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 2451–2500 of 6092 papers

TitleStatusHype
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments—0
A Language Agent for Autonomous DrivingCode0
Mind the map! Accounting for existing map information when estimating online HDMaps from sensorCode3
Cooperative Perception with Learning-Based V2V communications—0
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving—0
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Lateral control for autonomous vehicles: A comparative evaluation—0
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges—0
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning—0
Human-Centric Autonomous Systems With LLMs for User Command ReasoningCode1
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks—0
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer—0
Refining the ONCE Benchmark with Hyperparameter Tuning—0
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsCode1
Multi-Agent Quantum Reinforcement Learning using Evolutionary OptimizationCode0
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous DrivingCode2
Exploring Event-based Human Pose Estimation with 3D Event RepresentationsCode1
Image Patch-Matching with Graph-Based Learning in Street Scenes—0
Lidar Annotation Is All You NeedCode1
PRED: Pre-training via Semantic Rendering on LiDAR Point CloudsCode0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
AGNES: Abstraction-guided Framework for Deep Neural Networks Security—0
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
Flexible Multi-Generator Model with Fused Spatiotemporal Graph for Trajectory Prediction—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook—0
P2O-Calib: Camera-LiDAR Calibration Using Point-Pair Spatial Occlusion Relationship—0
Levels of AGI for Operationalizing Progress on the Path to AGI—0
OSM vs HD Maps: Map Representations for Trajectory Prediction—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsCode1
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images—0
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
LLM4Drive: A Survey of Large Language Models for Autonomous DrivingCode3
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts—0
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
Learning Cooperative Trajectory Representations for Motion ForecastingCode1
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators—0
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point CloudsCode1
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
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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