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Multimodal End-to-End Autonomous Driving

https://doi.org/10.1109/tits.2020.3013234

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118868065openalex-snapshot

Computer Vision in Vehicle Technology

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Unveiling the Power of Deep Tracking

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_14openalex-snapshot

Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_36openalex-snapshot

CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving

inferredcites →https://doi.org/10.1007/978-3-030-01267-0_15openalex-snapshot

On Offline Evaluation of Vision-Based Driving Models

inferredcites →https://doi.org/10.1007/978-3-319-45886-1_2openalex-snapshot

Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling

inferredcites →https://doi.org/10.1007/978-3-319-59126-1_9openalex-snapshot

Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection

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The Stixel World - A Compact Medium Level Representation of the 3D-World

inferredcites →https://doi.org/10.1007/978-3-642-33715-4_41openalex-snapshot

Taking Mobile Multi-object Tracking to the Next Level: People, Unknown Objects, and Carried Items

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Illumination-aware faster R-CNN for robust multispectral pedestrian detection

inferredcites →https://doi.org/10.1016/j.patrec.2017.09.038openalex-snapshot

Multimodal vehicle detection: fusing 3D-LIDAR and color camera data

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A survey of robot learning from demonstration

inferredcites →https://doi.org/10.1016/j.tra.2016.09.010openalex-snapshot

Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?

inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot

Human-level control through deep reinforcement learning

inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot

Are we ready for autonomous driving? The KITTI vision benchmark suite

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.232openalex-snapshot

Traffic-Sign Detection and Classification in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2017.198openalex-snapshot

Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image

inferredcites →https://doi.org/10.1109/cvpr.2017.305openalex-snapshot

Deep Watershed Transform for Instance Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.376openalex-snapshot

