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 851900 of 6092 papers

TitleStatusHype
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion PredictionCode1
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR RepresentationsCode1
LEADER: Learning Attention over Driving Behaviors for Planning under UncertaintyCode1
Flexible Diffusion Modeling of Long VideosCode1
Learning hierarchical behavior and motion planning for autonomous drivingCode1
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G NetworksCode1
Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier GraphsCode1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
Anchor-free Small-scale Multispectral Pedestrian DetectionCode1
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous DrivingCode1
Large-scale moral machine experiment on large language modelsCode1
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event CamerasCode1
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic SegmentationCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy LearningCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal EstimationCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
An Efficient Domain-Incremental Learning Approach to Drive in All Weather ConditionsCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous DrivingCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential EquationCode1
Large Language Models Powered Context-aware Motion Prediction in Autonomous DrivingCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Latency-Aware Collaborative PerceptionCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Boosting Night-time Scene Parsing with Learnable FrequencyCode1
GANet: Goal Area Network for Motion ForecastingCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist WorkflowCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Language Prompt for Autonomous DrivingCode1
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object DetectionCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
A Survey on Deep Learning Technique for Video SegmentationCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic SegmentationCode1
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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