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 1951–2000 of 6092 papers

TitleStatusHype
Better Monocular 3D Detectors with LiDAR from the PastCode1
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather—0
Residual Chain Prediction for Autonomous Driving Path Planning—0
Detecting Every Object from EventsCode1
Human Detection from 4D Radar Data in Low-Visibility Field Conditions—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving—0
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs—0
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night SceneCode0
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Scaling Motion Forecasting Models with Ensemble Distillation—0
Exploring Probabilistic Models for Semi-supervised Learning—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—0
Is CLIP the main roadblock for fine-grained open-world perception?Code2
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks—0
Ego-Motion Aware Target Prediction Module for Robust Multi-Object TrackingCode0
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view CamerasCode2
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving—0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR SynthesisCode3
LidarDM: Generative LiDAR Simulation in a Generated WorldCode2
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban EnvironmentCode0
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning DenoisingCode1
Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications—0
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection—0
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder—0
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks—0
WcDT: World-centric Diffusion Transformer for Traffic Scene GenerationCode1
Improving Bird's Eye View Semantic Segmentation by Task Decomposition—0
Versatile Navigation under Partial Observability via Value-guided Diffusion Policy—0
ML KPI Prediction in 5G and B5G Networks—0
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving—0
End-to-End Autonomous Driving through V2X CooperationCode4
Weak-to-Strong 3D Object Detection with X-Ray DistillationCode0
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction—0
Denoising Low-dose Images Using Deep Learning of Time Series Images—0
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods—0
HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes—0
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior—0
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving DatasetsCode0
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous DrivingCode2
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation—0
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control—0
GraphAD: Interaction Scene Graph for End-to-end Autonomous DrivingCode2
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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