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 651–700 of 6092 papers

TitleStatusHype
Large Language Models Powered Context-aware Motion Prediction in Autonomous DrivingCode1
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture SearchCode1
SimPB: A Single Model for 2D and 3D Object Detection from Multiple CamerasCode1
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
RangeLDM: Fast Realistic LiDAR Point Cloud GenerationCode1
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Offboard Occupancy Refinement with Hybrid Propagation for Autonomous DrivingCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D PerceptionCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Fast Kernel Scene FlowCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous DrivingCode1
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud TrackingCode1
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object TrackingCode1
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision TransformerCode1
RIDERS: Radar-Infrared Depth Estimation for Robust SensingCode1
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous DrivingCode1
All-weather Multi-Modality Image Fusion: Unified Framework and 100k BenchmarkCode1
Multi-agent Path Finding for Cooperative Autonomous DrivingCode1
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist WorkflowCode1
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy PredictionCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
RSUD20K: A Dataset for Road Scene Understanding In Autonomous DrivingCode1
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention PredictionCode1
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
Context-Aware Interaction Network for RGB-T Semantic SegmentationCode1
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future OutlookCode1
Off-Road LiDAR Intensity Based Semantic SegmentationCode1
Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier GraphsCode1
Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather ConditionsCode1
STIGCN: spatial–temporal interaction‑aware graph convolution network for pedestrian trajectory predictionCode1
FENet: Focusing Enhanced Network for Lane DetectionCode1
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving SystemsCode1
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
Parameterized Decision-making with Multi-modal Perception for Autonomous DrivingCode1
TAO-Amodal: A Benchmark for Tracking Any Object AmodallyCode1
M-BEV: Masked BEV Perception for Robust Autonomous DrivingCode1
Object-Aware Domain Generalization for Object DetectionCode1
Regulating Intermediate 3D Features for Vision-Centric Autonomous DrivingCode1
EDA: Evolving and Distinct Anchors for Multimodal Motion PredictionCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMixCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
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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