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http://dx.doi.org/10.6109/jkiice.2015.19.3.651

Effective Road Distance Estimation Using a Vehicle-attached Black Box Camera  

Kim, Jin-Soo (Department of Information and Communication Engineering, Hanbat National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.3, 2015 , pp. 651-658 More about this Journal
Abstract
Recently, lots of research works have been actively focused on the self-driving car. In order to implement the self-driving car, lots of fusion techniques should be merged and, specially, it is noted that a vehicle-attached camera can provide several useful functionalities such as traffic lights recognition, pedestrian detection, stop-line recognition including simple driving records. Accordingly, as one of the efficient tools for the self-driving car implementation, this paper proposes a mathematical model for estimating effectively the road distance with a vehicle-attached black box camera. The proposed model can be effectively used for estimating the road distance by using the height of black box camera or the widths of the referenced road line and the observed road line. Through several simulations, it is shown that the proposed model is effective in estimating the road distance.
Keywords
Self-driving; Black-box; Distance Estimation;
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