Data fusion for ITS: A systematic literature review

C Ounoughi, SB Yahia - Information Fusion, 2023 - Elsevier
In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

A taxonomy of vulnerable road users for hci based on a systematic literature review

K Holländer, M Colley, E Rukzio, A Butz - … of the 2021 CHI conference on …, 2021 - dl.acm.org
Recent automotive research often focuses on automated driving, including the interaction
between automated vehicles (AVs) and so-called “vulnerable road users”(VRUs). While …

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 …

A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning

X Di, R Shi - Transportation research part C: emerging technologies, 2021 - Elsevier
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

Pedestrian support in intelligent transportation systems: challenges, solutions and open issues

S El Hamdani, N Benamar, M Younis - Transportation research part C …, 2020 - Elsevier
The increased urbanization and the drive for realizing smart cities have motivated extensive
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …

Deep learning based wearable assistive system for visually impaired people

Y Lin, K Wang, W Yi, S Lian - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
In this paper, we propose a deep learning based assistive system to improve the
environment perception experience of visually impaired (VI). The system is composed of a …

[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety

SA Yusuf, A Khan, R Souissi - Transportation Research Interdisciplinary …, 2024 - Elsevier
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

Safe and energy-saving vehicle-following driving decision-making framework of autonomous vehicles

Y Zhang, T You, J Chen, C Du, Z Ai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The safety and energy efficiency of autonomous vehicles in the vehicle-following driving
scenario is seriously affected by the decision-making framework. This article proposes a …

Development and trends of chicken farming robots in chicken farming tasks: A review

D Yang, D Cui, Y Ying - Computers and Electronics in Agriculture, 2024 - Elsevier
Chicken farming plays a crucial role in the chicken industry. As the market demand for
chicken products continues to grow, chicken farming is expanding on a larger scale to meet …

Industrial IoT for intelligent steelmaking with converter mouth flame spectrum information processed by deep learning

Y Han, CJ Zhang, L Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, based on the fact that the converter mouth flame is the comprehensive external
appearance of the physical and chemical reactions in the converter during the steelmaking …