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Journal articles on the topic 'Range finder'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 May 2022

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1

Gee, Henry. "Range finder." Nature 338, no. 6217 (April 1989): 673. http://dx.doi.org/10.1038/338673a0.

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2

Sato, Kosuke. "Silicon Range Finder." Journal of the Robotics Society of Japan 13, no. 3 (1995): 315–18. http://dx.doi.org/10.7210/jrsj.13.315.

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3

DeGeorge, Martin, and Hartwig Ruell. "Microphone range finder." Journal of the Acoustical Society of America 86, no. 6 (December 1989): 2472. http://dx.doi.org/10.1121/1.398420.

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4

Gotoh, T., and Y. Kunii. "Evaluation of shadow area segmentation method using Shadow Range Finder Range Finder." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2002 (2002): 18. http://dx.doi.org/10.1299/jsmermd.2002.18_3.

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5

Kumar, Charu Pramod. "Ultrasonic Range Finder using 8051." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (January 31, 2018): 3102–5. http://dx.doi.org/10.22214/ijraset.2018.1429.

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6

Eder, Kenneth C., and Christos M. Koukovinis. "Self‐calibrating ultrasonic range finder." Journal of the Acoustical Society of America 84, no. 3 (September 1988): 1128. http://dx.doi.org/10.1121/1.396668.

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7

MOHD RAZALI, Daud, Hiroshi OHROKU, and Kenzo NONAMI. "1A1-B19 Obstacle Avoidance Control by Laser Range Finder for Six-Legged Robot : SLAM by Laser Range Finder for Six-Legged Robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2010 (2010): _1A1—B19_1—_1A1—B19_4. http://dx.doi.org/10.1299/jsmermd.2010._1a1-b19_1.

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8

Kruapech, Sahapong, and Joewono Widjaja. "Laser range finder using Gaussian beam range equation." Optics & Laser Technology 42, no. 5 (July 2010): 749–54. http://dx.doi.org/10.1016/j.optlastec.2009.11.020.

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9

Mikitenko, Volodymyr I., Volodymyr M. Senatorov, and Anatolii Gurnovych. "LAND UNMANNED COMPLEX WITH PASSIVE RANGE MEASUREMENT." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 62(2) (December 24, 2021): 11–16. http://dx.doi.org/10.20535/1970.62(2).2021.249102.

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The automatic robotic complex will obviously become one of the main subjects in the conduct of military actions in the near future. To control movement parameters, as well as search, target detection and aiming, the complex includes a technical vision system. The minimum sufficient configuration of such a system includes a television search camera with a wide field of view, television and thermal imaging sights, and a rangefinder. The use of laser rangefinders ensures high accuracy of aiming weapons, but generates a powerful unmasking feature. To ensure the secrecy of the functioning of the robotic complex, range finders can operate in a passive mode using information from on-board television cameras. But at the same time, the metrological characteristics of the information measuring channel are significantly deteriorated. Accuracy of five methods of passive distance measurement with application of TV-systems of land unmanned complex is assessed in paper. Classic method of TV-sight external-base range-finder with scale, designed on human height 1,65 m, is ensuring measurement accuracy 135 m on distance 1000 m. External base method, when a range finger scale is forming on remote display as variable length vertical line in process of target framing, is ensuring measurement accuracy 100,3 m on dis-tance 1000 m. Fixed-base range-finder method, when distance between entrance pupils of TV-sight and wide viewing field camera using as base, is ensuring measurement accuracy 76 m on distance 1000 m. Distance measurement method due to displacement of land unmanned complex ensures a measurement accuracy up to 168 m on distance 1000 m. Measurement method due to using zoom-objective is not suitable for land unmanned complex. Proposals have been formulated for the spatial layout of the computer vision system, in which the method of the fixed-base rangefinder is implemented, which ensures the highest measurement accuracy.
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10

Gelmuda, W., and A. Kos. "Multichannel ultrasonic range finder for blind people navigation." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 3 (September 1, 2013): 633–37. http://dx.doi.org/10.2478/bpasts-2013-0067.

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Abstract The purpose of this paper is to present a multichannel ultrasonic range finder which was designed for the navigation system for blind people. A substantial number of consultations with blind people in the Blind People Centre in Krakow have shown that the navigation and obstacle detection with a help of a white stick only, is not sufficient enough to assure a high safety level. Electronic aids which are being designed for blind people should be mobile, comfortable and low-powered. That is why the MOBIAN© (a mobile safety system for the blind) project is being carried out by the authors to create a highly reliable safety navigation system for blind people. It could not only improve blind people quality of life but also their safety, especially when they are walking in unknown areas. As a part of this project, the multichannel ultrasonic range finder was designed, produced and tested. The tests have proven the device is capable of detecting objects from different directions in a range over 4 m. The device interface is easy to manage and can be controlled by almost any microcontroller or FPGA chip. The designed range finder is to be implemented in the electronic assistant project for blind people. Other systems, including the industrial ones, for instance, mobile robots or gates that count people entries, could benefit from this multichannel range finder. Usually, some low-cost ultrasonic range finders use two transducers for each channel (a transmitter and a receiver). The designed device employs only one transducer per channel which minimizes the end-device size and cost and at the same time provides with the main functionality. Novelty of this device is its multichannel design and the emplacement of the ultrasonic transducers, which can be used due to the application of the multichannel analog multiplexer. Thus, it is possible to detect obstacles, even the inclined ones, with higher reliability and increase the safety of blind people while walking. Also, this design and the transducers’ placement allow to detect obstacles much quicker, when the blind user suddenly turns.
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11

Lee, Jae-Woo. "Design and Construction of Laser Range Finder for Many Purposes." Journal of the Korea Academia-Industrial cooperation Society 12, no. 7 (July 31, 2011): 3214–19. http://dx.doi.org/10.5762/kais.2011.12.7.3214.

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12

Olivka, Petr, Michal Krumnikl, Pavel Moravec, and David Seidl. "Calibration of Short Range 2D Laser Range Finder for 3D SLAM Usage." Journal of Sensors 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/3715129.

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The laser range finder is one of the most essential sensors in the field of robotics. The laser range finder provides an accurate range measurement with high angular resolution. However, the short range scanners require an additional calibration to achieve the abovementioned accuracy. The calibration procedure described in this work provides an estimation of the internal parameters of the laser range finder without requiring any special three-dimensional targets. This work presents the use of a short range URG-04LX scanner for mapping purposes and describes its calibration. The precision of the calibration was checked in an environment with known ground truth values and the results were statistically evaluated. The benefits of the calibration are also demonstrated in the practical applications involving the segmentation of the environment. The proposed calibration method is complex and detects all major manufacturing inaccuracies. The procedure is suitable for easy integration into the current manufacturing process.
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13

Aghamohammadi, AliAkbar, Amir H. Tamjidi, and Hamid D. Taghirad. "SLAM Using Single Laser Range Finder." IFAC Proceedings Volumes 41, no. 2 (2008): 14657–62. http://dx.doi.org/10.3182/20080706-5-kr-1001.02482.

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14

YOSHIMI, Takashi, Toshio UESHIBA, and Masaki OSHIMA. "Multi Light Sources Range Finder System." Journal of the Robotics Society of Japan 9, no. 7 (1991): 803–12. http://dx.doi.org/10.7210/jrsj.9.803.

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15

Hanzel, Jaroslav, Marian Kľúčik, Ladislav Jurišica, and Anton Vitko. "Range Finder Models for Mobile Robots." Procedia Engineering 48 (2012): 189–98. http://dx.doi.org/10.1016/j.proeng.2012.09.504.

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16

Gatland, Ian R., Robert Kahlscheuer, and Hicham Menkara. "Experiments utilizing an ultrasonic range finder." American Journal of Physics 60, no. 5 (May 1992): 451–54. http://dx.doi.org/10.1119/1.16846.