End-to-End Learning of Driving Models from Large-Scale Video Datasets

inferredcites →https://doi.org/10.1109/cvpr.2017.597openalex-snapshot

3D Bounding Box Estimation Using Deep Learning and Geometry

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2017.691openalex-snapshot

Multi-view 3D Object Detection Network for Autonomous Driving

inferredcites →https://doi.org/10.1109/cvpr.2017.695openalex-snapshot

CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction

inferredcites →https://doi.org/10.1109/cvpr.2017.699openalex-snapshot

Unsupervised Monocular Depth Estimation with Left-Right Consistency

inferredcites →https://doi.org/10.1109/cvpr.2018.00024openalex-snapshot

Single View Stereo Matching

inferredcites →https://doi.org/10.1109/cvpr.2018.00102openalex-snapshot

Frustum PointNets for 3D Object Detection from RGB-D Data

inferredcites →https://doi.org/10.1109/cvpr.2018.00214openalex-snapshot

Deep Ordinal Regression Network for Monocular Depth Estimation

inferredcites →https://doi.org/10.1109/cvpr.2018.00412openalex-snapshot

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation

inferredcites →https://doi.org/10.1109/cvpr.2018.00472openalex-snapshot

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00781openalex-snapshot

Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

inferredcites →https://doi.org/10.1109/cvpr.2018.00798openalex-snapshot

PIXOR: Real-time 3D Object Detection from Point Clouds

inferredcites →https://doi.org/10.1109/cvpr.2019.01298openalex-snapshot

PointPillars: Fast Encoders for Object Detection From Point Clouds

inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot

Learning Deconvolution Network for Semantic Segmentation

inferredcites →https://doi.org/10.1109/iccv.2015.312openalex-snapshot

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

inferredcites →https://doi.org/10.1109/iccv.2015.347openalex-snapshot

Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor

inferredcites →https://doi.org/10.1109/iccv.2015.534openalex-snapshot

Learning to Track: Online Multi-object Tracking by Decision Making

inferredcites →https://doi.org/10.1109/iccv.2017.226openalex-snapshot

Multi-task Self-Supervised Visual Learning

inferredcites →https://doi.org/10.1109/iccv.2017.320openalex-snapshot

Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

inferredcites →https://doi.org/10.1109/iccv.2017.378openalex-snapshot

SGN: Sequential Grouping Networks for Instance Segmentation

inferredcites →https://doi.org/10.1109/iccv.2017.97openalex-snapshot

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

inferredcites →https://doi.org/10.1109/iccvw.2011.6130495openalex-snapshot

Stixels estimation without depth map computation

inferredcites →https://doi.org/10.1109/ichr.2007.4813899openalex-snapshot

Imitation learning for locomotion and manipulation

inferredcites →https://doi.org/10.1109/icip.2017.8296962openalex-snapshot

Simple online and realtime tracking with a deep association metric

inferredcites →https://doi.org/10.1109/icpr.2018.8546189openalex-snapshot

End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perceptions

inferredcites →https://doi.org/10.1109/icra.2018.8460487openalex-snapshot

End-to-End Driving Via Conditional Imitation Learning

inferredcites →https://doi.org/10.1109/icra.2018.8461018openalex-snapshot

Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking

inferredcites →https://doi.org/10.1109/icra.2018.8461102openalex-snapshot

Direct Visual SLAM Using Sparse Depth for Camera-LiDAR System

inferredcites →https://doi.org/10.1109/icra.2019.8793668openalex-snapshot

Learning to Drive from Simulation without Real World Labels

inferredcites →https://doi.org/10.1109/iros.2014.6943141openalex-snapshot

Pedestrian detection combining RGB and dense LIDAR data

inferredcites →https://doi.org/10.1109/iros.2017.8206396openalex-snapshot

MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes

inferredcites →https://doi.org/10.1109/iros.2018.8594049openalex-snapshot

Joint 3D Proposal Generation and Object Detection from View Aggregation

inferredcites →https://doi.org/10.1109/iros.2018.8594386openalex-snapshot

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing

inferredcites →https://doi.org/10.1109/itsc.2017.8317915openalex-snapshot

Imitation learning for vision-based lane keeping assistance

inferredcites →https://doi.org/10.1109/itsc.2017.8317923openalex-snapshot

Adding navigation to the equation: Turning decisions for end-to-end vehicle control

inferredcites →https://doi.org/10.1109/ivs.2016.7535373openalex-snapshot

Semantic Stixels: Depth is not enough

inferredcites →https://doi.org/10.1109/ivs.2017.7995975openalex-snapshot

End-to-end learning for lane keeping of self-driving cars

inferredcites →https://doi.org/10.1109/ivs.2018.8500465openalex-snapshot

Siamese-ResNet: Implementing Loop Closure Detection based on Siamese Network

inferredcites →https://doi.org/10.1109/ivs.2018.8500682openalex-snapshot

LocNet: Global Localization in 3D Point Clouds for Mobile Vehicles

inferredcites →https://doi.org/10.1109/ivs.2018.8500683openalex-snapshot

Monocular Depth Estimation by Learning from Heterogeneous Datasets

inferredcites →https://doi.org/10.1109/ivs.2018.8500686openalex-snapshot

Visual Place Recognition in Long-term and Large-scale Environment based on CNN Feature

inferredcites →https://doi.org/10.1109/ssrr.2017.8088138openalex-snapshot

Robust SLAM system based on monocular vision and LiDAR for robotic urban search and rescue

inferredcites →https://doi.org/10.1109/tcyb.2016.2593940openalex-snapshot

On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts

inferredcites →https://doi.org/10.1109/tip.2011.2142006openalex-snapshot

A Multilevel Mixture-of-Experts Framework for Pedestrian Classification

inferredcites →https://doi.org/10.1109/tits.2019.2892405openalex-snapshot

A Survey on 3D Object Detection Methods for Autonomous Driving Applications

inferredcites →https://doi.org/10.1109/tits.2020.2972974openalex-snapshot

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

inferredcites →https://doi.org/10.1109/tiv.2016.2578706openalex-snapshot

A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

inferredcites →https://doi.org/10.1109/tiv.2017.2749181openalex-snapshot

Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1146/annurev-control-060117-105157openalex-snapshot

Planning and Decision-Making for Autonomous Vehicles

inferredcites →https://doi.org/10.1177/0278364913495721openalex-snapshot

Reinforcement learning in robotics: A survey

inferredcites →https://doi.org/10.1177/0278364916679498openalex-snapshot

1 year, 1000 km: The Oxford RobotCar dataset

inferredcites →https://doi.org/10.1184/r1/6603146openalex-snapshot

ALVINN, an autonomous land vehicle in a neural network

inferredcites →https://doi.org/10.1561/0600000079openalex-snapshot

Computer Vision for Autonomous Vehicles

inferredcites →https://doi.org/10.1609/aaai.v32i1.11694openalex-snapshot

Deep Reinforcement Learning That Matters

inferredcites →https://doi.org/10.23919/icif.2018.8455757openalex-snapshot

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions

inferredcites →https://doi.org/10.3390/app9030535openalex-snapshot

A 3D Object Detection Based on Multi-Modality Sensors of USV

inferredcites →https://doi.org/10.3390/s120100429openalex-snapshot

Sensor Fusion of Monocular Cameras and Laser Rangefinders for Line-Based Simultaneous Localization and Mapping (SLAM) Tasks in Autonomous Mobile Robots

inferredcites →https://doi.org/10.3390/s16060820openalex-snapshot

Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison

inferredcites →https://doi.org/10.3390/s19020391openalex-snapshot

Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle

inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-snapshot

Fully Convolutional Networks for Semantic Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1604.06915openalex-snapshot

On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training

inferredcites →https://doi.org/10.48550/arxiv.1604.07316openalex-snapshot

End to End Learning for Self-Driving Cars

inferredcites →https://doi.org/10.48550/arxiv.1608.01230openalex-snapshot

Learning a Driving Simulator

inferredcites →https://doi.org/10.48550/arxiv.1704.05519openalex-snapshot

Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

inferredcites →https://doi.org/10.48550/arxiv.1704.07911openalex-snapshot

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

inferredcites →https://doi.org/10.48550/arxiv.1710.03804openalex-snapshot

End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies

inferredcites →https://doi.org/10.48550/arxiv.1712.00409openalex-snapshot

Deep Learning Scaling is Predictable, Empirically

inferredcites →https://doi.org/10.48550/arxiv.1801.06734openalex-snapshot

End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception

inferredcites →https://doi.org/10.48550/arxiv.1803.06199openalex-snapshot

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

inferredcites →https://doi.org/10.48550/arxiv.1804.09364openalex-snapshot

Driving Policy Transfer via Modularity and Abstraction

inferredcites →https://doi.org/10.48550/arxiv.1805.07545openalex-snapshot

End-to-end driving simulation via angle branched network

inferredcites →https://doi.org/10.48550/arxiv.1809.08993openalex-snapshot

Improved Semantic Stixels via Multimodal Sensor Fusion

inferredcites →https://doi.org/10.48550/arxiv.1809.11100openalex-snapshot

Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability

inferredcites →https://doi.org/10.48550/arxiv.1810.06544openalex-snapshot

Deep Imitative Models for Flexible Inference, Planning, and Control

inferredcites →https://doi.org/10.48550/arxiv.1812.05841openalex-snapshot

Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera

inferredcites →https://doi.org/10.48550/arxiv.1902.04272openalex-snapshot

Towards Self-Supervised High Level Sensor Fusion

inferredcites →https://doi.org/10.5244/c.31.87openalex-snapshot

Slanted Stixels: Representing San Francisco's Steepest Streets

inferredcites →https://doi.org/10.7249/rr1478openalex-snapshot

Driving to Safety: How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?

What points at this work

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LFF: An attention allocation-based following behavior framework in lane-free environments

inferred← citeshttps://doi.org/10.1016/j.trip.2025.101571openalex-snapshot

MST: A Modified Sparse Transformer with depth-aware attention for multi-modal camera–LiDAR fusion in autonomous vehicles

inferred← citeshttps://doi.org/10.1049/itr2.12372openalex-snapshot

Improving traffic time‐series predictability by imputing continuous non‐random missing data

inferred← citeshttps://doi.org/10.1080/09544828.2026.2698385openalex-snapshot

EECA: a design-oriented explainability framework for end-to-end cockpit agents

inferred← citeshttps://doi.org/10.1080/23249935.2026.2666104openalex-snapshot

SG-CADVLM: a context-aware decoding powered vision-language model for safety-critical scenario generation in autonomous driving

inferred← citeshttps://doi.org/10.1088/1361-6501/adf3d7openalex-snapshot

S-VFNet: a siamese object detection method based on salient features and visual features

inferred← citeshttps://doi.org/10.1088/2631-8695/ae281fopenalex-snapshot

Lightweight pedestrian detection utilizing multi-modal image fusion with dynamic multi-weight adjustment

inferred← citeshttps://doi.org/10.1093/jrsssb/qkag129openalex-snapshot

Meta Fusion: a unified framework for multimodal fusion with adaptive mutual learning

inferred← citeshttps://doi.org/10.1109/access.2021.3070212openalex-snapshot

A Review on Explainability in Multimodal Deep Neural Nets

inferred← citeshttps://doi.org/10.1109/access.2021.3116710openalex-snapshot

A New Open-Source Off-Road Environment for Benchmark Generalization of Autonomous Driving

inferred← citeshttps://doi.org/10.1109/access.2022.3192019openalex-snapshot

A Review of End-to-End Autonomous Driving in Urban Environments

inferred← citeshttps://doi.org/10.1109/access.2022.3203443openalex-snapshot

SETR-YOLOv5n: A Lightweight Low-Light Lane Curvature Detection Method Based on Fractional-Order Fusion Model

inferred← citeshttps://doi.org/10.1109/access.2024.3406260openalex-snapshot

SwapTransformer: Highway Overtaking Tactical Planner Model via Imitation Learning on OSHA Dataset

inferred← citeshttps://doi.org/10.1109/access.2024.3473611openalex-snapshot

End-to-End Autonomous Driving in CARLA: A Survey

inferred← citeshttps://doi.org/10.1109/access.2025.3552039openalex-snapshot

Revolutionizing AI-Enabled Information Systems Using Integrated Big Data Analytics and Multi-Modal Data Fusion

inferred← citeshttps://doi.org/10.1109/access.2025.3555539openalex-snapshot

A Review of Short-Term, Long-Term, and Memory Consolidation Mechanisms in the Hippocampus and Cerebral Cortex

inferred← citeshttps://doi.org/10.1109/akgec62572.2024.10868556openalex-snapshot

Key Safety Design Overview in AI-driven Autonomous and Battery-electric Vehicles

inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249351openalex-snapshot

Unrolled Multimodal Signal Restoration with Signed Twofold Graph Learning

inferred← citeshttps://doi.org/10.1109/cac57257.2022.10055735openalex-snapshot

BiGAIL: Learning Intention-based Driving Policy from Multi-task Demonstrations

inferred← citeshttps://doi.org/10.1109/cieec58067.2023.10167001openalex-snapshot

End-to-end autonomous vehicle navigation control method guided by the dynamic window approach

inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11452278openalex-snapshot

Robust Cross-Entropy Optimization for Safe and Stable Motion Planning in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/comst.2025.3563377openalex-snapshot

A Decade of Video Analytics at Edge: Training, Deployment, Orchestration, and Platforms

inferred← citeshttps://doi.org/10.1109/control60310.2024.10531819openalex-snapshot

Tuning the Feedback Controller Gains is a Simple Way to Improve Autonomous Driving Performance

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01458openalex-snapshot

HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction

inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00178openalex-snapshot

Explaining Autonomous Driving by Learning End-to-End Visual Attention

inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00501openalex-snapshot

Probabilistic Compositional Embeddings for Multimodal Image Retrieval

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00046openalex-snapshot

Multimodal Object Detection by Channel Switching and Spatial Attention

inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00447openalex-snapshot

Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains

inferred← citeshttps://doi.org/10.1109/ddcls61622.2024.10606596openalex-snapshot

End-to-End Autonomous Driving Algorithm Based on PPO and Its Implementation

inferred← citeshttps://doi.org/10.1109/ddcls71227.2026.11610375openalex-snapshot

Human-like trajectory evaluation function for autonomous driving: Perception-aligned structure design and expert data-driven parameter identification

