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 1851–1900 of 6092 papers

TitleStatusHype
Just Go with the Flow: Self-Supervised Scene Flow EstimationCode0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesCode0
Relevance Attack on DetectorsCode0
Attacking Vision-based Perception in End-to-End Autonomous Driving ModelsCode0
On Adversarial Robustness of Point Cloud Semantic SegmentationCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Affordable Modular Autonomous Vehicle Development PlatformCode0
Inverse Reinforcement Learning in Contextual MDPsCode0
Single-Stage Open-world Instance Segmentation with Cross-task Consistency RegularizationCode0
Interpretable Safety Validation for Autonomous VehiclesCode0
Interpretable ML for Imbalanced DataCode0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
Intention-Aware Control Based on Belief-Space Specifications and Stochastic ExpansionCode0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object DetectionCode0
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map LearningCode0
Instance Segmentation by Deep ColoringCode0
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic SegmentationCode0
Increasing Data Efficiency of Driving Agent By World ModelCode0
Aerial Monocular 3D Object DetectionCode0
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time ApplicationsCode0
Informed Reinforcement Learning for Situation-Aware Traffic Rule ExceptionsCode0
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