A survey of real-time ethernet modeling and design methodologies: From AVB to TSN

L Deng, G Xie, H Liu, Y Han, R Li, K Li - ACM Computing Surveys (CSUR …, 2022 - dl.acm.org
With the development of real-time critical systems, the ever-increasing communication data
traffic puts forward high-bandwidth and low-delay requirements for communication networks …

[HTML][HTML] 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 …

Designing inclusive interaction with autonomous vehicles for older passengers

AZ Asha, E Sharlin - Proceedings of the 2023 ACM Designing …, 2023 - dl.acm.org
With the introduction of autonomous vehicles (AVs) in real-world traffic, there are several
human-computer interactions (HCI) challenges—especially how a passenger might interact …

[HTML][HTML] Obscurant Segmentation in Long Wave Infrared Images Using GLCM Textures

M Abuhussein, A Robinson - Journal of Imaging, 2022 - mdpi.com
The benefits of autonomous image segmentation are readily apparent in many applications
and garners interest from stakeholders in many fields. The wide range of benefits …

A self-powered and self-sensing driver behavior detection system for smart transportation

J Chen, L Kong, Z Fang, R Zou, J Wu, H Tang, Z Zhang - Nano Energy, 2024 - Elsevier
With the increasing significance of smart transportation in China, there is a growing interest
in the urbanization process to ensure its safe operation. This study introduces a driver …

[HTML][HTML] Older adult willingness to use fully autonomous vehicle (FAV) ride sharing

AL Siegfried, A Bayne, LF Beck, K Freund - Geriatrics, 2021 - mdpi.com
In the United States, older adults (age 65 and older) rely on private automobiles for
transportation. For those who stop driving, access to alternative modes of transportation is …

Multimodal machine learning for pedestrian detection

M Aledhari, R Razzak, RM Parizi… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
Designing and developing autonomous vehicles that are capable of moving safely on roads
by sensing the environment has motivated researchers to focus on pedestrian detection …

[PDF][PDF] Comparative study of optimization algorithms on convolutional network for autonomous driving

F Martinez, H Montiel, F Martinez - International Journal of Electrical …, 2022 - academia.edu
The last 10 years have been the decade of autonomous vehicles. Advances in intelligent
sensors and control schemes have shown the possibility of real applications. Deep learning …

[HTML][HTML] StairWave Transformer: For Fast Utilization of Recognition Function in Various Unmanned Vehicles

D Choi, C Lee, J Baek, S Do, S Jun, K Kim, Y Ha - Machines, 2023 - mdpi.com
Newly introduced vehicles come with various added functions, each time utilizing data from
different sensors. One prominent related function is autonomous driving, which is performed …

A Survey on Fog computing in IoT

MA Rasheed, J Saleem, H Murtaza… - VFAST Transactions on …, 2021 - vfast.org
Technological advancements in computing and wireless handheld devices have increased
tremendously the rate of connected devices to the internet. To solve problems of our daily …