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17

Kuratli, C., and Qiuting Huang. "A CMOS ultrasound range-finder microsystem." IEEE Journal of Solid-State Circuits 35, no. 12 (December 2000): 2005–17. http://dx.doi.org/10.1109/4.890317.

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18

Chen-Chia Wang, S. B. Trivedi, Feng Jin, J. Khurgin, D. Temple, U. Hommerich, E. Gad, Fow-Sen Choa, Yu-Sung Wu, and A. Corder. "Interferometer-less coherent optical range finder." Journal of Lightwave Technology 19, no. 5 (May 2001): 666–72. http://dx.doi.org/10.1109/50.923479.

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19

Taylor, E. Wilfred. "THE NEW COOKE-POLLEN RANGE-FINDER." Journal of the American Society for Naval Engineers 26, no. 3 (March 18, 2009): 813–31. http://dx.doi.org/10.1111/j.1559-3584.1914.tb00318.x.

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20

Lukin, I. V., G. P. Pushkarev, V. V. Sobol', V. V. Teslenko, V. P. Shatokhin, and E. A. Khesed. "High-precision differential-laser range finder." Measurement Techniques 31, no. 5 (May 1988): 421–24. http://dx.doi.org/10.1007/bf00864461.

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21

Takatsuka, Masahiro, Geoff A. W. West, Svetha Venkatesh, and Terry M. Caelli. "Low-cost interactive active range finder." Machine Vision and Applications 14, no. 3 (July 2003): 139–44. http://dx.doi.org/10.1007/s00138-003-0129-y.

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22

SHIOZAWA, Susumu, Tsutomu TANZAWA, and Noriaki KIYOHIRO. "The Wide Range Ultrasonic Range Finder to Detect Objects." Transactions of the Society of Instrument and Control Engineers 49, no. 5 (2013): 505–11. http://dx.doi.org/10.9746/sicetr.49.505.

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23

Iman, Hafiz b., and NAHRUL KHAIR ALANG MD RASHID. "PROBABILISTIC MODEL OF LASER RANGE FINDER FOR THREE DIMENSIONAL GRID CELL IN CLOSE RANGE ENVIRONMENT." IIUM Engineering Journal 17, no. 1 (April 30, 2016): 63–82. http://dx.doi.org/10.31436/iiumej.v17i1.570.

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The probabilistic model of a laser scanner presents an important aspect for simultaneous localization and map-building (SLAM). However, the characteristic of the beam of the laser range finder under extreme incident angles approaching 900 has not been thoroughly investigated. This research paper reports the characteristic of the density of the range value coming from a laser range finder under close range circumstances where the laser is imposed with a high incident angle. The laser was placed in a controlled environment consisting of walls at a close range and 1000 iteration of scans was collected. The assumption of normal density of the metrical data collapses when the beam traverses across sharp edges in this environment. The data collected also shows multimodal density at instances where the range has discontinuity. The standard deviation of the laser range finder is reported to average at 10.54 mm, with 0.96 of accuracy. This significance suggests that under extreme incident angles, a laser range finder reading behaves differently compared to normal distribution. The use of this information is crucial for SLAM activity in enclosed environments such as inside piping grid or other cluttered environments.KEYWORDS: Â Hokuyo UTM-30LX; kernel density estimation; probabilistic model Â
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24

Masaki, Jun, Nobuhiro Okada, and Eiji Kondo. "A Range Finder System with Electronically Maskable Photo Detecting Device Array." Journal of Robotics and Mechatronics 15, no. 3 (June 20, 2003): 322–30. http://dx.doi.org/10.20965/jrm.2003.p0322.

