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Volumn 20, Issue 3, 2009, Pages 460-470

Comparison between analog and digital neural network implementations for range-finding applications

Author keywords

Analog and digital neural network implementations; Distance range increase; Laser range finder; Multilayer perceptron; Surface classification

Indexed keywords

APPLICATIONS; ELECTRIC LOADS; INTEGRATED CIRCUITS; LASERS; MULTILAYERS; PHASE SHIFT; RANGE FINDERS; RANGE FINDING; SEMICONDUCTING SILICON COMPOUNDS; SEMICONDUCTOR LASERS;

EID: 63049093583     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2009120     Document Type: Article
Times cited : (44)

References (34)
  • 2
    • 0031199509 scopus 로고    scopus 로고
    • A fiber optic sensor for the measurement of surface roughness and displacement using artificial neural networks
    • Aug
    • K. Zhang, C. Butler, Q. Yang, and Y. Lu, "A fiber optic sensor for the measurement of surface roughness and displacement using artificial neural networks," IEEE Trans. Instrum. Meas., vol. 46, no. 4, pp. 899-902, Aug. 1997.
    • (1997) IEEE Trans. Instrum. Meas , vol.46 , Issue.4 , pp. 899-902
    • Zhang, K.1    Butler, C.2    Yang, Q.3    Lu, Y.4
  • 3
    • 0030653276 scopus 로고    scopus 로고
    • Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks
    • Jun. 9-12
    • P. N. Pathirana and A. Zaknich, "Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks," in Proc. IEEE Int. Conf. Neural Netw., Jun. 9-12, 1997, vol. 1, pp. 31-36.
    • (1997) Proc. IEEE Int. Conf. Neural Netw , vol.1 , pp. 31-36
    • Pathirana, P.N.1    Zaknich, A.2
  • 4
    • 42549151882 scopus 로고    scopus 로고
    • Relevance-based feature extraction for hyperspectral images
    • Apr
    • M. J. Mendenhall and E. Merenyi, "Relevance-based feature extraction for hyperspectral images," IEEE Trans. Neural Netw., vol. 19, no. 4, pp. 658-672, Apr. 2008.
    • (2008) IEEE Trans. Neural Netw , vol.19 , Issue.4 , pp. 658-672
    • Mendenhall, M.J.1    Merenyi, E.2
  • 5
    • 33646518768 scopus 로고    scopus 로고
    • Lidar detection of underwater objects using a neuro-SVM-based architecture
    • May
    • V. Mitra, C.-J. Wang, and S. Banerjee, "Lidar detection of underwater objects using a neuro-SVM-based architecture," IEEE Trans. Neural Netw., vol. 17, no. 3, pp. 717-731, May 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.3 , pp. 717-731
    • Mitra, V.1    Wang, C.-J.2    Banerjee, S.3
  • 6
    • 35948989120 scopus 로고    scopus 로고
    • Neural networks for improved tracking
    • Nov
    • L. I. Perlovsky and R. W. Deming, "Neural networks for improved tracking," IEEE Trans. Neural Netw., vol. 18, no. 6, pp. 1854-1857, Nov. 2007.
    • (2007) IEEE Trans. Neural Netw , vol.18 , Issue.6 , pp. 1854-1857
    • Perlovsky, L.I.1    Deming, R.W.2
  • 7
    • 34548656148 scopus 로고    scopus 로고
    • Polytope ARTMAP: Pattern classification without vigilance based on general geometry categories
    • Sep
    • D. G. Amorim, M. F. Delgado, and S. B. Ameneiro, "Polytope ARTMAP: Pattern classification without vigilance based on general geometry categories," IEEE Trans. Neural Netw., vol. 18, no. 5, pp. 1306-1325, Sep. 2007.
    • (2007) IEEE Trans. Neural Netw , vol.18 , Issue.5 , pp. 1306-1325
    • Amorim, D.G.1    Delgado, M.F.2    Ameneiro, S.B.3
  • 8
    • 34047181683 scopus 로고    scopus 로고
