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The Integration of a Multimodal MAV and Biomimetic Sensing for Autonomous Flights in Near-Earth Environments

  • W. Green
  • P. Y. Oh
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 33)

Abstract

Homeland security and disaster mitigation efforts are often taken place in unforeseen environments that include caves, tunnels, forests, cities, and even inside urban structures. Performing various tasks such as surveillance, reconnaissance, bomb damage assessment or search and rescue within an unfamiliar territory is not only dangerous but it also requires a large, diverse task force. Unmanned robotic vehicles could assist in such missions by providing situational awareness without risking the lives of soldiers, first responders, or other personnel. While ground-based robots have had many successes in search and rescue situations [6], they move slowly, have trouble traversing rugged terrain, and can still put the operator at risk. Alternatively, small unmanned aerial vehicles (UAVs) can provide soldiers and emergency response personnel with an “eye in the sky” perspective. On an even smaller scale, tiny bird-sized aircraft or micro air vehicles (MAVs) can be designed to fit in a backpack and can be rapidly deployed to provide surveillance and reconnaissance in and around buildings, caves, tunnels and other near-Earth environments. Navigating in these environments, however, remains a challenging problem for UAVs. In [7], promising results are shown for a rotorcraft equipped with a SICK laser scanner. However, because lift decreases with platform size, carrying this type of sensor on a MAV is not feasible.

Keywords

Optic Flow Inertial Measurement Unit Body Frame Flight Mode Optic Flow Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer. Printed in the Netherlands 2007

Authors and Affiliations

  • W. Green
  • P. Y. Oh
    • 1
  1. 1.Drexel Autonomous Systems Laboratory Department of Mechanical EngineeringDrexel UniversityPhiladelphiaUSA

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