A Survey of Deep Learning Applications to Autonomous Vehicle Control

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Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks

Wang, J., & Chen, Z. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306094 · Cited by 18 · see citing works

Internet of Vehicles – System of Systems Distributed Intelligence for Mobility Applications

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Applying Deep Convolutional Neural Network (DCNN) Algorithm in the Cloud Autonomous Vehicles Traffic Model

Dhaya, R., & Kanthavel, R. (2022) · The International Arab Journal of Information Technology · doi:10.34028/iajit/19/2/5 · Cited by 18 · see citing works

fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems

Marchisio, A., Caramia, G., Martina, M., & Shafique, M. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892612 · Cited by 16 · see citing works

Multi-Time Resolution Ensemble LSTMs for Enhanced Feature Extraction in High-Rate Time Series

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Optimizing object detection for autonomous robots: a comparative analysis of YOLO models

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Generating Merging Strategies for Connected Autonomous Vehicles Based on Spatiotemporal Information Extraction Module and Deep Reinforcement Learning

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Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles

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Control with adaptive Q-learning: A comparison for two classical control problems

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Conditional recurrent neural networks for broad applications in nonlinear optics

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Hierarchical rule‐base reduction fuzzy control for constant velocity path tracking of a differential steer vehicle

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Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles

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Functional Model of a Self-Driving Car Control System

Sviatov, K. V., Yarushkina, N. G., Kanin, D., Rubtcov, I., Jitkov, R., Mikhailov, V., & Kanin, P. (2021) · Technologies · doi:10.3390/technologies9040100 · Cited by 9 · see citing works

Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors

Sun, R., Li, Y., Lingrand, D., & Precioso, F. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00170 · Cited by 14 · see citing works

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multiagent Scenarios

Young, A., Taves, J., Elmquist, A., Benatti, S., Tasora, A., Serban, R., & Negruţ, D. (2021) · Journal of Computational and Nonlinear Dynamics · doi:10.1115/1.4053321 · Cited by 8 · see citing works

Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories

Acharya, A., Russell, R. L., & Ahmed, N. R. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10160766 · Cited by 7 · see citing works

Robust navigation with tinyML for autonomous mini-vehicles.

de Prado, M., Donze, R., Capotondi, A., Rusci, M., Monnerat, S., Luca Benini, C., & Pazos, N. (2020) · Cited by 6 · see citing works

Heterogeneous domain adaptation method for tomato leaf disease classification base on CycleGAN

Cho, S., Jeong, S.-H., Yu, J.-W., Choi, J.-B., & Kim, M. K. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-230561 · Cited by 6 · see citing works

Modeling and State Estimation of Autonomous Vehicles in Signalized Intersections

Emamifar, M., & Ghoreishi, S. F. (2023) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784484876.002 · Cited by 6 · see citing works

Local Repair of Neural Networks Using OptimizationPreprint

Majd, K., Zhou, S.-Y., Amor, H. B., Fainekos, G., & Sankaranarayanan, S. (2021) · arXiv.org · doi:10.48550/arxiv.2109.14041 · Cited by 9 · see citing works

ARC: Adversarially Robust Control Policies for Autonomous Vehicles

Kuutti, S., Fallah, S., & Bowden, R. (2021) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc48978.2021.9564579 · Cited by 5 · see citing works

Context–aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment

Gite, S., Kotecha, K. V., & Ghinea, G. (2021) · International Journal of Pervasive Computing and Communications · doi:10.1108/ijpcc-11-2020-0192 · Cited by 5 · see citing works

Applications of AI in Transportation Industry

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End-to-End Steering Angle Prediction for Autonomous Car Using Vision Transformer

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Safe Trajectory Planning Using Reinforcement Learning for Self DrivingPreprint

Coad, J., Qiao, Z., & Dolan, J. M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.04702 · Cited by 6 · see citing works

An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market

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Using a Deep Learning-Based Visual Computational Model to Identify Cognitive Strategies in Matrix Reasoning

Wang, Z., Liu, Y., & Zhan, P. (2024) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986241268907 · Cited by 4 · see citing works

