A Rule Based Reasoning System for Initiating Passive ADAS Warnings Without Driving Distraction Through an Ontological Approach.

Fan, B., Ma, J., Jiang, N., Dogan, H. and Ali, R., 2019. A Rule Based Reasoning System for Initiating Passive ADAS Warnings Without Driving Distraction Through an Ontological Approach. In: SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics, 7-10 October 2018, Miyazaki, Japan, 3511 - 3517.

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Abstract

ADAS (Advanced Driver Assistance Systems) are in-vehicle systems designed to enhance driving safety and comfort. Unlike active ADAS which provide direct intervention to avoid accidents, passive ADAS increase driver's awareness of hazardous situations by giving warnings in advance. It has been noted that these systems can cause distraction when the relevant HMIs (Human-Machine Interfaces) are poorly designed. Current research is limited to address this problem in specific settings which may not be applicable in wider context. This papers aims to provide a universal rule-based solution to allow passive ADAS to initiate warnings without triggering driver distraction through an ontological approach.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Advanced driver assistance system; driver distraction; Human-machine interface; Ontology
Group:Faculty of Science & Technology
ID Code:32068
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:19 Mar 2019 11:33
Last Modified:19 Mar 2019 11:33

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