[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 …

Mind the gap: Developments in autonomous driving research and the sustainability challenge

L Mora, X Wu, A Panori - Journal of cleaner production, 2020 - Elsevier
Scientific knowledge on autonomous-driving technology is expanding at a faster-than-ever
pace. As a result, the likelihood of incurring information overload is particularly notable for …

Discovering latent topics and trends in autonomous vehicle-related research: A structural topic modelling approach

R Tamakloe, D Park - Transport policy, 2023 - Elsevier
Autonomous Vehicle (AV) technology is a disruptive transportation technology that promises
to revolutionize how people travel. Due to their potential mobility benefits and associated …

Deep Learning‐Based Big Data Analytics for Internet of Vehicles: Taxonomy, Challenges, and Research Directions

H Chiroma, SM Abdulhamid… - Mathematical …, 2021 - Wiley Online Library
The Internet of Vehicles (IoV) is a developing technology attracting attention from the
industry and the academia. Hundreds of millions of vehicles are projected to be connected …

[HTML][HTML] Artificial intelligence and software modeling approaches in autonomous vehicles for safety management: A systematic review

S Abbasi, AM Rahmani - Information, 2023 - mdpi.com
Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road
safety and mobility. However, designing AVs involves various critical aspects, such as …

Emerging trends in intelligent vehicles: The ieee tiv perspective

H Zhang, J Guo, G Luo, L Li, X Na… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article is focused on bibliographic analysis and collaboration pattern analysis of the text
papers published in the IEEE Transactions on Intelligent Vehicles (TIV) from January 2019 …

[HTML][HTML] Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain

A Biswas, HC Wang - Sensors, 2023 - mdpi.com
The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

[HTML][HTML] 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 …

Data fusion in autonomous vehicles research, literature tracing from imaginary idea to smart surrounding community

S AlZu'bi, Y Jararweh - … Conference on Fog and Mobile Edge …, 2020 - ieeexplore.ieee.org
Many significant challenges related to transportation systems have been raised recently,
these include the high accidents rate, road congestion, emission of gases, and environment …

Applications of deep learning in intelligent transportation systems

AK Haghighat, V Ravichandra-Mouli… - Journal of Big Data …, 2020 - Springer
Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …