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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1876–1900 of 6092 papers

TitleStatusHype
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial RepresentationsCode0
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum LearningCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
InfraParis: A multi-modal and multi-task autonomous driving datasetCode0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learningCode0
Impact of Surface Reflections in Maritime Obstacle DetectionCode0
Imitation Learning for Autonomous Driving: Insights from Real-World TestingCode0
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic ConditionsCode0
Asymmetric Dual-Decoder U-Net for Joint Rain and Haze RemovalCode0
Speeding Up Iterative Closest Point Using Stochastic Gradient DescentCode0
A Survey on World Models Grounded in Acoustic Physical InformationCode0
Illuminating Pedestrians via Simultaneous Detection & SegmentationCode0
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal ImagesCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Image Based Camera Localization: an OverviewCode0
Vehicular Visible Light Positioning for Collision Avoidance and Platooning: A SurveyCode0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous DrivingCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
HyperFlow: Representing 3D Objects as SurfacesCode0
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation ModelsCode0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object DetectionCode0
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Benchmark Results

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