Ishino, Tomohiro Tokushima University
HOG feature value
This paper presents the development of safety driving support system using 3 onboard cameras. One camera monitors the driver to determine the driver ’s current gaze and the other is a front camera that detects pedestrians, running lane and vehicles in front. The rear camera detects pedestrians and approaching vehicles. The pedestrians and vehicles are detected using a specially trained HOG/Adaboost system. Lane detections uses edge detection and RANSAC. Information from the 3 cameras is then used to determine whether a situation is dangerous enough to warrant warning the driver. We have conducted experiments and the results confirm that this system has the potential to support automatic driving.
Journal of the Institute of Industrial Applications Engineers
The Institute of Industrial Applications Engineers
© 2018 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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