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Rider State Monitoring for Attentiveness Detection for Enhanced Two-wheeler Safety Continental Automotive Components, India

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
UdayaShankar, Ashrith, author.
Contributor:
Aravind, V.
Damodharan, Suchitra
Gopinath, Anjana
Notani, Vipul
Rao, Aditya
Y P, Nithin
Conference Name:
Symposium on International Automotive Technology (2021-09-29 : Pune, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
Statistics report that one death occurs on Indian roads every three and a half minutes. With discussions on regulating new safety technologies like ABS, ESC, Advanced Rider Assistance Systems (ARAS) et cetera for two-wheelers in India, the automotive industry has been grappling with challenges, in terms of developing cost-effective and innovative solutions adapted to regional market and its customers. Also, regulations that mandate the use of rider assistive technologies not only present opportunities to improve road safety, but also challenges for safe adoption and implementation. Distracted and inattentive riding is one of the major causes for severe road accidents in two-wheeler segments . The causes of distraction can be many - but the foremost one - as indicated by the accident data analysis - is the distraction due to mobile phones. Additionally, distracted riding might interfere with safe activation of ARAS functionalities that feature highly dynamic interventions, as the rider is unprepared for the motorcycle to take control. Thus, the system needs to detect the rider state of awareness to ensure minimum collateral impact over the rider. In this paper, we propose a solution to detect distracted riding in two-wheelers to minimize potential accidents and also, to improve effectiveness of ARAS functionalities for prevention of an inevitable accident. With a rider state monitoring unit, this system widens its applicability to even more dynamic scenarios, supported by the knowledge about the rider's posture and position
Notes:
Vendor supplied data
Publisher Number:
2021-26-0023
Access Restriction:
Restricted for use by site license

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