[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

A Gupta, A Anpalagan, L Guan, AS Khwaja - Array, 2021 - Elsevier
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022 - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Governance of artificial intelligence

A Taeihagh - Policy and society, 2021 - academic.oup.com
The rapid developments in Artificial Intelligence (AI) and the intensification in the adoption of
AI in domains such as autonomous vehicles, lethal weapon systems, robotics and alike pose …

Explanations in autonomous driving: A survey

D Omeiza, H Webb, M Jirotka… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

[HTML][HTML] The blended future of automation and AI: Examining some long-term societal and ethical impact features

HO Khogali, S Mekid - Technology in Society, 2023 - Elsevier
The potential impacts of machine learning and artificial intelligence (AI) on society are
receiving increased attention owing to the rapid growth of these technologies during the …

[HTML][HTML] Disclosing edge intelligence: A systematic meta-survey

V Barbuto, C Savaglio, M Chen, G Fortino - Big Data and Cognitive …, 2023 - mdpi.com
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …

A survey of privacy risks and mitigation strategies in the Artificial Intelligence life cycle

S Shahriar, S Allana, SM Hazratifard, R Dara - IEEE Access, 2023 - ieeexplore.ieee.org
Over the decades, Artificial Intelligence (AI) and machine learning has become a
transformative solution in many sectors, services, and technology platforms in a wide range …

[HTML][HTML] Deep learning and autonomous vehicles: Strategic themes, applications, and research agenda using SciMAT and content-centric analysis, a systematic …

FE Morooka, AM Junior, TFAC Sigahi, JS Pinto… - Machine Learning and …, 2023 - mdpi.com
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained
increasing interest from both researchers and companies. This has caused a rapid …

[PDF][PDF] Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market

M Mullins, CP Holland, M Cunneen - Patterns, 2021 - cell.com
Summary The European Union (EU) has a strong reputation and track record for the
development of guidelines for the ethical use of artificial intelligence (AI) generally. In this …