Abstract

An optical-cavity-based multiwavelength sensor is developed for object discrimination and position finding. The working principle of this device employs the multiple laser beam triangulation method to determine object position in addition to its ability to recognize them. The multiwavelength sensor employs five different identically polarized and overlapped laser light beams that are sequentially pulsed and launched through a custom-made curved optical cavity to generate multiple laser spots for each laser. The intensities of the reflected light beams from the different spots are detected by a high-speed area scan image sensor. The discrimination between five different objects, namely, brick, cement sheet, roof tile, cotton, and leather is accomplished by calculating the slopes of the objects' reflectance spectra at the employed wavelengths. The object position (coordinates) are determined using the triangulation method, which is based on the projection of laser spots along determined angles on the objects and the measurements of the objects' reflectance spectra using an image sensor. Experimental results demonstrate the ability of the multiwavelength spectral reflectance sensor to simultaneously discriminate between different objects and predict their positions over a 6 m range with an accuracy exceeding 92%.

© 2011 IEEE

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References

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2010

K. Venkataraayan, S. Askraba, K. E. Alameh, C. L. Smith, "Photonic-based multi-wavelength sensor for object identification," Opt. Exp. 18, 3774-3783 (2010).

2008

K. Sahba, K. E. Alameh, C. L. Smith, "Obstacle detection and spectral discrimination using multi-wavelength motionless wide angle laser scanning," Opt. Exp. 16, 5822-5831 (2008).

2006

K. Sahba, S. Askraba, K. E. Alameh, "Non-contact laser spectroscopy for plant discrimination in terrestrial crop spraying," Opt. Exp. 14, 12485-12493 (2006).

2004

P. Hosmer, "Use of laser scanning technology for perimeter protection," IEEE Aerosp. Electron. Syst. Mag. 19, 13-17 (2004).

1997

1995

B. R. Myneni, F. G. Hall, J. P. Sellers, A. L. Marshak, "The interpretation of spectral vegetation indexes," IEEE Trans. Geosci. Remote Sens. 33, 481-486 (1995).

Appl. Opt.

IEEE Aerosp. Electron. Syst. Mag.

P. Hosmer, "Use of laser scanning technology for perimeter protection," IEEE Aerosp. Electron. Syst. Mag. 19, 13-17 (2004).

IEEE Trans. Geosci. Remote Sens.

B. R. Myneni, F. G. Hall, J. P. Sellers, A. L. Marshak, "The interpretation of spectral vegetation indexes," IEEE Trans. Geosci. Remote Sens. 33, 481-486 (1995).

Opt. Exp.

K. Sahba, K. E. Alameh, C. L. Smith, "Obstacle detection and spectral discrimination using multi-wavelength motionless wide angle laser scanning," Opt. Exp. 16, 5822-5831 (2008).

K. Venkataraayan, S. Askraba, K. E. Alameh, C. L. Smith, "Photonic-based multi-wavelength sensor for object identification," Opt. Exp. 18, 3774-3783 (2010).

K. Sahba, S. Askraba, K. E. Alameh, "Non-contact laser spectroscopy for plant discrimination in terrestrial crop spraying," Opt. Exp. 14, 12485-12493 (2006).

Other

M. P. M. Shott, Handling Experimental Data (Open Univ. Press, 1988).

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