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Autonomous Driving Safety Against Hazardous Drivers Advanced Driver Assistance System

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Bhowmick, Soumen, author.
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:
While a safe driving eco-system based on co-operation is being thought off as a possible solution to make Autonomous Driving (AD) a reality - it makes it mandatory to have every car equipped with Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication technology, depends upon every driver's proactiveness to understand their responsibility on the road when they are being warned to avoid certain maneuvers from these modules and also questions the existence of older cars on the road which are in good driving condition but it is not feasible enough or cost-effective to install V2V and V2I communication technology within. This paper provides a solution to help keep a balance within the autonomous safe driving environment where potential hazardous vehicles (e.g. manually driven cars without any V2V, V2I modules, cars with V2V, V2I modules being driven by drivers not sincere enough to follow warnings from these modules) can co-exist and the autonomous vehicles can be kept situation-ready for possible exceptions that can take place by the threat of the existence of a potential hazardous vehicle in proximity. The idea established by this paper uses the existing resources to remove certain infrastructure dependencies (related to V2V and V2I technology) of autonomous driving and addresses the concern of uncertain human behavior that can affect the safe driving eco-system. Tagging and sensing the existence of hazardous vehicles post which alerting drivers and the control models to reconsider autonomous maneuvers can reduce chances of fatality to a great extent
Notes:
Vendor supplied data
Publisher Number:
2021-26-0039
Access Restriction:
Restricted for use by site license

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