Laser-scanning rangefinder fixed on a gimbal with two degrees of freedom


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Abstract

A laser-scanning rangefinder mounted on a gimbal with two degrees of freedom is presented. The rangefinder can be used as part of a navigation system of an unmanned aerial vehicle to avoid obstacles or prevent collisions. Compared to stereo cameras, the device requires significantly less computing resources and is less dependent on lighting conditions. Compared to integrated lidars, the cost of the device is by an order lower. А model of the device was developed and an obstacle avoidance flight was simulated in the Gazebo simulator. The PX4/Avoidance software was used as an autopilot. As a result of a model experiment, we found that a scanning laser rangefinder can provide autonomous navigation with obstacle avoidance.

About the authors

V. A. Zelenskiy

Samara National Research University

Author for correspondence.
Email: vaz-3@yandex.ru

Doctor of Science (Engineering), Аssociate Professor, Professor of the Department of Design and Technology of Electronic Systems and Devices

Russian Federation

M. V. Kapalin

Samara National Research University

Email: no95typem@yandex.ru

Postgraduate Student of the Department of Design and Technology of Electronic Systems and Devices

Russian Federation

References

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  3. LeddarTech Vu 8 Channel Module, 99°/3° FOV, USB, CAN Bus, RS485 & UART – RobotShop. Available at: https://www.robotshop.com/en/leddartech-vu-8-channel-module-99-3-fov-usb-can-bus-rs485--uart.html
  4. LIDAR-Lite 3 Laser Rangefinder High Performance (LLV3HP) – RobotShop. Avail-able at: https://www.robotshop.com/en/lidar-lite-3-laser-rangefinder-high-performance-llv3hp.html
  5. Pixhawk. The hardware standard for open-source autopilots. Available at: https://pixhawk.org/
  6. Open Source Autopilot for Drones – PX4 Autopilot. Available at: https://px4.io/
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  8. ROS. Available at: https://www.ros.org/
  9. Gazebo. Available at: http://gazebosim.org/
  10. Baumann T. Obstacle Avoidance for Drones Using a 3DVFH* Algorithm. Master Thesis. Zurich, 2018. 67 p.

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