By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Current study results on Robotics have been published. According to news reporting out of Denver, Colorado, by VerticalNews editors, research stated, "The increased use of unmanned aerial vehicles (UAVs) is coincidentally accompanied by a notable lack of sensors suitable for enabling further improvement in levels of autonomy and, consequently, integration into the National Airspace System (NAS). The majority of available sensors suitable for UAV integration into the NAS are based on infrared detectors, focal plane arrays, optical and ultrasonic rangefinders, etc."
Our news journalists obtained a quote from the research from the University of Denver, "These sensors are generally not able to detect or identify other UAV-sized targets and, when detection is possible, considerable computational power is typically required for successful identification. Furthermore, the performance of visual-range optical sensor systems may suffer when operating under conditions that are typically encountered during search and rescue, surveillance, combat, and most other common UAV applications. However, the addition of a miniature RADAR sensor can, in consort with other sensors, provide comprehensive target detection and identification capabilities for UAVs. This trend is observed in manned aviation where RADAR sensors are the primary on-board detection and identification sensors. In this paper, a miniature, lightweight X-band RADAR sensor for use on a miniature (710-mm rotor diameter) rotorcraft is described. We present an analysis of the performance of the RADAR sensor in a realistic scenario with two UAVs. Additionally, an analysis of UAV navigation and collision avoidance behaviors is performed to determine the effect of integrating RADAR sensors into UAVs."
According to the news editors, the research concluded: "Further study is also performed to demonstrate the scalability of the RADAR for use with larger UAV classes."
For more information on this research see: UAV-borne X-band radar for collision avoidance. Robotica, 2014;32(1):97-114. Robotica can be contacted at: Cambridge Univ Press, 32 Avenue Of The Americas, New York, NY 10013-2473, USA. (Cambridge University Press - www.cambridge.org; Robotica - journals.cambridge.org/action/displayJournal?jid=ROB)
Our news journalists report that additional information may be obtained by contacting A. Moses, Univ Denver, Dept. of Comp Sci, Denver, CO 80208, United States. Additional authors for this research include M.J. Rutherford, M. Kontitsis and K.P. Valavanis.
Keywords for this news article include: Denver, Colorado, Robotics, United States, North and Central America
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