Skip to main content
Top

2008 | OriginalPaper | Chapter

22. Range Sensors

Authors : Robert B. Fisher, PhD, Kurt Konolige, Prof

Published in: Springer Handbook of Robotics

Publisher: Springer Berlin Heidelberg

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Range sensors are devices that capture the three-dimensional (3-D) structure of the world from the viewpoint of the sensor, usually measuring the depth to the nearest surfaces. These measurements could be at a single point, across a scanning plane, or a full image with depth measurements at every point. The benefits of this range data is that a robot can be reasonably certain where the real world is, relative to the sensor, thus allowing the robot to more reliably find navigable routes, avoid obstacles, grasp objects, act on industrial parts, etc.
This chapter introduces the main representations for range data (point sets, triangulated surfaces, voxels), the main methods for extracting usable features from the range data (planes, lines, triangulated surfaces), the main sensors for acquiring it (Sect. 22.1 – stereo and laser triangulation and ranging systems), how multiple observations of the scene, e.g., as if from a moving robot, can be registered (Sect. 22.2), and several indoor and outdoor robot applications where range data greatly simplifies the task (Sect. 22.3).

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
22.2.
go back to reference R. Hartley, A. Zisserman: Multiple view geometry in computer vision (Cambridge Univ. Press, Cambridge 2000)MATH R. Hartley, A. Zisserman: Multiple view geometry in computer vision (Cambridge Univ. Press, Cambridge 2000)MATH
22.3.
go back to reference S. Barnard, M. Fischler: Computational stereo, ACM Comput. Surv. 14(4), 553–572 (1982)CrossRef S. Barnard, M. Fischler: Computational stereo, ACM Comput. Surv. 14(4), 553–572 (1982)CrossRef
22.4.
go back to reference K. Konolige: Small vision system. hardware and implementation, Proc. Int. Symp. Robot. Res. (Hayama 1997) pp. 111–116 K. Konolige: Small vision system. hardware and implementation, Proc. Int. Symp. Robot. Res. (Hayama 1997) pp. 111–116
22.5.
go back to reference D. Scharstein, R. Szeliski, R. Zabih: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Int. J. Comput. Vis. 47(1/2/3), 7–42 (2002)CrossRefMATH D. Scharstein, R. Szeliski, R. Zabih: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Int. J. Comput. Vis. 47(1/2/3), 7–42 (2002)CrossRefMATH
22.7.
go back to reference R. Zabih, J. Woodfill: Non-parametric local transforms for computing visual correspondence, Proc. Eur. Conf. on Computer Vision, Vol. 2 (Stockholm 1994) pp. 151–158 R. Zabih, J. Woodfill: Non-parametric local transforms for computing visual correspondence, Proc. Eur. Conf. on Computer Vision, Vol. 2 (Stockholm 1994) pp. 151–158
22.8.
go back to reference O. Faugeras, B. Hotz, H. Mathieu, T. Viéville, Z. Zhang, P. Fua, E. Théron, L. Moll, G. Berry, J. Vuillemin, P. Bertin, C. Proy: Real time correlation based stereo: algorithm implementations and applications, Tech. Report RR-2013, INRIA (1993) O. Faugeras, B. Hotz, H. Mathieu, T. Viéville, Z. Zhang, P. Fua, E. Théron, L. Moll, G. Berry, J. Vuillemin, P. Bertin, C. Proy: Real time correlation based stereo: algorithm implementations and applications, Tech. Report RR-2013, INRIA (1993)
22.9.
go back to reference M. Okutomi, T. Kanade: A multiple-baseline stereo, IEEE Trans. Patt. Anal. Mach. Intell. 15(4), 353–363 (1993)CrossRef M. Okutomi, T. Kanade: A multiple-baseline stereo, IEEE Trans. Patt. Anal. Mach. Intell. 15(4), 353–363 (1993)CrossRef