    • A pyramidal neural network for visual pattern recognition
    • Mar
    • S. L. Phung and A. Bouzerdoum, "A pyramidal neural network for visual pattern recognition," IEEE Trans. Neural Netw., vol. 18, no. 2, pp. 329-343, Mar. 2007.
    • (2007) IEEE Trans. Neural Netw , vol.18 , Issue.2 , pp. 329-343
    • Phung, S.L.1    Bouzerdoum, A.2
  • 9
    • 40549134208 scopus 로고    scopus 로고
    • A hierarchical graph neuron scheme for real-time pattern recognition
    • Feb
    • B. B. Nasution and A. I. Khan, "A hierarchical graph neuron scheme for real-time pattern recognition," IEEE Trans. Neural Netw., vol. 19, no. 2, pp. 212-229, Feb. 2008.
    • (2008) IEEE Trans. Neural Netw , vol.19 , Issue.2 , pp. 212-229
    • Nasution, B.B.1    Khan, A.I.2
  • 10
    • 49149087192 scopus 로고    scopus 로고
    • Incremental learning of chunk data for online pattern classification systems
    • Jun
    • S. Ozawa, S. Pang, and N. Kasabov, "Incremental learning of chunk data for online pattern classification systems," IEEE Trans. Neural Netw. vol. 19, no. 6, pp. 1061-1074, Jun. 2008.
    • (2008) IEEE Trans. Neural Netw , vol.19 , Issue.6 , pp. 1061-1074
    • Ozawa, S.1    Pang, S.2    Kasabov, N.3
  • 11
  • 12
    • 0033326315 scopus 로고    scopus 로고
    • A monocular vision-based position sensor using neural networks for automated vehicle following
    • Jul. 27-29
    • Y. Omura, S. Funabiki, and T. Tanaka, "A monocular vision-based position sensor using neural networks for automated vehicle following," in Proc. IEEE Int. Conf. Power Electron. Drive Syst., Jul. 27-29, 1999, vol. 1, pp. 388-393.
    • (1999) Proc. IEEE Int. Conf. Power Electron. Drive Syst , vol.1 , pp. 388-393
    • Omura, Y.1    Funabiki, S.2    Tanaka, T.3
  • 13
    • 33749507177 scopus 로고    scopus 로고
    • Classifying surface roughness with CTFM ultrasonic sensing
    • Oct
    • P. J. Mckerrow and B. E. Kristiansen, "Classifying surface roughness with CTFM ultrasonic sensing," IEEE Sensors J., vol. 6, no. 5, pp. 1267-1279, Oct. 2006.
    • (2006) IEEE Sensors J , vol.6 , Issue.5 , pp. 1267-1279
    • Mckerrow, P.J.1    Kristiansen, B.E.2
  • 14
    • 33846321805 scopus 로고    scopus 로고
    • Fiber-grating-based vision system for real-time tracking, monitoring, and obstacle detection
    • Jan
    • M. K. Habib, "Fiber-grating-based vision system for real-time tracking, monitoring, and obstacle detection," IEEE Sensors J., vol. 7, no. 1, pp. 105-121, Jan. 2007.
    • (2007) IEEE Sensors J , vol.7 , Issue.1 , pp. 105-121
    • Habib, M.K.1
  • 15
    • 0029231876 scopus 로고
    • Advanced technologies for perimeter intrusion detection sensors
    • May 16-18
    • J. D. Williams, "Advanced technologies for perimeter intrusion detection sensors," in Proc. Eur. Conv. Security Detection, May 16-18, 1995, pp. 133-137.
    • (1995) Proc. Eur. Conv. Security Detection , pp. 133-137
    • Williams, J.D.1
  • 16
    • 0242695730 scopus 로고    scopus 로고
    • Implementation of an RBF neural network on embedded systems: Real-time face tracking and identity verification
    • Sep
    • F. Yang and M. Paindavoine, "Implementation of an RBF neural network on embedded systems: Real-time face tracking and identity verification," IEEE Trans. Neural Netw., vol. 14, no. 5, pp. 1162-1175, Sep. 2003.
    • (2003) IEEE Trans. Neural Netw , vol.14 , Issue.5 , pp. 1162-1175
    • Yang, F.1    Paindavoine, M.2
  • 17
    • 0032073193 scopus 로고    scopus 로고
    • Detection of mines and minelike targets using principal component and neural-network methods
    • May
    • X. Miao, M. R. Azimi-Sadjadi, B. Tan, A. C. Dubey, and N. H. Witherspoon, "Detection of mines and minelike targets using principal component and neural-network methods," IEEE Trans. Neural Netw., vol. 9, no. 3, pp. 454-463, May 1998.
    • (1998) IEEE Trans. Neural Netw , vol.9 , Issue.3 , pp. 454-463
    • Miao, X.1    Azimi-Sadjadi, M.R.2    Tan, B.3    Dubey, A.C.4    Witherspoon, N.H.5
  • 18
    • 0034271844 scopus 로고    scopus 로고
    • Signal detection using the radial basis function coupled map lattice
    • Sep
    • H. Leung, G. Hennessey, and A. Drosopoulos, "Signal detection using the radial basis function coupled map lattice," IEEE Trans. Neural Netw. vol. 11, no. 5, pp. 1133-1151, Sep. 2000.
    • (2000) IEEE Trans. Neural Netw , vol.11 , Issue.5 , pp. 1133-1151
    • Leung, H.1    Hennessey, G.2    Drosopoulos, A.3
  • 20
    • 0027790068 scopus 로고
    • Profiling of hot surfaces by pulsed time-of-flight laser range finder techniques
    • Sep
    • K. Maatta, J. Kostamovaara, and R. Myllyla, "Profiling of hot surfaces by pulsed time-of-flight laser range finder techniques," Appl. Opt. vol. 32, no. 27, pp. 5334-5347, Sep. 1993.
    • (1993) Appl. Opt , vol.32 , Issue.27 , pp. 5334-5347
    • Maatta, K.1    Kostamovaara, J.2    Myllyla, R.3
  • 21
    • 29044433557 scopus 로고    scopus 로고
    • Design of a system that uses optical-fiber sensors and neural networks to control a large-scale industrial oven by monitoring the food quality online
    • Dec
    • M. O'Farrell, E. Lewis, C. Flanagan, W. B. Lyons, and N. Jackman, "Design of a system that uses optical-fiber sensors and neural networks to control a large-scale industrial oven by monitoring the food quality online," IEEE Sensors J., vol. 5, no. 6, pp. 1407-1420, Dec. 2005.
    • (2005) IEEE Sensors J , vol.5 , Issue.6 , pp. 1407-1420
    • O'Farrell, M.1    Lewis, E.2    Flanagan, C.3    Lyons, W.B.4    Jackman, N.5
  • 22
    • 0029483694 scopus 로고
    • Road surface recognition sensor using an optical spatial filter
    • Sep. 25-26
    • S. Yoda, H. Okabe, J. Takagi, and T. Yamashita, "Road surface recognition sensor using an optical spatial filter," in Proc. Intell. Veh. Symp., Sep. 25-26, 1995, pp. 253-257.
    • (1995) Proc. Intell. Veh. Symp , pp. 253-257
    • Yoda, S.1    Okabe, H.2    Takagi, J.3    Yamashita, T.4
  • 23
    • 3142749701 scopus 로고    scopus 로고
    • A novel application of a microaccelerometer for target classification
    • Aug
    • J. Lan, T. Lan, and S. Nahavandi, "A novel application of a microaccelerometer for target classification," IEEE Sensors J., vol. 4, no. 4, pp. 519-524, Aug. 2004.
    • (2004) IEEE Sensors J , vol.4 , Issue.4 , pp. 519-524
    • Lan, J.1    Lan, T.2    Nahavandi, S.3
  • 24
    • 0035071722 scopus 로고    scopus 로고
    • Compact optical instrument for surface classification using self-mixing interference in a laser diode
    • S. K. Ozdemir, S. Shinohara, S. Ito, S. Takamiya, and H. Yoshida, "Compact optical instrument for surface classification using self-mixing interference in a laser diode," Opt. Eng., vol. 40, no. 1, pp. 38-43, 2001.
    • (2001) Opt. Eng , vol.40 , Issue.1 , pp. 38-43
    • Ozdemir, S.K.1    Shinohara, S.2    Ito, S.3    Takamiya, S.4    Yoshida, H.5
  • 25
    • 0347603905 scopus 로고    scopus 로고
    • Classification of surface roughness and distance measurement using artificial neural network
    • P. Neelamegan and A. Rajendran, "Classification of surface roughness and distance measurement using artificial neural network," Instrum. Sci. Technol., vol. 31, no. 4, pp. 417-423, 2003.
    • (2003) Instrum. Sci. Technol , vol.31 , Issue.4 , pp. 417-423
    • Neelamegan, P.1    Rajendran, A.2
  • 27
    • 33748600940 scopus 로고    scopus 로고
    • APD-based heterodyne optical head of a phase-shift laser rangefinder
    • _1-43003_7, Apr
    • D. Castagnet, H. Tap-Béteille, and M. Lescure, "APD-based heterodyne optical head of a phase-shift laser rangefinder," Opt. Eng., vol. 45, no. 4, pp. 43003_1-43003_7, Apr. 2006.
    • (2006) Opt. Eng , vol.45 , Issue.4 , pp. 43003
    • Castagnet, D.1    Tap-Béteille, H.2    Lescure, M.3
  • 29
    • 34547980579 scopus 로고    scopus 로고
    • Surface detection using phase-shift laser rangefinder and neural network
    • Jul
    • L. Gatet, H. Tap-Béteille, and M. Lescure, "Surface detection using phase-shift laser rangefinder and neural network," Opt. Syst. Design vol. 46, no. 7, pp. 073002-1-073002-11, Jul. 2007.
    • (2007) Opt. Syst. Design , vol.46 , Issue.7
    • Gatet, L.1    Tap-Béteille, H.2    Lescure, M.3
  • 30
    • 34648824671 scopus 로고    scopus 로고
    • Analog neural network for real-time surface detection with a laser range finder
    • May 1-3
    • L. Gatet, H. Tap-Béteille, and M. Lescure, "Analog neural network for real-time surface detection with a laser range finder," in Proc. IEEE Instrum. Meas. Technol. Conf., May 1-3, 2007, pp. 1-6.
    • (2007) Proc. IEEE Instrum. Meas. Technol. Conf , pp. 1-6
    • Gatet, L.1    Tap-Béteille, H.2    Lescure, M.3
  • 31
    • 47849093494 scopus 로고    scopus 로고
    • Analog neural network implementation for a real-time surface classification application
    • Aug
    • L. Gatet, H. Tap-Béteille, and M. Lescure, "Analog neural network implementation for a real-time surface classification application," IEEE Sensors J., vol. 8, no. 8, pp. 1413-1421, Aug. 2008.
    • (2008) IEEE Sensors J , vol.8 , Issue.8 , pp. 1413-1421
    • Gatet, L.1    Tap-Béteille, H.2    Lescure, M.3
  • 33
    • 0005350173 scopus 로고
    • Experimental determination of the useful reflexion coefficient of non-cooperative targets for a time-of-flight laser range finder
    • T. Bosch and M. Lescure, "Experimental determination of the useful reflexion coefficient of non-cooperative targets for a time-of-flight laser range finder," Opt. Rev., vol. 2, no. 4, pp. 289-291, 1995.
    • (1995) Opt. Rev , vol.2 , Issue.4 , pp. 289-291
    • Bosch, T.1    Lescure, M.2
  • 34
    • 34547991263 scopus 로고    scopus 로고
    • Real time surface discrimination using an analog neural network implemented in a phase-shift laser range finder
    • Oct
    • L. Gatet, H. Tap-Béteille, and M. Lescure, "Real time surface discrimination using an analog neural network implemented in a phase-shift laser range finder," IEEE Sensors J., vol. 7, no. 10, pp. 1381-1387, Oct. 2007.
    • (2007) IEEE Sensors J , vol.7 , Issue.10 , pp. 1381-1387
    • Gatet, L.1    Tap-Béteille, H.2    Lescure, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.