Vehicle Adaptive Cruise Controller Based on an Optimal Super-twisting Sliding Mode Control

Hajjami, L. E., Mellouli, E. M., Žuraulis, V., & Berrada, M. (2022) · International Conference of Smart Systems and Emerging Technologies (SMARTTECH) · doi:10.1109/smarttech54121.2022.00044 · Cited by 4 · see citing works

Alpha Fusion Adversarial Attack Analysis Using Deep Learning

Khan, M., Ullah, A., Naz, I., Haider, S., Jhanji, N., Shorfuzzaman, M., & Masud, M. (2023) · Computer Systems Science and Engineering · doi:10.32604/csse.2023.029642 · Cited by 3 · see citing works

Effective Traffic Model for Intelligent Traffic Monitoring Enabled Deep RNN Algorithm for Autonomous Vehicles Surveillance Systems

Leelavathy, S., Muthu, N., Dhaya, R., Muthuselvan, S., Kanthavel, R., & Rajakumari, K. (2023) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec58147.2023.10276057 · Cited by 3 · see citing works

Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach

Moya-Albor, E., Brieva, J., Ponce-Espinosa, H., & Gomez-Coronel, S. L. (2021) · International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) · doi:10.1109/icmeae55138.2021.00012 · Cited by 2 · see citing works

Precise Control for Deep Driving using Dual Critic based DRL Approaches

Gupta, S., Singal, G., & Garg, D. (2021) · IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) · doi:10.1109/ivworkshops54471.2021.9669204 · Cited by 2 · see citing works

Fast and Modular Autonomy Software for Autonomous Racing Vehicles

Saba, A., Adetunji, A., Johnson, A., Kothari, A., Sivaprakasam, M., Spisak, J., Bharatia, P., Chauhan, A., Duff, B., Gasparro, N., et al. (2024) · Field Robotics · doi:10.55417/fr.2024001 · Cited by 2 · see citing works

Are Programmers in or out of Control?

Bo, M. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009431453.005 · Cited by 2 · see citing works

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future ProspectsPreprint

Salem, H., Quamar, M. M., Magad, A., Mohammed Elrashidy, Saeed, N., & Masood, M. (2023) · doi:10.36227/techrxiv.23653341 · Cited by 2 · see citing works

Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction

Islam, N., & Zulkernine, M. (2025) · arXiv · doi:10.48550/arxiv.2503.01089 · Cited by 1 · see citing works

A Macro-Micro Lane Changing Strategy for Congestion Mitigation in Mixed Traffic

Yang, Y., Liu, Y., & Roncoli, C. (2024) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc58415.2024.10919932 · Cited by 1 · see citing works

IoT based intelligent automobile monitoring and controlling

Sujatha, M., Muthusamy, M., Jakesh, P., Reddy, B. V. R., & Rathnam, B. V. (2022) · AIP conference proceedings · doi:10.1063/5.0118175 · Cited by 1 · see citing works

Key Factors that Negatively Affect Performance of Imitation Learning for Autonomous Driving

Rijanto, E., Changgraini, N., Saputra, R. P., & Abidin, Z. (2024) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.v5i1.20371 · Cited by 1 · see citing works

A Deep Reinforcement Learning Agent for Snake Game

Hossain, M. M., Fakokunde, A., & Olaolu, O. I. (2023) · International Journal of Artificial Intelligence · doi:10.36079/lamintang.ijai-01002.565 · Cited by 1 · see citing works

Deep Feature Learning Network for Vehicle Retrieval

Phung, T. T. T., Ly, N. Q., Vo, T. T., & Ho, M. T. N. (2021) · International Conference on Machine Learning and Soft Computing · doi:10.1145/3453800.3453804 · Cited by 2 · see citing works

Comparative Analysis of Steering Angle Prediction For Automated Object Using Deep Neural NetworkPreprint

Islam, M. K., Yeasmin, M. N., Kaushal, C., Amin, M. A., Islam, M. R., & Showrov, M. I. H. (2021) · doi:10.36227/techrxiv.16913443 · Cited by 1 · see citing works