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A range finder realizable with an easy circuit composition is proposed. The range finder is based on the slit-ray projection method. In the system, positions of slit-ray images on an image plane are detected by using pattern masks electronically provided to the image plane. Due to using the electronic pattern masks, the range finder realizes high cost performance, highspeed measurement and small size. In order to estimate measurement speed, a prototype circuit has been developed. The experimental results obtained by the circuit have indicated that the range finder will be able to take a range image of which resolution is 64 × 64 and more in 1/30[s] or less in the future. A prototype range finder which has a 32 × 32 photo diode array and a laser slit marker has been also developed, and range images have been actually taken using it. In this paper, with emphasis on indicating the availability of the proposed method, the range finder system and experimental results by the prototype circuit and the prototype range finder will be shown.
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25

BRSCIC, Drazen, and Hideki HASHIMOTO. "2P1-G16 Extension of laser range finder functionality using mirrors." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _2P1—G16_1—_2P1—G16_3. http://dx.doi.org/10.1299/jsmermd.2008._2p1-g16_1.

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26

Golovkov, V. A., N. I. Potapova, P. N. Rudenko, B. G. Stradov, and S. V. Teliatnikov. "Receiving Unit of a Precision Pulsed Laser Range Finder." Journal of the Russian Universities. Radioelectronics 23, no. 2 (April 28, 2020): 73–81. http://dx.doi.org/10.32603/1993-8985-2020-23-2-73-81.

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Introduction. At present the most accurate estimate of ranges is specific to laser range finders using phase measuring techniques. Design of a pulsed laser range finder with short probe pulses enabling one to gain high resolution and accuracy of estimate of target range close to the phase range finders is the topical problem.Aim. Development of a receiving part of the pulsed laser rangefinder with precision characteristics; determination of the accuracy of the measurements; description of the hardware.Materials and methods. The construction of the receiving part of the precision pulsed laser rangefinder with a two-scale digital range estimation system implemented by counting clock generator pulses and an analog integrator that specifies the discrete range estimation was considered. Using the methods of mathematical statistics, the energy characteristics of the rangefinder were determined: the accuracy of the range estimation and the probability of false alarm were provided by the developed scheme. The hardware of the precision laser rangefinder was described.Results. The principles of implementation of the receiving part of the laser rangefinder with a two-scale digital system for estimating the distance to the object were given. The results of numerical simulation of rangefinder characteristics were obtained, confirming the accuracy of range estimation of the order of millimeters. In the implemented rangefinder scheme, the probability of false alarm was 10-4 during 200 s of observing signal and noise mixture. The hardware of the precision laser rangefinder with a digital two-scale range estimation was proposed.Conclusion. The implemented laser range finder approaches to the capabilities of phase laser rangefinders in terms of potential accuracy of distance up to millimeters, while implementing the specified parameter in rapidly changing phono-target environment. Using of short probing pulses with a duration of 10...20 ns allows one to achieve a resolution of up to 1.5 m. In contrast to the phase rangefinder the range can be estimated from a single probe pulse.
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27

Tanzawa, Tsutomu, Susumu Shiozawa, Hiromi Watanabe, and Noriaki Kiyohiro. "The Wide Range Ultrasonic Range Finder for Outdoor Mobile Robots." Journal of the Robotics Society of Japan 27, no. 5 (2009): 583–89. http://dx.doi.org/10.7210/jrsj.27.583.

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28

Terada, Kenji, Daisuke Yoshida, Shun'ichiro Oe, and Jun'ichi Yamaguchi. "Range Finder Using the Swinging Cubic Mirror." IEEJ Transactions on Electronics, Information and Systems 120, no. 1 (2000): 168–73. http://dx.doi.org/10.1541/ieejeiss1987.120.1_168.

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29

Wang Qianqian, 王茜蒨, 曾嫦娥 Zeng Chang’e, and 彭中 Peng Zhong. "Integrated test technology for laser range finder." High Power Laser and Particle Beams 22, no. 9 (2010): 1973–76. http://dx.doi.org/10.3788/hplpb20102209.1973.

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30

Holmberg, P. "Robust ultrasonic range finder-an FFT analysis." Measurement Science and Technology 3, no. 11 (November 1, 1992): 1025–37. http://dx.doi.org/10.1088/0957-0233/3/11/001.

