Miniature Mobile Robot Detection using an Ultra-Low Resolution Time-of-Flight Sensor Dataset

Citation Author(s):
Jan
Pleterski
University of Ljubljana Faculty of Mechanical Engineering
Gašper
Škulj
University of Ljubljana Faculty of Mechanical Engineering
Corentin
Esnault
Brest National School of Engineering
Jernej
Puc
University of Ljubljana Faculty of Mechanical Engineering
Rok
Vrabič
University of Ljubljana Faculty of Mechanical Engineering
Primož
Podržaj
University of Ljubljana Faculty of Mechanical Engineering
Submitted by:
Jan Pleterski
Last updated:
Tue, 01/16/2024 - 07:57
DOI:
10.21227/28ha-8921
Data Format:
*.csv
Research Article Link:
Miniature Mobile Robot Detection Using an Ultralow-Resolution Time-of-Flight Sensor
License:
Creative Commons Attribution
641 Views
Categories:
Computer Vision
Keywords:
miniature robot, Time-of-Flight, convolutional neural network, binary classification, ultra-low resolution, Low Power, TinyML, microcontroller
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Abstract 

Miniature mobile robots in multi-robotic systems require robust environmental perception for successful navigation, especially when operating in real-world environments. One of the sensors that have recently become accessible for miniature mobile robots due to their size and cost-effectiveness is a multi-zone time-of-flight (ToF) sensor. The object of classification in the dataset is a miniature mobile robot on a sand-like terrain with rocks. The dataset was acquired with the ST VL53L5CX ToF sensor.

Funding Agency: 
Slovenian Research Agency ARRS
Grant Number: 
P2-0270

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Submitted by Jose Cano Reyes on Thu, 06/01/2023 - 07:55

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