inferred← citeshttps://doi.org/10.1109/dsd51259.2020.00081openalex-snapshot

Assuring the Safety of End-to-End Learning-Based Autonomous Driving through Runtime Monitoring

inferred← citeshttps://doi.org/10.1109/dsn-w58399.2023.00034openalex-snapshot

Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks

inferred← citeshttps://doi.org/10.1109/eircs70783.2026.11706180openalex-snapshot

A novel human experience-informed scoring and training mechanism with imitation and inverse reinforcement learning fusion for end-to-end autonomous driving

inferred← citeshttps://doi.org/10.1109/icaides67265.2025.11404042openalex-snapshot

Evaluating the Impact of Throttle-Aware Data on Conditional Imitation Learning for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/icccs57501.2023.10151280openalex-snapshot

Spatial-Temporal Multimodal End-to-End Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iccea53728.2021.00084openalex-snapshot

A Hierarchical Autonomous Driving Framework Combining Reinforcement Learning and Imitation Learning

inferred← citeshttps://doi.org/10.1109/iccsn63464.2024.10793347openalex-snapshot

Fusion of Multiple Sensors and V2V Information for 3D Object Detection

inferred← citeshttps://doi.org/10.1109/iccss51193.2021.9464174openalex-snapshot

Ambient Light Suppression in Visible Light Transceivers: A Review

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01550openalex-snapshot

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00088openalex-snapshot

Interpretable Decision-Making for End-to-End Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00475openalex-snapshot

From Static to Dynamic: A Survey of Topology-Aware Perception in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iccwamtip56608.2022.10016531openalex-snapshot

Self-Supervised Representation Learning for Motion Control of Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00021openalex-snapshot

Multimodal Deep Learning with Boosted Trees for Edge Inference

inferred← citeshttps://doi.org/10.1109/iceic61013.2024.10457156openalex-snapshot

Continuous Performance Improvement of Infrastructure Guidance Service for Autonomous Cooperative Driving: Focusing on Data-centric AI

inferred← citeshttps://doi.org/10.1109/ichi52183.2021.00017openalex-snapshot

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer’s Disease

inferred← citeshttps://doi.org/10.1109/iciis69028.2026.11450612openalex-snapshot

End-to-End Deep Learning for Lane Keeping Assist on Unmarked Sri Lankan Roads

inferred← citeshttps://doi.org/10.1109/icmra51221.2020.9398374openalex-snapshot

Deep Neural Network Gaussian Process Regression Method for End-to-end Driving Behavior Learning

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956592openalex-snapshot

Self-attention fusion for audiovisual emotion recognition with incomplete data

inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812276openalex-snapshot

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812407openalex-snapshot

Learning Interactive Driving Policies via Data-driven Simulation

inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561220openalex-snapshot

Deep Imitation Learning for Autonomous Navigation in Dynamic Pedestrian Environments

inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561299openalex-snapshot

Efficient and Robust LiDAR-Based End-to-End Navigation

inferred← citeshttps://doi.org/10.1109/icra48891.2023.10160326openalex-snapshot

ADAPT: Action-aware Driving Caption Transformer

inferred← citeshttps://doi.org/10.1109/icra48891.2023.10160803openalex-snapshot

Small-shot Multi-modal Distillation for Vision-based Autonomous Steering

inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161507openalex-snapshot

Anomaly Detection For Robust Autonomous Navigation

inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610188openalex-snapshot

InterCoop: Spatio-Temporal Interaction Aware Cooperative Perception for Networked Vehicles

inferred← citeshttps://doi.org/10.1109/icsp69961.2026.11540597openalex-snapshot

Cross-Modal Fusion Architecture Based on Efficient Attention Mechanism in Autonomous Driving Systems

inferred← citeshttps://doi.org/10.1109/icsp69961.2026.11540607openalex-snapshot

A modal separation deep reinforcement learning method for navigation of autonomous mobile robot

inferred← citeshttps://doi.org/10.1109/icus61736.2024.10839948openalex-snapshot

Adversarial and Cooperation Tasks in Multi- Agent System with Large Language Models

inferred← citeshttps://doi.org/10.1109/iecon51785.2023.10312462openalex-snapshot

Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650510openalex-snapshot

Sensor Fusion and Motion Planning with Unified Bird’s-Eye View Representation for End-to-end Autonomous Driving

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227437openalex-snapshot

Traffic Signals Enhanced Multi-modal Dual-Branch Cooperative Strategy for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227959openalex-snapshot

Multimodal Object Detection by Adaptive Channel Enhancement and Attention Fusion

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229354openalex-snapshot

CFD: A Novel Cylindrical Feature Fusion and Mapping Pipeline for Multi-view Self-Supervised Depth Estimation

inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981988openalex-snapshot

Planning for Negotiations in Autonomous Driving using Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636480openalex-snapshot

Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/iros55552.2023.10341506openalex-snapshot

Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning

inferred← citeshttps://doi.org/10.1109/iros55552.2023.10341728openalex-snapshot

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations

inferred← citeshttps://doi.org/10.1109/iros55552.2023.10342134openalex-snapshot

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802740openalex-snapshot

DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246711openalex-snapshot

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246798openalex-snapshot

MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation

inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564785openalex-snapshot

Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving

inferred← citeshttps://doi.org/10.1109/itsc55140.2022.9922202openalex-snapshot

Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS)

inferred← citeshttps://doi.org/10.1109/itsc55140.2022.9922477openalex-snapshot

Safety Co-Pilot: A System for Autonomous Vehicle to Make Decision Safer and Smarter

inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588598openalex-snapshot

Guiding Attention in End-to-End Driving Models

inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588815openalex-snapshot

CommonRoad-CARLA Interface: Bridging the Gap between Motion Planning and 3D Simulation

inferred← citeshttps://doi.org/10.1109/iv64158.2025.11097444openalex-snapshot

Domain Awareness via Spectral-normalized Neural Gaussian Processes for E2E Autonomous Vehicle Control

inferred← citeshttps://doi.org/10.1109/iv64158.2025.11097564openalex-snapshot

A Generalized Waypoint Loss for End-to-End Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iv64158.2025.11097569openalex-snapshot

PA-TCP: Interpretable End-to-End Autonomous Driving Through Parallel Adaptive Attention Mechanism and State Representation

inferred← citeshttps://doi.org/10.1109/iv64158.2025.11097688openalex-snapshot

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/iv64158.2025.11097709openalex-snapshot

$\mathcal{R}-\mathbf{CARLA}$: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing

inferred← citeshttps://doi.org/10.1109/iv64158.2025.11097814openalex-snapshot

MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation

inferred← citeshttps://doi.org/10.1109/iv66570.2026.11623928openalex-snapshot

A Graph-Based Metric on Dataset Diversity and Redundancy Evaluation

inferred← citeshttps://doi.org/10.1109/iv66570.2026.11624007openalex-snapshot

PRAM-R: A Perception-Reasoning-Action-Memory Framework with LLM-Guided Modality Routing for Adaptive Autonomous Driving

inferred← citeshttps://doi.org/10.1109/ivworkshops54471.2021.9669240openalex-snapshot

Quantitative Evaluation of Autonomous Driving in CARLA

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3649056openalex-snapshot

Myocardial Infarction Detection With Incomplete Multi-View Data via Dual-Branch Gating Completion and Dirichlet Weighting

inferred← citeshttps://doi.org/10.1109/jetcas.2024.3386639openalex-snapshot

Human–Machine Collaborative Image Compression Method Based on Implicit Neural Representations

inferred← citeshttps://doi.org/10.1109/jiot.2025.3579862openalex-snapshot

Autonomous Driving: Integration of Segmentation and Depth Camera in a Curriculum Learning Approach

inferred← citeshttps://doi.org/10.1109/jiot.2025.3635092openalex-snapshot

End-to-End Autonomous Driving: From Classic Paradigm to Large Model Empowerment—A Comprehensive Survey