22.10.
go back to reference L. Matthies: Stereo vision for planetary rovers: stochastic modeling to near realtime implementation, Int. J. Comput. Vis. 8(1), 71–91 (1993)CrossRefMathSciNet L. Matthies: Stereo vision for planetary rovers: stochastic modeling to near realtime implementation, Int. J. Comput. Vis. 8(1), 71–91 (1993)CrossRefMathSciNet
22.11.
go back to reference R. Bolles, J. Woodfill: Spatiotemporal consistency checking of passive range data, Proc. Int. Symp. on Robotics Research (Hidden Valley 1993) R. Bolles, J. Woodfill: Spatiotemporal consistency checking of passive range data, Proc. Int. Symp. on Robotics Research (Hidden Valley 1993)
22.12.
go back to reference P. Fua: A parallel stereo algorithm that produces dense depth maps and preserves image features, Mach. Vis. Appl. 6(1), 35–49 (1993)CrossRef P. Fua: A parallel stereo algorithm that produces dense depth maps and preserves image features, Mach. Vis. Appl. 6(1), 35–49 (1993)CrossRef
22.13.
go back to reference H. Moravec: Visual mapping by a robot rover, Proc. Int. Joint Conf. on AI (IJCAI) (Tokyo 1979) pp. 598–600 H. Moravec: Visual mapping by a robot rover, Proc. Int. Joint Conf. on AI (IJCAI) (Tokyo 1979) pp. 598–600
22.14.
go back to reference A. Adan, F. Molina, L. Morena: Disordered patterns projection for 3D motion recovering, Proc. Int. Conf. on 3D Data Processing, Visualization and Transmission (Thessaloniki 2004) pp. 262–269 A. Adan, F. Molina, L. Morena: Disordered patterns projection for 3D motion recovering, Proc. Int. Conf. on 3D Data Processing, Visualization and Transmission (Thessaloniki 2004) pp. 262–269
22.16.
go back to reference C. Zach, A. Klaus, M. Hadwiger, K. Karner: Accurate dense stereo reconstruction using graphics hardware, Proc. EUROGRAPHICS (Granada 2003) pp. 227–234 C. Zach, A. Klaus, M. Hadwiger, K. Karner: Accurate dense stereo reconstruction using graphics hardware, Proc. EUROGRAPHICS (Granada 2003) pp. 227–234
22.17.
go back to reference R. Yang, M. Pollefeys: Multi-resolution real-time stereo on commodity graphics hardware, Int. Conf. Computer Vision and Pattern Recognition, Vol. 1 (Madison 2003) pp. 211–217 R. Yang, M. Pollefeys: Multi-resolution real-time stereo on commodity graphics hardware, Int. Conf. Computer Vision and Pattern Recognition, Vol. 1 (Madison 2003) pp. 211–217
22.20.
go back to reference S.K. Nayar, Y. Nakagawa: Shape from focus, IEEE Trans. Patt. Anal. Mach. Intell. 16(8), 824–831 (1994)CrossRef S.K. Nayar, Y. Nakagawa: Shape from focus, IEEE Trans. Patt. Anal. Mach. Intell. 16(8), 824–831 (1994)CrossRef
22.21.
go back to reference M. Pollefeys, R. Koch, L. Van Gool: Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters, Int. J. Comput. Vis. 32(1), 7–25 (1999)CrossRef M. Pollefeys, R. Koch, L. Van Gool: Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters, Int. J. Comput. Vis. 32(1), 7–25 (1999)CrossRef
22.22.
go back to reference A. Hertzmann, S.M. Seitz: Example-based photometric stereo: Shape reconstruction with general, varying BRDFs, IEEE Trans. Patt. Anal. Mach. Intell. 27(8), 1254–1264 (2005)CrossRef A. Hertzmann, S.M. Seitz: Example-based photometric stereo: Shape reconstruction with general, varying BRDFs, IEEE Trans. Patt. Anal. Mach. Intell. 27(8), 1254–1264 (2005)CrossRef
22.23.
go back to reference A. Lobay, D.A. Forsyth: Shape from texture without boundaries, Int. J. Comput. Vis. 67(1), 71–91 (2006)CrossRef A. Lobay, D.A. Forsyth: Shape from texture without boundaries, Int. J. Comput. Vis. 67(1), 71–91 (2006)CrossRef