Hierarchical Rule-Base Reduction Fuzzy Control for Path Tracking Variable Linear Speed Differential Steer VehiclesPreprint

Dekhterman, S. R., Norris, W. R., Sreenivas, R. S., Nottage, D. S., & Soylemezoglu, A. (2023) · doi:10.36227/techrxiv.24355153 · Cited by 1 · see citing works

Certification Challenges in Ml-Based Automotive Cyber-Physical SystemPreprint

Kshirsagar, P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4804337 · Cited by 1 · see citing works

Exploring Autonomous Vehicle Technology: Advancements, Challenges, and the Critical Role of SimulationPreprint

Meftah, L. H., & Cherif, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5117781 · Cited by 1 · see citing works

High-performance and energy-efficient deep learning for resource-constrained devices

Ren, A. (2020) · doi:10.17760/d20383685

Comparative Analysis of Steering Angle Prediction For Automated Object Using Deep Neural NetworkPreprint

Islam, M. K., Yeasmin, M. N., Kaushal, C., Amin, M. A., Islam, M. R., & Showrov, M. I. H. (2021) · doi:10.36227/techrxiv.16913443.v1

Comparative Analysis of Steering Angle Prediction For Automated Object Using Deep Neural NetworkPreprint

Islam, M. K., Yeasmin, M. N., Kaushal, C., Amin, M. A., Islam, M. R., & Showrov, M. I. H. (2021) · doi:10.36227/techrxiv.16913443.v2

Flexi-Compression: A Flexible Model Compression Method for Autonomous Driving

Liu, H. (2021) · doi:10.22215/etd/2021-14814

Real-world applicable deep learning techniques

Liu, N. (2020) · doi:10.17760/d20398269

Explainable deep learning approach to predict chemotherapy effect on breast tumor’s MRI

Adoui, M. E., Larhmam, M. A., Drisis, S., & Benjelloun, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-819872-8.00014-8

Deep Learning for Steering Angle Prediction in Autonomous Vehicles

Mishra, A. K. (2021) · Mathematical Statistician and Engineering Applications · doi:10.17762/msea.v70i2.2448

A Simulation Program that Controls Rockets Using AI Trained with Machine Learning

Guo, Z. (2023) · doi:10.5121/csit.2023.131319

Control longitudinal de un vehículo mediante aprendizaje por refuerzo profundo

Barreno, F., Santos, M., & García, M. R. (2023) · doi:10.17979/spudc.9788497498609.127

Optimizing Nonlinear Control Strategies for Autonomous Vehicles

Shwetabh, K. (2023) · Advances in Nonlinear Variational Inequalities · doi:10.52783/anvi.v26.i3.290

Parameter optimization for enhanced modeling of dynamic systems

Barzegar, V. (2023) · doi:10.31274/td-20240329-571

Evaluation of object classifier and cross layer network emulator: Application to autonomous vehicle

Ullah, H. (2022) · doi:10.31274/td-20240329-306

Human–Robot Interactions and Substantive Law

Gless, S., & Whalen-Bridge, H. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009431453.003

SafeDrive: A Framework for Real-Time Risk Mitigation in Smart Vehicles

Sinha, V. (2025) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem47405

Modeling Interactive High-Speed Lane-Changing Behavior Via Game Deep Maximum Entropy Inverse Reinforcement LearningPreprint

Li, W., Li, X., Li, L., Wang, K., & Zhang, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5339829

Deep Neural Network Compression for Visual Recognition

Dupont, R. (2023) · theses.fr (ABES) · doi:10.70675/42b047f5ze4c0z4685zb43az56bb33196d6b

Diagnostic adaptatif à l'environnement de navigation : apport de l'apprentissage profond pour une localisation sûre et précise

Harbaoui, N. (2022) · doi:10.70675/4d860c7fzec81z43e1zb863z7c8a8e370aa0

Contrôle partagé adaptatif et élaboration de stratégies de conduite personnalisées pour le véhicule automatisé : une approche par apprentissage progressif

Oudainia, M. R. (2023) · doi:10.70675/c6a7d003z218bz44c4za8f3z220d24f94fbb

Deep Learning for nanotechnology : crystal growth characterization and nano-photonics inverse design