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31

Kulich, Miroslav, and Libor Přeučil. "Fast localization from laser range-finder data." IFAC Proceedings Volumes 37, no. 8 (July 2004): 54–59. http://dx.doi.org/10.1016/s1474-6670(17)31950-x.

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32

Joksimović, Dušan D., Janko M. Cvijanović, and Nebojša Ž. Romčević. "Pulse laser range finder for military applications." Vojno delo 67, no. 5 (2015): 357–72. http://dx.doi.org/10.5937/vojdelo1505357j.

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33

OZAWA, Mayumi, Ayanori YOROZU, Tetsuya MATSUMURA, and Masaki TAKAHASHI. "Gait Measurement System Using Laser Range Finder." TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 79, no. 801 (2013): 1550–60. http://dx.doi.org/10.1299/kikaic.79.1550.

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34

Watari, M., T. Ushioda, and Y. Kunii. "Tele-operation by using Shadow Range Finder." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2004 (2004): 59. http://dx.doi.org/10.1299/jsmermd.2004.59_4.

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35

ROIDER, J., P. BUESGEN, H. HOERAUF, U. SCHMIDT-ERFURTH, H. LAQUA, and R. BIRNGRUBER. "MACULAR INJURY BY A MILITARY RANGE FINDER." Retina 19, no. 6 (November 1999): 531. http://dx.doi.org/10.1097/00006982-199911000-00009.

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36

ROIDER, J., P. BUESGEN, H. HOERAUF, U. SCHMIDT-ERFURTH, H. LAQUA, and R. BIRNGRUBER. "MACULAR INJURY BY A MILITARY RANGE FINDER." Retina 19, no. 6 (1999): 531–35. http://dx.doi.org/10.1097/00006982-199919060-00009.

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37

Poujouly, St phane, and Bernard Journet. "A twofold modulation frequency laser range finder." Journal of Optics A: Pure and Applied Optics 4, no. 6 (November 1, 2002): S356—S363. http://dx.doi.org/10.1088/1464-4258/4/6/380.

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38

Dekan, Martin, Duchoň František, Babinec Andrej, Rodina Jozef, Rau Dávid, and Musić Josip. "Moving obstacles detection based on laser range finder measurements." International Journal of Advanced Robotic Systems 15, no. 1 (January 1, 2018): 172988141774813. http://dx.doi.org/10.1177/1729881417748132.

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The objective of this article is to propose data processing from laser range finder that will provide simple, fast, and reliable object recognition including moving objects. The whole method is based on four steps: segmentation, simplification, correspondence between consequent measurements, and object classification. Segmentation uses raw data from laser range finder and it is significant in logical connection of related segments. The most important step is simplification which provides data reduction and acceleration of object classification. The output of simplification is an object represented by significant points. Correspondence between consequent measurements is based on kd-tree nearest neighborhood search. The object is then classified by its spatial changes. These changes are evaluated by position of correspondent significant points. Input of proposed procedure is a probabilistic model of laser range finder. In this article, versatile probabilistic model of Hokuyo URM-30 LX was used. The method was verified by simulations and by tests in real environment. The results show that proposed method is reliable and with small modifications (of parameters), it is usable with any other planar laser range finder.
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39

Barat, Christian, Jean Triboulet, Youcef Chekhar, and Etienne Colle. "Modelling of a camera-3D range finder system." Robotica 15, no. 2 (March 1997): 225–31. http://dx.doi.org/10.1017/s0263574797000246.

