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 …

Software verification and validation of safe autonomous cars: A systematic literature review

N Rajabli, F Flammini, R Nardone, V Vittorini - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

Artificial intelligence applications in the development of autonomous vehicles: A survey

Y Ma, Z Wang, H Yang, L Yang - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The advancement of artificial intelligence (AI) has truly stimulated the development and
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …

Machine learning activation energies of chemical reactions

T Lewis‐Atwell, PA Townsend… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
Application of machine learning (ML) to the prediction of reaction activation barriers is a new
and exciting field for these algorithms. The works covered here are specifically those in …

[PDF][PDF] 基于场景的自动驾驶汽车虚拟测试研究进展

朱冰, 张培兴, 赵健, 陈虹, 徐志刚, 赵祥模… - 中国公路学报, 2019 - researchgate.net
随着自动驾驶等级的提高, 面向传统汽车的测试工具与测试方法已不能满足自动驾驶汽车测试的
需要. 基于场景的虚拟测试方法在测试效率, 测试成本等方面具有巨大的技术优势 …

[HTML][HTML] Optimizing IC engine efficiency: a comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning

MEM Soudagar, S Shelare, D Marghade… - Energy Conversion and …, 2024 - Elsevier
Transportation and power generation have historically relied upon Internal Combustion
Engines (ICEs). However, because of environmental impact and inefficiency, considerable …

State of the art of automated buses

J Ainsalu, V Arffman, M Bellone, M Ellner, T Haapamäki… - Sustainability, 2018 - mdpi.com
Urban transportation in the next few decades will shift worldwide toward electrification and
automation, with the final aim of increasing energy efficiency and safety for passengers …

Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey

A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …

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

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 …

Applications of machine learning and artificial intelligence in intelligent transportation system: A review

D Gangwani, P Gangwani - … of Artificial Intelligence and Machine Learning …, 2021 - Springer
Due to the tremendous population growth in the country, the use of vehicles and other
transportation means has increased which has led to traffic congestion and road accidents …