inferred← citeshttps://doi.org/10.1109/jphot.2024.3426929openalex-snapshot

MCIR-YOLO: White Medication Pill Classification Using Multi-Band Infrared Images

inferred← citeshttps://doi.org/10.1109/jsen.2020.3003121openalex-snapshot

Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding

inferred← citeshttps://doi.org/10.1109/jsen.2024.3442951openalex-snapshot

Multisensor Decision-Level Fusion Network Based on Attention Mechanism for Object Detection

inferred← citeshttps://doi.org/10.1109/jsen.2025.3574069openalex-snapshot

Decision-Making Method Combining Path-Constraint-Based Action Compensation for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/lra.2020.2966414openalex-snapshot

Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation

inferred← citeshttps://doi.org/10.1109/lra.2021.3064461openalex-snapshot

Towards Multi-Modal Perception-Based Navigation: A Deep Reinforcement Learning Method

inferred← citeshttps://doi.org/10.1109/lra.2023.3320491openalex-snapshot

RIANet++: Road Graph and Image Attention Networks for Robust Urban Autonomous Driving Under Road Changes

inferred← citeshttps://doi.org/10.1109/lra.2024.3440097openalex-snapshot

DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model

inferred← citeshttps://doi.org/10.1109/lra.2026.3728332openalex-snapshot

Consequence Learning for Trajectory Planning in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/lsp.2024.3509335openalex-snapshot

Enhancing the Transferability of Adversarial Point Clouds by Initializing Transferable Adversarial Noise

inferred← citeshttps://doi.org/10.1109/mits.2021.3085986openalex-snapshot

Human-Like Decision Making of Artificial Drivers in Intelligent Transportation Systems: An End-to-End Driving Behavior Prediction Approach

inferred← citeshttps://doi.org/10.1109/most57249.2023.00011openalex-snapshot

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3577193openalex-snapshot

Radar-LiDAR Fusion-Aided RF Beams Prediction for Vehicular Communications

inferred← citeshttps://doi.org/10.1109/qrs-c65679.2025.00019openalex-snapshot

JANUS-CARLA: An Emergency-Oriented Driving Assistance Framework with Fast Hazard Detection and Response Powered by Multimodal Large Language Models

inferred← citeshttps://doi.org/10.1109/radarconf2351548.2023.10149671openalex-snapshot

Time-Sensitive and Distance-Tolerant Deep Learning-Based Vehicle Detection Using High-Resolution Radar Bird's-Eye-View Images

inferred← citeshttps://doi.org/10.1109/rcar61438.2024.10671241openalex-snapshot

Oracle-Based Conditional Imitation Learning for Autonomous Navigation

inferred← citeshttps://doi.org/10.1109/robio55434.2022.10011819openalex-snapshot

Learning Robust Vehicle Navigation Policy Under Interference and Partial Sensor Failures

inferred← citeshttps://doi.org/10.1109/sas58821.2023.10254075openalex-snapshot

LiDAR and Camera Raw Data Sensor Fusion in Real-Time for Obstacle Detection

inferred← citeshttps://doi.org/10.1109/smc42975.2020.9283065openalex-snapshot

Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study

inferred← citeshttps://doi.org/10.1109/spw63631.2024.00027openalex-snapshot

Research Report: Testing and Evaluating Artificial Intelligence Applications

inferred← citeshttps://doi.org/10.1109/taes.2023.3275887openalex-snapshot

Deep Neural Networks-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging

inferred← citeshttps://doi.org/10.1109/tase.2026.3709498openalex-snapshot

DynaFuser: Uncertainty-Aware Dynamic Multimodal Fusion for End-to-End Autonomous Driving

inferred← citeshttps://doi.org/10.1109/tcds.2024.3405896openalex-snapshot

Deep Reinforcement Learning for Autonomous Driving Based on Safety Experience Replay

inferred← citeshttps://doi.org/10.1109/tcst.2023.3332438openalex-snapshot

Safe and Human-Like Autonomous Driving: A Predictor–Corrector Potential Game Approach

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3168279openalex-snapshot

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning

inferred← citeshttps://doi.org/10.1109/tcyb.2025.3535159openalex-snapshot

High-Level Decision Making in a Hierarchical Control Framework: Integrating HMDP and MPC for Autonomous Systems

inferred← citeshttps://doi.org/10.1109/tip.2025.3642612openalex-snapshot

Incomplete Modalities Restoration via Hierarchical Adaptation for Robust Multimodal Segmentation

inferred← citeshttps://doi.org/10.1109/tits.2022.3144867openalex-snapshot

A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/tits.2022.3145588openalex-snapshot

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

inferred← citeshttps://doi.org/10.1109/tits.2022.3147248openalex-snapshot

AGBM: An Adaptive Gradient Balanced Mechanism for the End-to-End Steering Estimation

inferred← citeshttps://doi.org/10.1109/tits.2022.3162635openalex-snapshot

Multidomain Suppression of Ambient Light in Visible Light Communication Transceivers

inferred← citeshttps://doi.org/10.1109/tits.2022.3190294openalex-snapshot

FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks

inferred← citeshttps://doi.org/10.1109/tits.2023.3270887openalex-snapshot

Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives

inferred← citeshttps://doi.org/10.1109/tits.2023.3299229openalex-snapshot

Reliability of Deep Neural Networks for an End-to-End Imitation Learning-Based Lane Keeping

inferred← citeshttps://doi.org/10.1109/tits.2023.3312453openalex-snapshot

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

inferred← citeshttps://doi.org/10.1109/tits.2023.3340676openalex-snapshot

A Hierarchical LiDAR Simulation Framework Incorporating Physical Attenuation Response in Autonomous Driving Scenarios

inferred← citeshttps://doi.org/10.1109/tits.2023.3344518openalex-snapshot

Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios

inferred← citeshttps://doi.org/10.1109/tits.2023.3349198openalex-snapshot

Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework

inferred← citeshttps://doi.org/10.1109/tits.2024.3400227openalex-snapshot

Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model

inferred← citeshttps://doi.org/10.1109/tits.2024.3402655openalex-snapshot

LAM-Depth: Laplace-Attention Module-Based Self-Supervised Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1109/tits.2024.3452480openalex-snapshot

A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions

inferred← citeshttps://doi.org/10.1109/tits.2024.3467175openalex-snapshot

Multimodal-XAD: Explainable Autonomous Driving Based on Multimodal Environment Descriptions

inferred← citeshttps://doi.org/10.1109/tits.2024.3483810openalex-snapshot

Understanding Decision-Making of Autonomous Driving via Semantic Attribution

inferred← citeshttps://doi.org/10.1109/tits.2024.3513400openalex-snapshot

Exploring Decision Shifts in Autonomous Driving With Attribution-Guided Visualization

inferred← citeshttps://doi.org/10.1109/tits.2024.3516089openalex-snapshot

CDRP3: Cascade Deep Reinforcement Learning for Urban Driving Safety With Joint Perception, Prediction, and Planning

inferred← citeshttps://doi.org/10.1109/tits.2024.3525059openalex-snapshot

Accelerated Testing and Evaluation for Black-Box Autonomous Driving Systems via Adaptive Markov Chain Monte Carlo

inferred← citeshttps://doi.org/10.1109/tits.2025.3530143openalex-snapshot

Toward Human-Vehicle Collaboration for Automated Vehicles: A Review and Perspective

inferred← citeshttps://doi.org/10.1109/tits.2025.3547879openalex-snapshot

Traffic Scene-Informed Attribution of Autonomous Driving Decisions

inferred← citeshttps://doi.org/10.1109/tits.2025.3571726openalex-snapshot

A Comprehensive Review of Drone-Based Autonomous Driving Datasets: Methodology, Taxonomy, and Prospects

inferred← citeshttps://doi.org/10.1109/tits.2025.3581939openalex-snapshot

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/tits.2025.3601168openalex-snapshot

Decision-Making Strategy of Automated Vehicles in Heterogeneous Scenarios Based on Attention Networks

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