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http://dx.doi.org/10.7471/ikeee.2018.22.1.29

Design and Implementation of Mobile Crowdsourcing-based Driver Assistance Systems (MC-DAS)  

Jeong, Han-You (Dept. of Electrical and Computer Engineering, Pusan National University)
Publication Information
Journal of IKEEE / v.22, no.1, 2018 , pp. 29-37 More about this Journal
Abstract
In recent years, there have been increasing interests in the mobile crowdsourcing that exploits multiple sensors, communication and user interfaces, and the computation power of widespread smartphones. In this paper, we present a novel mobile crowdsourcing-based driver assistance systems (MC-DAS) that crowdsource the sensor data of smartphone app having already passed a road segment, generate its profile information through a massive data processing, and forward this profile to the smartphone app of vehicle entering the road segment. Based on the MC-DAS platform, we also design and implement a new navigation system that advices the vehicle speed depending on the speedbump and on the road curvature profile. We expect that the proposed MC-DAS platform will be used as a platform for emerging new mobile crowdsourcing applications.
Keywords
Intelligent transportation systems; driver assistance systems; mobile crowdsouring; navigation; speed advisory;
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