Vision-Less Sensing for Autonomous Micro-Drones

This work presents a concept of intelligent vision-less micro-drones, which are motivated by flying animals such as insects, birds, and bats. The presented micro-drone (named BAT: Blind Autonomous Tiny-drone) can perform bio-inspired complex tasks without the use of cameras. The BAT uses LIDARs and...

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Main Authors: Simon Pikalov, Elisha Azaria, Shaya Sonnenberg, Boaz Ben-Moshe, Amos Azaria
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/16/5293
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author Simon Pikalov
Elisha Azaria
Shaya Sonnenberg
Boaz Ben-Moshe
Amos Azaria
author_facet Simon Pikalov
Elisha Azaria
Shaya Sonnenberg
Boaz Ben-Moshe
Amos Azaria
author_sort Simon Pikalov
collection DOAJ
description This work presents a concept of intelligent vision-less micro-drones, which are motivated by flying animals such as insects, birds, and bats. The presented micro-drone (named BAT: Blind Autonomous Tiny-drone) can perform bio-inspired complex tasks without the use of cameras. The BAT uses LIDARs and self-emitted optical-flow in order to perform obstacle avoiding and maze-solving. The controlling algorithms were implemented on an onboard micro-controller, allowing the BAT to be fully autonomous. We further present a method for using the information collected by the drone to generate a detailed mapping of the environment. A complete model of the BAT was implemented and tested using several scenarios both in simulation and field experiments, in which it was able to explore and map complex building autonomously even in total darkness.
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spelling doaj.art-8bdb8d2339f04aab96830a5ca37e21342023-11-22T09:37:20ZengMDPI AGSensors1424-82202021-08-012116529310.3390/s21165293Vision-Less Sensing for Autonomous Micro-DronesSimon Pikalov0Elisha Azaria1Shaya Sonnenberg2Boaz Ben-Moshe3Amos Azaria4Computer Science Department, Ariel University, Ariel 40700, IsraelComputer Science Department, Ariel University, Ariel 40700, IsraelComputer Science Department, Ariel University, Ariel 40700, IsraelComputer Science Department, Ariel University, Ariel 40700, IsraelComputer Science Department, Ariel University, Ariel 40700, IsraelThis work presents a concept of intelligent vision-less micro-drones, which are motivated by flying animals such as insects, birds, and bats. The presented micro-drone (named BAT: Blind Autonomous Tiny-drone) can perform bio-inspired complex tasks without the use of cameras. The BAT uses LIDARs and self-emitted optical-flow in order to perform obstacle avoiding and maze-solving. The controlling algorithms were implemented on an onboard micro-controller, allowing the BAT to be fully autonomous. We further present a method for using the information collected by the drone to generate a detailed mapping of the environment. A complete model of the BAT was implemented and tested using several scenarios both in simulation and field experiments, in which it was able to explore and map complex building autonomously even in total darkness.https://www.mdpi.com/1424-8220/21/16/5293autonomous micro-dronessensor fusionindoor mappingbio-inspired micro-robotics
spellingShingle Simon Pikalov
Elisha Azaria
Shaya Sonnenberg
Boaz Ben-Moshe
Amos Azaria
Vision-Less Sensing for Autonomous Micro-Drones
Sensors
autonomous micro-drones
sensor fusion
indoor mapping
bio-inspired micro-robotics
title Vision-Less Sensing for Autonomous Micro-Drones
title_full Vision-Less Sensing for Autonomous Micro-Drones
title_fullStr Vision-Less Sensing for Autonomous Micro-Drones
title_full_unstemmed Vision-Less Sensing for Autonomous Micro-Drones
title_short Vision-Less Sensing for Autonomous Micro-Drones
title_sort vision less sensing for autonomous micro drones
topic autonomous micro-drones
sensor fusion
indoor mapping
bio-inspired micro-robotics
url https://www.mdpi.com/1424-8220/21/16/5293
work_keys_str_mv AT simonpikalov visionlesssensingforautonomousmicrodrones
AT elishaazaria visionlesssensingforautonomousmicrodrones
AT shayasonnenberg visionlesssensingforautonomousmicrodrones
AT boazbenmoshe visionlesssensingforautonomousmicrodrones
AT amosazaria visionlesssensingforautonomousmicrodrones