Authors:
Alexander Smirnov
1
;
Nikolay Shilov
1
and
Oleg Gusikhin
2
Affiliations:
1
SPIIRAS and ITMO University, Russian Federation
;
2
Ford Motor Company, United States
Keyword(s):
Infomobility, Information Driver Support System, Proactive Collaborative Recommendation System, Service Fusion, Parking Assistance.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Transportation Technologies and Systems
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Robotics and Automation
;
Symbolic Systems
;
Vehicle Control Applications
Abstract:
Recent developments in the areas of decision support, data and decision mining, on-board infotainment systems have produced valuable results that can be used to support people in different aspects of their lives. Infomobile driver support is one of the possible applications of these, what can significant increase the quality of the user experience. The paper presents a developed approach and enabling technologies for implementation of an intelligent driver support system that takes advantages provided by such modern developing technologies as context-based collaborative recommendation systems, proactive information support, smart space, and V2V communication. The developed concept is illustrated via a parking assistance scenario.