Stochastic Modeling of a Time of Flight Sensor to Be Applied in a Mobile Robotics Application

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Brancaliao, L (Author) Other; Conde, MA (Author) Other; Paulo Gomes da Costa (Author) FEUP; Goncalves, J (Author) Other

Conference proceedings International

Title: CONTROLO 2022

Pages: 621-632

15th APCA International Conference on Automatic Control and Soft Computing (CONTROLO)

Caparica, PORTUGAL, JUL 06-08, 2022

Indexing

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Other information

Authenticus ID: P-00W-SQ8

DOI: 10.1007/978-3-031-10047-5_55

Abstract (EN): In this paper it is presented the stochastic modeling of a time of flight sensor, to be applied in a mobile robotics application. The sensor was configured to provide data at a frequency 30 Hz, obtaining a tradeoff between reactiveness and accuracy. The sensor data was acquired using a microcontroller development board, being the sensor moved with a manipulator, in order to assure repeatability and accuracy in the data acquisition process. The sensor was modeled having in mind the targets color, ranging from black to white for the working range, its variance, standard deviation, offset, means and errors measures were estimated.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12