Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research

A Zahlan, RP Ranjan, D Hayes - Technology in society, 2023 - Elsevier
Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

[HTML][HTML] Safe driving distance and speed for collision avoidance in connected vehicles

SA Elsagheer Mohamed, KA Alshalfan, MA Al-Hagery… - Sensors, 2022 - mdpi.com
Vehicle tailgating or simply tailgating is a hazardous driving habit. Tailgating occurs when a
vehicle moves very close behind another one while not leaving adequate separation …

Critical voxel learning with vision transformer and derivation of logical AV safety assessment scenarios

M Kang, J Seo, K Hwang, Y Yoon - Accident Analysis & Prevention, 2024 - Elsevier
Safety assessment is an active research subject for autonomous vehicles (AVs) that have
emerged as a new mode of mobility. In particular, scenario-based safety assessments have …

Research on path planning algorithm of driverless ferry vehicles combining improved A* and DWA

Z Wang, G Li - Sensors, 2024 - mdpi.com
In view of the fact that the global planning algorithm cannot avoid unknown dynamic and
static obstacles and the local planning algorithm easily falls into local optimization in large …

[HTML][HTML] Collision Avoidance Path Planning for Automated Vehicles Using Prediction Information and Artificial Potential Field

S Ahn, T Oh, J Yoo - Sensors (Basel, Switzerland), 2024 - pmc.ncbi.nlm.nih.gov
With the advancement of autonomous driving systems, the need for effective emergency
avoidance path planning has become increasingly important. To enhance safety, the …

Reinforcement learning-based control of signalized intersections having platoons

A Berbar, A Gastli, N Meskin, MA Al-Hitmi… - IEEE …, 2022 - ieeexplore.ieee.org
Smart transportation cities are based on intelligent systems and data sharing, whereas
human drivers generally have limited capabilities and imperfect traffic observations. The …

SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing

K Wang, H **ong, J Zhang, H Chen… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The operation and management of intelligent transportation systems (ITS), such as traffic
monitoring, relies on real-time data aggregation of vehicular traffic information, including …

Dynamic local path planning for intelligent vehicles based on sampling area point discrete and quadratic programming

H Jiang, J Pi, A Li, C Yin - IEEE Access, 2022 - ieeexplore.ieee.org
This paper proposes a dynamic path planning method based on discrete optimization
applied to suburban highways or expressways. We optimize the generated candidate points …

A reinforcement learning based decision-making system with aggressive driving behavior consideration for autonomous vehicles

L Kang, H Shen - 2021 18th Annual IEEE International …, 2021 - ieeexplore.ieee.org
With the fast development of autonomous vehicle (AV) technology and possible popularity of
AVs in the near future, a mixed-vehicle type driving environment where both AVs and their …

RSS model improvement considering road conditions for the application of a variable focus function camera

MJ Kim, YM Kim - Sensors, 2023 - mdpi.com
The automobile industry has developed dramatically in recent years, the supply of vehicles
has also increased, and thus it has become deeply established in everyday life. Recently, as …