Laser range-finder based obstacle avoidance for quadcopters

Stanislav Shougaev, Moshe Idan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In recent years, obstacle avoidance in unknown environments is an increasingly important component in the numerous autonomous vehicle applications. This paper presents a novel low-cost obstacle avoidance system for multi-rotor unmanned aerial vehicles. The proposed system employs several body-fixed laser range-finders as its primary sensors. A least squares linear regression is developed for measurement filtering and obstacle identification. The Batch Informed Trees algorithm is then utilized for trajectory planning. The feasibility and performance of the resulting system is evaluated using a numerical simulation. The simulation results clearly demonstrate the feasibility of the suggested obstacle avoidance approach as well as examine the effect of various design parameters on the system performance.

Original languageEnglish
Title of host publicationAIAA Scitech 2019 Forum
StatePublished - 2019
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: 7 Jan 201911 Jan 2019

Publication series

NameAIAA Scitech 2019 Forum


ConferenceAIAA Scitech Forum, 2019
Country/TerritoryUnited States
CitySan Diego

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering


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