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

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Showing 1351–1400 of 6092 papers

TitleStatusHype
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving TestingCode1
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and SegmentationCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Exploring Data Augmentation for Multi-Modality 3D Object DetectionCode1
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
Multiscale Domain Adaptive YOLO for Cross-Domain Object DetectionCode1
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous DrivingCode1
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic TasksCode1
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep LearningCode1
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion GenerationCode1
Multi-View Radar Semantic SegmentationCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
N-Agent Ad Hoc TeamworkCode1
CLAD: A realistic Continual Learning benchmark for Autonomous DrivingCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
NeFSAC: Neurally Filtered Minimal SamplesCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Deep Federated Learning for Autonomous DrivingCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
Driving Style Alignment for LLM-powered Driver AgentCode1
Dream to Drive with Predictive Individual World ModelCode1
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For DrivingCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving AgentsCode1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
Domain Adaptation Through Task DistillationCode1
Domain Adaptive Object Detection for Autonomous Driving under Foggy WeatherCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous DrivingCode1
Does Thermal data make the detection systems more reliable?Code1
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement LearningCode1
Characterizing Driving Styles with Deep LearningCode1
One Million Scenes for Autonomous Driving: ONCE DatasetCode1
One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical DataCode1
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the WildCode1
Online Domain Adaptation for Occupancy MappingCode1
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
Distribution-Aware Continual Test-Time Adaptation for Semantic SegmentationCode1
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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