Noor Cholis Basjaruddin, Edi Rakhman and Fazrin Adinugraha
Safety is one of the most crucial factors in transportation due to so many factors, including human-error, that might result in various small to fatal accidents. This is why lane…
Abstract
Purpose
Safety is one of the most crucial factors in transportation due to so many factors, including human-error, that might result in various small to fatal accidents. This is why lane keeping assist (LKA) is an important system that needs to be developed. LKA will prevent the vehicle from moving to another lane because the driver is negligent to maintain the direction of the vehicle.
Design/methodology/approach
In this study, LKA works using camera and ultrasonic sensors. The data coming from these two types of sensors are then fused to determine how should the car reacts to some certain situation so that it stays on the lane. The sensor fusion method was used to further ensure the car's safety.
Findings
The results of the hardware simulation show that LKA can successfully avoid the car from getting off the lane with safety index of 95% for high-speed mode and 100% for medium and low-speed mode; meanwhile on the use of ultrasonic sensor, the speed of the car is adjusted to the distance of the car's side disturbance.
Originality/value
This research has succeeded in simulating a sensor fusion–based LKA system.
Details
Keywords
Despite a plethora of research on diversity and inclusion, workplace-related issues pertaining to individuals with schizophrenia (SCZ) remain grossly underexplored. This paper…
Abstract
Purpose
Despite a plethora of research on diversity and inclusion, workplace-related issues pertaining to individuals with schizophrenia (SCZ) remain grossly underexplored. This paper seeks to develop a relational, multilevel perspective of issues and challenges faced by individuals with SCZ in the work and career.
Design/methodology/approach
The research draws on the findings from in-depth, qualitative interviews with schizophrenic individuals, individuals’ family members, healthcare professionals and nongovernmental organization (NGO) representatives.
Findings
The findings highlight the interconnected nature of multilevel issues faced by schizophrenic individuals and indicate that at the societal level, social stigma, economic conditions and inadequate government policies are the key challenges faced by them. At the organizational level workplace support and job suitability and design affect individuals’ employment. At the individual level, self-stigma affects the employability in a negative way whereas personal motivation and resilience, family and social support and realization of illness are the facilitating factors.
Originality/value
The study adds to disability and diversity literature by developing a relational perspective that holistically captures the issues faced by schizophrenic individuals and suggests that the work and employment-related issues may be simultaneously addressed at multiple levels.