Development of a low-cost Collision Avoidance System based on Coulomb’s inverse-square law for Multi-rotor Drones (UAVs)

Abhishek Singh, A. Payal
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Abstract

A low-cost Obstacle Detection and Collision Avoidance (ODCA) System stimulated from Coulomb’s inverse-square law has been proposed, deployed, and tested on self-assembled multi-rotor system. The algorithm is focused to be inexpensive in terms of spacio-temporal complexities, cross platform, and able to run on low-cost, easily available hardware. It aims at protecting the drone from entering a complex situation in manual and autonomous flight modes. The ODCA system hardware design is focused to be easily integrable with various flight controllers. The hardware and communication interfacing among various modules required by the ODCA system have been briefly explained. Since, proposed ODCA system is tested on self-assembled drone, a small description about drone hardware, assembly, and communication mechanism is also provided. Furthermore, the ODCA system algorithm that processes sensor data in various stages and culminated actions are explained. Finally, the system is tested and evaluated in multi-obstacle scenario through hardware in the loop (HIL) simulation and their findings are shown.
基于库仑平方反比律的多旋翼无人机低成本避碰系统研制
提出了一种基于库伦反平方律的低成本障碍物检测与避碰(ODCA)系统,并在自组装多旋翼系统上进行了部署和测试。该算法的重点是在时空复杂性方面不昂贵,跨平台,并且能够在低成本,易于获得的硬件上运行。其目的是防止无人机在手动和自主飞行模式下进入复杂情况。ODCA系统硬件设计的重点是易于与各种飞行控制器集成。简要说明了ODCA系统所需的硬件和各模块之间的通信接口。由于所提出的ODCA系统在自组装无人机上进行了测试,因此对无人机的硬件、组装和通信机制也进行了简短的描述。此外,还解释了ODCA系统在各个阶段处理传感器数据的算法和最终动作。最后,通过硬件在环仿真(HIL)对系统进行了多障碍场景的测试和评估,并给出了测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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