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A laser range finder mounted on a site and azimuth turret is used as a 3D range camera. It forms, associated with a video camera, an original stereovision system. The internal structure of both images are the same but the resolution of 3D image stays low. By ignoring the acquiring speed of measures, spatial resolution is limited by the accuracy of deviation device and the laser footprint. The fact that the impact of the beam is not a point introduces spatial integration.To correct the average at depth discontinuities due to the beam footprint, a neural-network-based solution is reported.The use of such a multisensor system requires its calibration. As camera calibration is a well-known problem, the paper focuses on models and calibration methods of the range finder. Experimental results illustrate the quality of the calibration step in terms of accuracy and stability.The footprint correction is evaluated for both 1D and 2D range finder scannings.
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40

Rakshit, A., and A. Chatterjee. "A Microcontroller-Based IR Range Finder System With Dynamic Range Enhancement." IEEE Sensors Journal 10, no. 10 (October 2010): 1635–36. http://dx.doi.org/10.1109/jsen.2010.2048204.

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41

Chen, June Wen, Jing Bin Duan, Shih Jui Wu, Yi Shan Chen, Li An Chiu, and Ya Ping Kuang. "Robotic Cross-Lines Laser Indicator and Range Finder." Advanced Materials Research 311-313 (August 2011): 1594–98. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.1594.

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A novel robotic vision and control system using cross-lines laser indicator and range finder simultaneously is developed. This modular have fine crossed lines indication of 1.2mm sharpness at 5 m distance, and simultaneously ranging accuracy of 3 mm up to the range of 100 m. The theoretical derivation, CAD/CAM design, and lens design together with experimental results will be presented in detail.
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42

Wakabayashi, Yasufumi, and Tadashi Adachi. "A Small Laser Range Finder for Planetary Rover." Journal of the Robotics Society of Japan 13, no. 3 (1995): 319–21. http://dx.doi.org/10.7210/jrsj.13.319.

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43

Jung, Soo-Yong, Seong Ro Lee, Min A. Jeong, and Chang-Soo Park. "Nonlinearity Correction Method in FMCW Laser Range Finder." Journal of Korea Information and Communications Society 38C, no. 4 (April 30, 2013): 351–58. http://dx.doi.org/10.7840/kics.2013.38c.4.351.

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44

YOSHIDA, Kazuhiro, and Shigeo HIROSE. "Laser Triangulation Range Finder Available under Direct Sunlight." Transactions of the Society of Instrument and Control Engineers 24, no. 5 (1988): 445–51. http://dx.doi.org/10.9746/sicetr1965.24.445.

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45

WANG, Xinyu, Shin LIU, and Hiroyuki SHINODA. "A Small Range Finder Using Light Source Vibration." Transactions of the Society of Instrument and Control Engineers 37, no. 10 (2001): 905–10. http://dx.doi.org/10.9746/sicetr1965.37.905.

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46

Archibald, C., E. Petriu, and A. Harb. "Robot skills development using a laser range finder." IEEE Transactions on Instrumentation and Measurement 43, no. 2 (April 1994): 265–71. http://dx.doi.org/10.1109/19.293431.

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47

Chen, Yung‐Chang, and Ming‐Fa Tsai. "A scanning laser‐range‐finder with dual receivers." Journal of the Chinese Institute of Engineers 10, no. 1 (January 1987): 67–74. http://dx.doi.org/10.1080/02533839.1987.9676944.

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48

Chen, Ying, Guowei Yang, Fengzhi Dai, Yuxuan Zhu, Di Yin, Yasheng Yuan, Yiqiao Qin, Ce Bian, Chengcai Wang, and Xinyu Zhang. "Ultrasonic Range Finder for Vehicle Collision Avoidance System." Proceedings of International Conference on Artificial Life and Robotics 24 (January 10, 2019): 260–63. http://dx.doi.org/10.5954/icarob.2019.os11-2.

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49

Kirchner, Nathan, Dikai Liu, and Gamini Dissanayake. "Surface Type Classification With a Laser Range Finder." IEEE Sensors Journal 9, no. 9 (September 2009): 1160–68. http://dx.doi.org/10.1109/jsen.2009.2027413.

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50

Zanela, Andrea, and Sergio Taraglio. "A cellular neural network based optical range finder." International Journal of Circuit Theory and Applications 30, no. 2-3 (2002): 271–85. http://dx.doi.org/10.1002/cta.200.

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