Abstract
The work presents an environment awareness approach for a small rotorcraft unmanned aircraft (UA) which operates at low height using a single line laser scanner which enables a height estimation with a concurrent detection of ground fixed obstacles. The approach is suitable for small UA which are not able to carry complex and heavy 3D laser scanner mountings having additional drives or mirrors. It works without using external reference systems like DGPS. The approach was especially developed for a mission of the “International Micro Air Vehicle Conference” outdoor contest, where it is the aim to fly through a 6x6m artificial gate. The sensor data processing enables the height estimation above ground as well as the detection of obstacles in order to meet the mission’s goal. The height estimation enables a near-ground flight to prevent a collision with a top boundary of the gate, and a terrain following. The obstacle detection senses the pillars of the gate and finds a safe way through the narrow gate passage. The development and optimisation of the mounting and the sensor processing, as well as the validation, was realized under operational conditions with manual remote control (RC) helicopter flights and virtual flights at a simulation environment. The results of the experiments show that with this approach the mission can be fulfilled as a reliable ground estimation and object detection is ensured.
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References
Adolf, F.-M., Andert, F., Lorenz, S., Goormann, L., Dittrich, J.: An unmanned helicopter for autonomous flights in urban terrain. In: German Workshop on Robotics (2009)
Altenkirch, D.: WASLA-HALE III: Nachweis von Techniken und Verfahren für die Teilnahme von UAV’s am allgemeinen Luftverkehr. Manching, Workshop Unbemante Luftfahrzeuge, 29 May 2006
Andert, F., Goormann, L.: Combined grid and feature-based occupancy map building in large outdoor environments. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, IROS 2007, pp. 2065–2070. ISBN 978–1–4244–0912–9 (2007)
Freed, M., Fitzgerald, W., Harris, R.: Intelligent Autonomous Surveillance of Many Targets with few UAVS. http://www.entish.org/published/freed-fitzgerald-harris-05.pdf (2005)
Grzonka, S., Grisetti, G., Burgard, W.: Towards a navigation system for autonomous indoor flying. In: IEEE International Conference on Robotics and Automation, 2009, ICRA ’09, pp. 2878–2883, 12–17 May 2009. doi: 10.1109/ROBOT.2009.5152446
He, Z., Iyer, R.V., Chandler, P.R.: Vision-based UAV flight control and obstacle avoidance. In: American Control Conference, 14–16 June 2006. doi:10.1109/ACC.2006.1656540
Hokuyo Automatic (Hrsg.): Scanning Laser Range Finder UTM-30LX/LN Specification. http://www.hokuyoaut.jp/02sensor/07scanner/download/data/UTM-30LX_spec.pdf (2009)
Hrabar, S.: 3D path planning and stereo-based obstacle avoidance for rotorcraft UAVs. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, IROS 2008, pp. 807–814, 22–26 Sept 2008. doi:10.1109/IROS.2008.4650775
International Micro Air Vehicle Conference (Hrsg.): IMAV 2010 flight competition: mission description and rules. http://imav2010.org/Mission_Discription_and_Rules_IMAV_2010.pdf (2010)
Jähne, B.: Digital image processing. 5., rev. and extended. Springer, Berlin. http://www.gbv.de/dms/hebis-darmstadt/toc/104523808.pdf (2002). ISBN 3540677542
Kemkemian, S., Nouvel-Fiani, M., Cornic, P., Le Bihan, P., Garrec, P.: Radar systems for sense and avoid on UAV. In: Radar Conference—Surveillance for a Safer World, pp. 1–6 (2009)
Lin, Y., Hyyppä, J., Jaakkola, A.: Mini-UAV-Borne LIDAR for fine-scale mapping. In: Geoscience and Remote Sensing Letters, IEEE PP. Nr. 99, pp. 426–430 (2010). ISSN 1545–598X. doi:10.1109/LGRS.2010.2079913
Meister, O., Frietsch, N., Ascher, C., Trommer, G.F.: Adaptive path planning for VTOL-UAVs. In: Position, Location and Navigation Symposium, 2008 IEEE/ION 24, Nr. 7, pp. 1252–1259, 5–8 May 2008. doi:10.1109/MAES.2009.5208559
Miura, J., Negishi, Y., Shirai, Y.: Mobile robot map generation by integrating omnidirectional stereo and laser range finder. In: Intelligent Robots and System, 2002. IEEE/RSJ International Conference on Proceedings Bd. 1, pp. 250–255. IEEE Operations Center, Piscataway, NJ (2002). ISBN 0–7803–7398–7
Nagai, M., Tianen, C., Shibasaki, R., Kumagai, H., Ahmed, A.: UAV-borne 3-D mapping system by multisensor integration. In: Geoscience and Remote Sensing, IEEE Transactions on 47, Nr. 3, pp. 701–708 (2009). ISSN 0196–2892. doi:10.1109/TGRS.2008.2010314
Reimer, M., Wagner, B.: 3D scanning on a small mobile robot. In: Autonomous Minirobots for Research and Edutainment, pp. 65–72, 2–5 Oct 2007
Scherer, S., Singh, S., Chamberlain, L., Elgersma, M.: Flying fast and low among obstacles: methodology and experiments. Int. J. Rob. Res 27, 549–574 (2008). ISSN 0278–3649. doi:10.1177/0278364908090949
Ng, T.C., Guzman, J.I., Tan, J.C.: Development of a 3D LADAR system for autonomous vehicle guidance. In: Robotics, Automation and Mechatronics 2004 IEEE Conference, Nr. 1, pp. 13–18. http://www.simtech.a-star.edu.sg/Research/TechnicalReports/tech-report2005/STR_05-01_03_NTC.pdf (2004)
Wang, Y., Wang, G.: 3D feature points reconstruction based on stereo vision of UAV. In: 2nd International Conference on Information Engineering and Computer Science (ICIECS), pp. 1–4, 25–26 Dec 2010. doi:10.1109/ICIECS.2010.5677735
Whalley, M., Schulein, G., Theodore, C., Takahashi, M.: Design and flight test results for a hemispherical ladar developed to support unmanned rotorcraft urban operations research. In: AHS Annual Forum 64. http://www.vtol.org/f64_bestPapers/uav.pdf (2008)
Wulf, O., Wagner, B.: Fast 3D scanning methods for laser measurement systems. http://www.rts.uni-hannover.de/images/5/5f/Wulf03-CSCS.pdf (2003)
Zhiyu, X., Eryong, W.: Design and calibration of a fast 3d scanning LADAR. In: Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, pp. 211–215. IEEE Operations Center, Piscataway, NJ (2006). ISBN 1–4244–0465–7
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Krause, S. Multi-Purpose Environment Awareness Approach for Single Line Laser Scanner in a Small Rotorcraft UA. J Intell Robot Syst 65, 587–601 (2012). https://doi.org/10.1007/s10846-011-9572-6
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DOI: https://doi.org/10.1007/s10846-011-9572-6