Khaireh-Walieh, A. (2024) · doi:10.70675/16b018e5z3304z40cdz896fzbcef9769d597

Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation

Yagualca, F. A. A. (2023) · doi:10.70675/014474a1z8c34z40d1za63fz584bc85948be

Machine learning for timing estimation

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A Novel End-to-End Low-Light Image Segmentation Method and Its Application to Robotic Perception

Cao, Z., Mu, H., & Zhou, M. (2026) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2026.3716034

Edge-Intelligent AIoT-Based Traffic Signal Control Using Deep Reinforcement Learning Under V2X Communication Constraints: A Reproducible Lightweight Surrogate Study

Hong, S. (2026) · IEEE Access · doi:10.1109/access.2026.3731935

Expert-Data-Guided TD3 Trajectory Tracking Control for Corner-Module Vehicles with Multiple Steering Modes

Pi, D., Guan, C., Wang, J., Zhang, C., Xie, Z., Yan, Y., Wang, H., & Yin, G. (2026) · Chinese Journal of Mechanical Engineering · doi:10.1016/j.cjme.2026.100394

Haptic Shared Planning and Control: Enabling Coordination of Future Actions in Human-Autonomous Vehicle Teams Through a Haptic Negotiation Interface

Báez, H., Pan, H., Costa, J. M. D. R., Gideon, J., Sarter, N. B., & Gillespie, R. B. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261483656

Hybrid Deep Learning Based YOLOv7 Algorithm Animal Aware Intelligent Traffic Control

Choudhary, K., Kashyap, Y., & Mandloi, S. (2026) · RESEARCH REVIEW International Journal of Multidisciplinary · doi:10.31305/rrijm.2026.v11.n09.006

Bayesian Inference Based on Stochastic Optimization and Deep Learning

Liu, A., & Zhao, M. (2026) · Textbooks in telecommunication engineering · doi:10.1007/978-3-032-26656-9_17

Deep reinforcement learning for autonomous driving decision-making: Algorithms, applications and challenges

Li, J., Wu, P., Yang, X., Li, Z., Pengwen, X., Yang, L., Chi, H., Xie, X., Zeng, C., Cen, W., et al. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.116390

A closed-loop multimodal fusion network for hazardousmaterials transportation risk identificationPreprint

Chen, G., Li, Z., Zhou, Y., Li, J., Ma, Y., & Chai, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7584104

Overview of the software used in developing the Mars rover analogue autonomy system

Sołtys, K., Sudyk, S., Zieliński, S., & Żegleń, D. (2025) · Advances in IT and Electrical Engineering · doi:10.7862/ra.2025.3

A closed-loop multimodal fusion network for hazardous materials transportation risk identificationPreprint

Chen, G., li, Z., Ma, Y., & Chai, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7589347

Bridging Autonomous Driving and Electric-Mobility Systems: From Technical Interfaces to Cross-System Validation

Li, S., Fan, P., Tian, Z., & Wen, Y. (2026) · Vehicles · doi:10.3390/vehicles8100253

Real-time pedestrian detection for automotive systems using an optimized YOLOv9 framework

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Deep Learning for Vehicle Control

Kuutti, S., Fallah, S., & Bowden, R. (2019) · Synthesis lectures on advances in automotive technology · doi:10.1007/978-3-031-01502-1_3 · Cited by 1 · see citing works

Concluding Remarks

Kuutti, S., Fallah, S., & Bowden, R. (2019) · Synthesis lectures on advances in automotive technology · doi:10.1007/978-3-031-01502-1_5

Applying Deep Learning to Autonomous Vehicles: A Survey

Jing Ren, A., Gaber, H. A., & Jabar, S. S. A. (2021) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd51990.2021.9458968 · Cited by 26 · see citing works

End-to-End Deep Learning Control for Autonomous Vehicles

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Deep Learning for Autonomous Driving: A Survey of Methods, Paradigms, and Future Trends

Xiao, Y. (2025) · Springer Link (Chiba Institute of Technology) · doi:10.1051/itmconf/20258001033/pdf