2013
DOI: 10.1002/rob.21455
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Dependable Low‐altitude Obstacle Avoidance for Robotic Helicopters Operating in Rural Areas

Abstract: This paper presents a system enabling robotic helicopters to fly safely without user interaction at low altitude over unknown terrain with static obstacles. The system includes a novel reactive behavior‐based method that guides rotorcraft reliably to specified locations in sparsely occupied environments. System dependability is, among other things, achieved by utilizing proven system components in a component‐based design and incorporating safety margins and safety modes. Obstacle and terrain detection is base… Show more

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Cited by 14 publications
(11 citation statements)
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“…Even with perfect localization information, (semi-)autonomous UAVs require the ability to perform obstacle detection and avoidance. This is a fertile research area in robotics, where vision-, sonar-, and laser-based methodologies are being improved (c.f., Jimenez and Naranjo, 2011;Merz and Kendoul, 2013;Apatean et al, 2013;Pestana et al, 2014;Park and Kim, 2014). Given the potential for UAV applications, it is not surprising that a recent market study by the Teal Group forecasted that UAV spending will more than double over the next decade, with cumulative worldwide expenditures exceeding $89 billion.…”
Section: Introductionmentioning
confidence: 98%
“…Even with perfect localization information, (semi-)autonomous UAVs require the ability to perform obstacle detection and avoidance. This is a fertile research area in robotics, where vision-, sonar-, and laser-based methodologies are being improved (c.f., Jimenez and Naranjo, 2011;Merz and Kendoul, 2013;Apatean et al, 2013;Pestana et al, 2014;Park and Kim, 2014). Given the potential for UAV applications, it is not surprising that a recent market study by the Teal Group forecasted that UAV spending will more than double over the next decade, with cumulative worldwide expenditures exceeding $89 billion.…”
Section: Introductionmentioning
confidence: 98%
“…Drones typically use GPS to determine their location, and are able to take advantage of DGPS [9] and localization techniques [10] to improve accuracy. Obstacles can be avoided through techniques such as LIDAR [11] and image processing [12]. Architectures and protocols have been developed that enable drones to form ad-hoc networks [13] and to wirelessly communicate with other entities [14].…”
Section: Introductionmentioning
confidence: 99%
“…Unlike the single‐scan method described in Section , this method and the potential method both depend upon the ability of the laser scanner to map points in three dimensions. Since the selected laser is fixed in the longitudinal plane, the guidance software adds a sinusoidal adjustment to the commanded heading causing the aircraft to “waggle” in flight 15° to either side with a period of 4 s, similar to the work shown in Merz and Kendoul (), truerp(s)=truerA+stl(s)nv(s)d, D=rBrA,t=truerBtruerAD,n=trueĩ3t‖‖trueĩ3t,d=t̃n, l(s)=l1sinsπD+l2sin2sπD+l3sin3sπD, v(s)=v1sinsπD+v2sin2sπD+v3sin3sπD.…”
Section: Guidance and Path Generationmentioning
confidence: 99%
“…Scherer, Singh, Chamberlain, & Elgersma () specifically used a custom three‐dimensional (3D) laser scanner to fly in an urban setting at speeds up to 10 m/s. Merz and Kendoul extensively tested the application of two‐state machine‐based avoidance strategies using small rotorcraft (Merz and Kendoul, ). NASA Ames Aeroflightdynamics Directorate and the University of Minnesota have utilized a Yamaha RMAX helicopter equipped with a rotating Sick LMS291‐S005 laser sensor as a testbed for 3D autonomous rotorcraft navigation in urban environments using both a fast A*‐based 3D route planner and a 3D route planner via terrain plane slicing of a 2D planner (Tsenkov et al., ).…”
Section: Introductionmentioning
confidence: 99%