×

Rapid simulation-based uncertainty quantification of flash-type time-of-flight and Lidar-based body-scanning processes. (English) Zbl 1441.78020

Summary: Lidar and other time-of-flight technologies have recently received significant attention in both academic and industrial biomechanics communities, driven by technological advances in human body scanners. This paper develops an efficient and rapid computational method to simulate fast flash-type single-pulse Lidar, based on decomposition of a Lidar pulse into a group of rays, which are then tracked and processed. This allows one to quickly quantify the uncertainty in the response by identifying regions where the return signal will be erroneous due to multiple reflections.

MSC:

78A55 Technical applications of optics and electromagnetic theory

Software:

Kinect
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] Moeslund, T. B.; Granum, E., A survey of computer vision-based human motion capture, Comput. Vis. Image Underst., 81.3, 231-268 (2001) · Zbl 1011.68548
[2] Biswas, K. K.; Basu, S. K., Gesture recognition using microsoft kinect, Autom., Robot. Appl. (ICARA) (2001), 2011 5th International Conference on. IEEE
[3] Larsson, S.; Kjellander, J. A.P., Motion control and data capturing for laser scanning with an industrial robot, Robot. Auton. Syst., 54, 6, 453-460 (2006)
[4] K.H. Strobl, E. Mair, T. Bodenmüller, S. Kielhöfer, W. Sepp, M. Suppa, D. Burschka, G. Hirzinger, The Self-Referenced DLR 3D-Modeler, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), St. Louis, MO, USA, 2009, pp. 21-28.
[5] K.H. Strobl, E. Mair, G. Hirzinger, Image-Based Pose Estimation for 3-D Modeling in Rapid, Hand-Held Motion, in: Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 2011, pp. 2593-2600.
[6] Goel, Salil; Lohani, Bharat, A motion correction technique for laser scanning of moving objects, IEEE Geosci. Remote Sens. Lett., 225-228 (2014)
[7] Ring, J., The laser in astronomy, New Sci., 672-673 (1963)
[8] Cracknell, A. P.; Hayes, L., Introduction To Remote Sensing (2007), Taylor and Francis: Taylor and Francis London, OCLC 70765252
[9] Goyer, G. G.; Watson, R., The laser and its application to meteorology, Bull. Am. Meteorol. Soc., 44, 9, 564-575 (1963), 568
[10] Medina, A.; Gaya, F.; Pozo, F., Compact laser radar and three-dimensional camera, J. Opt. Soc. Amer. A, 23, 800-805 (2006)
[11] Trickey, P.; Cao, X., Characterization of the OPAL obscurant penetrating lidar in various degraded visual environments proc. SPIE 8737, degraded visual environments: Enhanced, synthetic, and external vision solutions 2013 (2013)
[12] Miles, Hansard; Seungkyu, Lee; Ouk, Choi; Radu, Horaud, Time-of-flight cameras: Principles, methods and applications, (Briefs in Computer Science (2012), Springer)
[13] Schuon Sebastian, Theobalt Christian, Davis James, Thrun Sebastian, High-quality scanning using time-of-flight depth superresolution, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008 Institute of Electrical and Electronics Engineers, 2008, pp. 1-7.
[14] Gokturk Salih Burak, Yalcin Hakan, Bamji Cyrus, A Time-Of-Flight Depth Sensor - System Description, Issues and Solutions. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2004. Institute of Electrical and Electronics Engineers, 2005, pp. 35-45, http://dx.doi.org/10.1109/CVPR.2004.291.
[15] ASC’s 3D Flash LiDar camera selected for OSIRIS-REx asteroid mission, NASASpaceFlight.com, 2012-05-13.
[16] Jan, Aue; Dirk, Langer; Bernhard, Muller-Bessler; Burkhard, Huhnke, Efficient segmentation of 3D lidar point clouds handling partial occlusion, ((2011), Baden-Baden, Germany, IEEE)
[17] Stephen, Hsu.; Sunil, Acharya; Abbas, Rafii; Richard, New, Performance of a time-of-flight range Camera for intelligent vehicle safety applications (PDF), (Advanced Microsystems for Automotive Applications, VDI-Buch (2006), Springer), 205-219
[18] Elkhalili Omar, Schrey Olaf M., Ulfig Wiebke, Brockherde Werner, Hosticka Bedrich J., A 64x8 pixel 3-D CMOS time-of flight image sensor for car safety applications, in: European Solid State Circuits Conference 2006, pp. 568-571, http://dx.doi.org/10.1109/ESSCIR.2006.307488, ISBN: 978-1-4244-0302-8.
[19] Gross, H., Handbook of optical systems, (Gross, H., Fundamental of Technical Optics (2005), Wiley-VCH)
[20] Zohdi, T. I., Computation of the coupled thermo-optical scattering properties of random particulate systems, Comput. Methods Appl. Mech. Engrg., 195, 5813-5830 (2006) · Zbl 1135.78016
[21] Zohdi, T. I.; Kuypers, F. A., Modeling and rapid simulation of multiple red blood cell light scattering, Proc. R. Soc. Inter., 3, 11, 823-831 (2006)
[22] Zohdi, T. I., Electromagnetic properties of multiphase dielectrics, (A Primer on Modeling, Theory and Computation (2012), Springer-Verlag) · Zbl 1314.78002
[23] Zohdi, T. I., A computational modeling framework for high-frequency particulate obscurant cloud performance, Int. J. Eng. Sci., 89, 75-85 (2015)
[24] Zohdi, T. I., On high-frequency radiation scattering sensitivity to surface roughness in particulate media, Comput. Part. Mech. (2016)
[25] Zohdi, T. I., On the optical thickness of disordered particulate media, Mech. Mater., 38, 969-981 (2006)
[26] Jackson, J. D., Classical electrodynamics (1998) · Zbl 0114.42903
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.