A Rule Based Reasoning System for Initiating Passive ADAS Warnings Without Driving Distraction Through an Ontological Approach
Authors: Fan, B., Ma, J., Jiang, N., Dogan, H., Ali, R.
Journal: Proceedings 2018 IEEE International Conference on Systems Man and Cybernetics Smc 2018
Publication Date: 02/07/2018
Pages: 3511-3517
DOI: 10.1109/SMC.2018.00594
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.
https://eprints.bournemouth.ac.uk/32068/
Source: Scopus
A Rule Based Reasoning System For Initiating Passive ADAS Warnings Without Driving Distraction Through An Ontological Approach
Authors: Fan, B., Ma, J., Jiang, N., Dogan, H., Ali, R.
Journal: 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
Publication Date: 2018
Pages: 3511-3517
ISSN: 1062-922X
DOI: 10.1109/SMC.2018.00594
https://eprints.bournemouth.ac.uk/32068/
Source: Web of Science
A Rule Based Reasoning System for Initiating Passive ADAS Warnings Without Driving Distraction Through an Ontological Approach
Authors: Fan, B., Ma, J., Jiang, N., Dogan, H., Ali, R.
Conference: SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics
Dates: 07/10/2018
Publication Date: 16/01/2019
Pages: 3511-3517
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.
https://eprints.bournemouth.ac.uk/32068/
Source: Manual
Preferred by: Huseyin Dogan