Integrated guidance navigation and control for a fully autonomous indoor UAS

Girish Chowdhary, D. Michael Sobers, Chintasid Pravitra, Claus Christmann, Allen Wu, Hiroyuki Hashimoto, Chester Ong, Roshan Kalghatgi, Eric N. Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the details of a Quadrotor miniature unmanned aerial system capable of autonomously exploring cluttered indoor areas without relying on any external navigational aids such as GPS. A streamlined Simultaneous Localization and Mapping (SLAM) algorithm is implemented onboard the vehicle to fuse information from a scanning laser range sensor, an inertial measurement unit, and an altitude sonar to provide relative position, velocity, and attitude information. This state information, with a self-generated map, is used to implement a frontier-based exhaustive search of an indoor environment. To ensure the SLAM algorithm has sufficient information to form a reliable solution, the guidance algorithm ensures the vehicle approaches frontier waypoints through a path that remains within sensor range of indoor structures. Along with a detailed description of the system, simulation and hardware testing results are presented.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference 2011
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781600869525
DOIs
StatePublished - 2011
Externally publishedYes
EventAIAA Guidance, Navigation and Control Conference 2011 - Portland, OR, United States
Duration: Aug 8 2011Aug 11 2011

Publication series

NameAIAA Guidance, Navigation, and Control Conference 2011

Conference

ConferenceAIAA Guidance, Navigation and Control Conference 2011
Country/TerritoryUnited States
CityPortland, OR
Period8/8/118/11/11

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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