Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - IEEE Access, 2024 - ieeexplore.ieee.org
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

Exploration of issues, challenges and latest developments in autonomous cars

B Padmaja, CHV Moorthy, N Venkateswarulu… - Journal of Big Data, 2023 - Springer
Autonomous cars have achieved exceptional growth in the automotive industry in the last
century in terms of reliability, safety and affordability. Due to significant advancements in …

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks

W Ding, I Alrashdi, H Hawash, M Abdel-Basset - Information Sciences, 2024 - Elsevier
Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …

[HTML][HTML] Machine learning meets advanced robotic manipulation

S Nahavandi, R Alizadehsani, D Nahavandi, CP Lim… - Information …, 2024 - Elsevier
Automated industries lead to high quality production, lower manufacturing cost and better
utilization of human resources. Robotic manipulator arms have major role in the automation …

A sustainable ecology of mobility: DAO-based autonomous vehicular services

J Li, M Zhou, X Xue, J Zhu, S Han, L Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a brief summary of the Distributed/Decentralized Hybrid Workshop on sustainable
vehicular service ecology, this letter discusses the challenges of autonomous vehicular …

Anomaly diagnosis of connected autonomous vehicles: A survey

Y Fang, H Min, X Wu, W Wang, X Zhao… - Information …, 2024 - Elsevier
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

[HTML][HTML] Unlocking the black box of CNNs: Visualising the decision-making process with PRISM

T Szandała - Information Sciences, 2023 - Elsevier
Technology has grown rapidly in recent years, and new solutions that rely on Machine
Learning (ML) and Artificial Intelligence (AI) are introduced every day. With such fast-paced …

Explainable artificial intelligence envisioned security mechanism for cyber threat hunting

P Kumar, M Wazid, DP Singh, J Singh… - Security and …, 2023 - Wiley Online Library
Cyber threat hunting proactively searches for cyber threats, which are undetected by the
traditional defense mechanisms. It scans deep to identify malicious programs (ie, malware) …

QoS-Based Secure Data Communication for Software-Defined Autonomous Vehicles Using Blockchain

D Garg, RS Bali - Journal of Applied Security Research, 2024 - Taylor & Francis
Data security in autonomous vehicles is of primary importance due to the possibility of
cyberattacks on these interconnected and complex systems. As these vehicles are equipped …

Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

M Mersha, K Lam, J Wood, A AlShami, J Kalita - Neurocomputing, 2024 - Elsevier
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …