@inproceedings{42bab7db40be4ddc8c24edcd2f583146,
title = "A neural network based omni light sensor",
abstract = "The usage of optical distance-sensors is common in robotics research. These are usually based on photoresistors, photo-transistors or photo-diodes. This paper presents a novel design for a passive sensor configured as a 18 photo-resistors array. The device is designed to locate a light source in R3. In order to simplify the wiring task, we connect all photo-resistors to each other as the edges of an octahedron with an additional center node configuration. We then wire the peripheral pins to analog-digital-converters. The resulting resistance distribution is then analyzed using a dedicated neural network. We present the experimental process, its results and the sensor's accuracy.",
author = "Oded Medina and Roi Yozevitch",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE International Conference on Control and Automation, ICCA 2017 ; Conference date: 03-07-2017 Through 06-07-2017",
year = "2017",
month = aug,
day = "4",
doi = "10.1109/ICCA.2017.8003175",
language = "الإنجليزيّة",
series = "IEEE International Conference on Control and Automation, ICCA",
publisher = "IEEE Computer Society",
pages = "872--875",
booktitle = "2017 13th IEEE International Conference on Control and Automation, ICCA 2017",
address = "الولايات المتّحدة",
}