in Maritime Obstacle DetectionCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal ImagesCode0
Illuminating Pedestrians via Simultaneous Detection & SegmentationCode0
Image Based Camera Localization: an OverviewCode0
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous DrivingCode0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Counterexample-Guided Data AugmentationCode0
HyperFlow: Representing 3D Objects as SurfacesCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
Cost-Sensitive Uncertainty-Based Failure Recognition for Object DetectionCode0
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object DetectionCode0
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation ModelsCode0
Cosine meets Softmax: A tough-to-beat baseline for visual groundingCode0
3D-model ShapeNet Core Classification using Meta-Semantic LearningCode0
HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map SegmentationCode0
H_ Model-free Reinforcement Learning with Robust Stability GuaranteeCode0
HiLO: High-Level Object Fusion for Autonomous Driving using TransformersCode0
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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