Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
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 …
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 …
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 …
significant enhancements in road safety and efficiency. However, the susceptibility of …
[HTML][HTML] Machine learning meets advanced robotic manipulation
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 …
utilization of human resources. Robotic manipulator arms have major role in the automation …
A sustainable ecology of mobility: DAO-based autonomous vehicular services
As a brief summary of the Distributed/Decentralized Hybrid Workshop on sustainable
vehicular service ecology, this letter discusses the challenges of autonomous vehicular …
vehicular service ecology, this letter discusses the challenges of autonomous vehicular …
Anomaly diagnosis of connected autonomous vehicles: A survey
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …
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 …
Learning (ML) and Artificial Intelligence (AI) are introduced every day. With such fast-paced …
Explainable artificial intelligence envisioned security mechanism for cyber threat hunting
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) …
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 …
cyberattacks on these interconnected and complex systems. As these vehicles are equipped …
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …