[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

A comprehensive survey on tinyml

Y Abadade, A Temouden, H Bamoumen… - IEEE …, 2023 - ieeexplore.ieee.org
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects

M Sadaf, Z Iqbal, AR Javed, I Saba, M Krichen… - Technologies, 2023 - mdpi.com
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

Machine learning-assisted self-powered intelligent sensing systems based on triboelectricity

Z Tian, J Li, L Liu, H Wu, X Hu, M Xie, Y Zhu, X Chen… - Nano Energy, 2023 - Elsevier
The advancement of 5G and the Internet of Things (IoT) has ushered in an era of super-
interconnected intelligence, which promises high-quality social development. Triboelectric …

Multi-agent reinforcement learning for autonomous vehicles: A survey

J Dinneweth, A Boubezoul, R Mandiau… - Autonomous Intelligent …, 2022 - Springer
In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …

Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance

SH Ashwin, R Naveen Raj - International Journal of Information …, 2023 - Springer
Numerous accidents and fatalities occur every year across the world as a result of the
reckless driving of drivers and the ever-increasing number of vehicles on the road. Due to …

Evaluating the determinants of consumer adoption of autonomous vehicles in Thailand—An extended UTAUT model

S Chaveesuk, W Chaiyasoonthorn, N Kamales… - Energies, 2023 - mdpi.com
This study explores the effects of autonomous cars and how they may affect the design of
transportation systems. The research investigated the determinants of consumer adoption of …

[HTML][HTML] A Q-learning-based smart clustering routing method in flying Ad Hoc networks

M Hosseinzadeh, J Tanveer, AM Rahmani… - Journal of King Saud …, 2024 - Elsevier
Flying ad hoc networks (FANETs) have particular importance in various military and civilian
applications due to their specific features, including frequent topological changes, the …

Object detection in adverse weather condition for autonomous vehicles

EO Appiah, S Mensah - Multimedia Tools and Applications, 2024 - Springer
As self-driving or autonomous vehicles proliferate in our society, there is a need for their
computing vision systems to be able to identify objects accurately, no matter the weather …

[HTML][HTML] Towards robust car-following based on deep reinforcement learning

F Hart, O Okhrin, M Treiber - Transportation research part C: emerging …, 2024 - Elsevier
One of the biggest challenges in the development of learning-driven automated driving
technologies remains the handling of uncommon, rare events that may have not been …