A Study on the Traffic Light Identification and Guidance System for the Elderly Drivers

Roslan, Zhafri Hariz; Cho, Myeon-Gyun

doi:10.1109/icufn.2018.8436690

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Some of the applications of these technologies are fall detection, localization, and health status monitoring. The role of smart lighting is to make life easier for the elderly whose movement is increasingly limited [315]. Several environmental sensors play a role in this aspect, including magnetic switches, PIR sensors, and floor sensors [316].…”

Section: ) Elderly Managementmentioning

confidence: 99%

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

et al. 2022

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Smart lighting has become a universal smart product solution, with global revenues of up to US$5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) lighting, sensors, control, analytics, and intelligence. The Internet of things (IoT) concept with the end device, platform, and application layer plays an essential role in optimizing the advantages of LED lighting in the emergence of smart lighting. The ultimate aim of smart lighting research is to introduce low energy efficiency and high user comfort, where the latter is still in the infancy stage. This paper presents a systematic literature review (SLR) from a bird's eye view covering full-length research topics on smart lighting, including issues, implementation targets, technological solutions, and prospects. In addition to that, this paper also provides a detailed and extensive overview of emerging machine learning techniques as a key solution to overcome complex problems in smart lighting. A comprehensive review of improving user comfort is also presented, such as the methodology and taxonomy of activity recognition as a promising solution and user comfort metrics, including light utilization ratio, unmet comfort ratio, light to comfort ratio, power reduction rate, flickering perception, Kruithof's comfort curve, correlated color temperature, and relative mean square error. Finally, we discuss in-depth open issues and future challenges in increasing user comfort in smart lighting using activity recognition.

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Section: ) Elderly Managementmentioning

confidence: 99%

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

et al. 2022

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“…The basic quantitative and qualitative criteria presented in Table 2 are used in lighting solutions analysis and design practice. Important elements of subjective evaluation in road lighting are visual guidance [31] and assessing the degree to which floodlighting rules of external objects have been met [32,33].…”

Section: Criteria Of Evaluating Luminous Environment and Energy Effic...mentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Pracki

Wiśniewski

Czyżewski

et al. 2020

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Lighting technologies developed significantly in the last decade. New LED light sources, dedicated luminaires and improved lighting control techniques gave rise to new possibilities in improving energy efficiency of lighting solutions. The article is an overview of interior, road and exterior architectural object lighting design strategies. It also presents design considerations that directly impact lighting conditions and energy efficiency. Practical examples of the application of basic design strategies, accompanied by the obtained energy results, are also depicted. Issues discussed in the article may be useful in researching and designing interior and road lighting, as well as f loodlighting. They can also be useful in planning and implementing strategies aimed at improving lighting conditions and energy efficiency of lighting solutions.

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A Study on the Obstacle Recognition for Autonomous Driving RC Car Using LiDAR and Thermal Infrared Camera

Cho

2019

2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)

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A Study on the Traffic Light Identification and Guidance System for the Elderly Drivers

Cited by 3 publications

References 7 publications

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

Bulletin of the Polish Academy of Sciences: Technical Sciences

A Study on the Obstacle Recognition for Autonomous Driving RC Car Using LiDAR and Thermal Infrared Camera

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