Occupant Age Impacted Health Diagnosis for Integrated Safety Systems

2022-01-0840

03/29/2022

Event
WCX SAE World Congress Experience
Authors Abstract
Content
Autonomous Driving is the next big thing in the Automotive future. With growing automation, there is also growing need for In-cabin and Occupant monitoring. Impaired driving as a cause constitute a statistically major portion of the total accidents in the world. Additionally, the aging society of road users add to health concerns of possible drivers behind the wheel which might lead to severe accidents. Since the accident and the associated damage would have been occurred due to incapacitated drivers in the first place, there arises a need to know the state of drivers while driving to ensure the safety of him and other road users. Therefore, the monitoring of the driver's state and detection of any deviation from the suitable driving condition is significant to reduce the number of accidents on the road. One of the efficient ways to know the drivers’ state is to monitor the health - physical, mental and emotional, of the drivers essentially. Understanding the impact of age and health helps prognosis of medical conditions that could impair the driving of the driver and endanger the safety of vehicle and its occupants. This paper details the relevance of occupant age detection, health monitoring and diagnosis of medical ailments for prior preparation and activation of active and passive safety systems to avoid impaired driving caused accidents on road. Occupant State Monitoring and Integrated Safety solutions together takes the automotive industry one step closer to achieve the objectives of Vision Zero.
Meta TagsDetails
DOI
https://doi.org/10.4271/2022-01-0840
Pages
9
Citation
Damodharan, S., Muralidharan, V., Muralidharan, V., Srinivasa, P. et al., "Occupant Age Impacted Health Diagnosis for Integrated Safety Systems," SAE Technical Paper 2022-01-0840, 2022, https://doi.org/10.4271/2022-01-0840.
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0840
Content Type
Technical Paper
Language
English