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Vision-Less Sensing for Autonomous Micro-Drones.

Simon Pikalov1, Elisha Azaria1, Shaya Sonnenberg1

  • 1Computer Science Department, Ariel University, Ariel 40700, Israel.

Sensors (Basel, Switzerland)
|August 28, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces the Blind Autonomous Tiny-drone (BAT), a camera-less micro-drone inspired by flying animals. The BAT navigates and maps complex environments autonomously using LIDAR and optical flow, even in complete darkness.

Keywords:
autonomous micro-dronesbio-inspired micro-roboticsindoor mappingsensor fusion

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Area of Science:

  • Robotics
  • Bio-inspired engineering
  • Autonomous systems

Background:

  • Traditional drones rely heavily on visual sensors (cameras) for navigation and mapping.
  • Complex environments and low-light conditions pose significant challenges for vision-based systems.
  • Bio-inspiration offers novel approaches to sensor fusion and autonomous navigation.

Purpose of the Study:

  • To present a concept for intelligent, vision-less micro-drones.
  • To develop a micro-drone capable of complex tasks without cameras.
  • To enable autonomous exploration and mapping in challenging environments.

Main Methods:

  • Utilized Light Detection and Ranging (LIDAR) sensors for environmental perception.
  • Implemented self-emitted optical flow for navigation and obstacle avoidance.
  • Developed bio-inspired control algorithms executed on an onboard microcontroller for full autonomy.
  • Integrated sensor data for generating detailed environment maps.

Main Results:

  • The Blind Autonomous Tiny-drone (BAT) successfully performed obstacle avoidance and maze-solving tasks.
  • The BAT demonstrated autonomous exploration and mapping of complex indoor environments.
  • Successful operation was validated in both simulation and real-world field experiments, including total darkness.

Conclusions:

  • Vision-less micro-drones are feasible for autonomous navigation and mapping.
  • Bio-inspired sensor fusion (LIDAR and optical flow) provides a robust alternative to camera-based systems.
  • The BAT concept offers a promising solution for drone operation in environments where vision is limited or impossible.