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Lenni Yulianti
Institut Teknologi Bandung
Computer Science & IT Electrical & Electronics Engineering

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Object Distance Measurement System Using Monocular Camera on Vehicle Fussy Mentari Dirgantara; Arief Syaichu-Rohman; Lenni Yulianti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1953

Abstract

To support autonomous vehicles that are currently often studied by various parties, the authors propose to make a system of predicting the distance of objects using monocular cameras on vehicles. Distance prediction uses four methods and the input parameter was obtained from images processed with MobileNets SSD. Calculations using linear regression are the simplest calculations among the four methods but have an error of 1% with a standard deviation of 1.65 meters. While using the first method, the average error value is 9% with a standard deviation of 0.43 meters. By using the second calculation, the average error resulted in 6% with a standard deviation of 0.35 meters. The experimental method had an average error of 1% with a standard deviation of 0.26 meters, so the experimental method was used.
Co-Authors Arief Syaichu-Rohman Fussy Mentari Dirgantara