22.24.
go back to reference F. Blais: Review of 20 years of range sensor development, J. Electron. Imag. 13(1), 231–240 (2004)CrossRef F. Blais: Review of 20 years of range sensor development, J. Electron. Imag. 13(1), 231–240 (2004)CrossRef
22.25.
go back to reference R. Baribeau, M. Rioux, G. Godin: Color reflectance modeling using a polychromatic laser range sensor, IEEE Trans. Patt. Anal. Mach. Intell. 14(2), 263–269 (1992)CrossRef R. Baribeau, M. Rioux, G. Godin: Color reflectance modeling using a polychromatic laser range sensor, IEEE Trans. Patt. Anal. Mach. Intell. 14(2), 263–269 (1992)CrossRef
22.26.
go back to reference D. Anderson, H. Herman, A. Kelly: Experimental Characterization of Commercial Flash Ladar Devices, Int. Conf. of Sensing and Technology (Palmerston North 2005) pp. 17–23 D. Anderson, H. Herman, A. Kelly: Experimental Characterization of Commercial Flash Ladar Devices, Int. Conf. of Sensing and Technology (Palmerston North 2005) pp. 17–23
22.28.
go back to reference J.J. LeMoigne, A.M. Waxman: Structured light patterns for robot mobility, Robot. Autom. 4, 541–548 (1988)CrossRef J.J. LeMoigne, A.M. Waxman: Structured light patterns for robot mobility, Robot. Autom. 4, 541–548 (1988)CrossRef
22.29.
go back to reference R.B. Fisher, D.K. Naidu: A Comparison of Algorithms for Subpixel Peak Detection. In: Image Technology, ed. by J. Sanz (Springer, Berlin, Heidelberg 1996) R.B. Fisher, D.K. Naidu: A Comparison of Algorithms for Subpixel Peak Detection. In: Image Technology, ed. by J. Sanz (Springer, Berlin, Heidelberg 1996)
22.30.
go back to reference J.D. Foley, A. van Dam, S.K. Feiner, J.F. Hughes: Computer Graphics: principles and practice (Addison Wesley, Reading 1996)MATH J.D. Foley, A. van Dam, S.K. Feiner, J.F. Hughes: Computer Graphics: principles and practice (Addison Wesley, Reading 1996)MATH
22.31.
go back to reference B. Curless, M. Levoy: A Volumetric Method for Building Complex Models from Range Images, Proc. of Int. Conf. on Comput. Graph. and Inter. Tech. (SIGGRAPH) (New Orleans 1996) pp. 303–312 B. Curless, M. Levoy: A Volumetric Method for Building Complex Models from Range Images, Proc. of Int. Conf. on Comput. Graph. and Inter. Tech. (SIGGRAPH) (New Orleans 1996) pp. 303–312
22.32.
go back to reference A. Hoover, G. Jean-Baptiste, X. Jiang, P.J. Flynn, H. Bunke, D. Goldgof, K. Bowyer, D. Eggert, A. Fitzgibbon, R. Fisher: An experimental comparison of range segmentation algorithms, IEEE Trans. Patt. Anal. Mach. Intell. 18(7), 673–689 (1996)CrossRef A. Hoover, G. Jean-Baptiste, X. Jiang, P.J. Flynn, H. Bunke, D. Goldgof, K. Bowyer, D. Eggert, A. Fitzgibbon, R. Fisher: An experimental comparison of range segmentation algorithms, IEEE Trans. Patt. Anal. Mach. Intell. 18(7), 673–689 (1996)CrossRef
22.33.
go back to reference M.A. Fischler, R.C. Bolles: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM 24(6), 381–395 (1981)CrossRefMathSciNet M.A. Fischler, R.C. Bolles: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM 24(6), 381–395 (1981)CrossRefMathSciNet
22.34.
go back to reference H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, W. Stuetzle: Surface reconstruction from unorganized points, Comput. Graph. 26(2), 71–78 (1992)CrossRef H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, W. Stuetzle: Surface reconstruction from unorganized points, Comput. Graph. 26(2), 71–78 (1992)CrossRef
22.35.
go back to reference A. Hilton, A. Stoddart, J. Illingworth, T. Windeatt: Implicit surface-based geometric fusion, Comput. Vis. Image Under. 69(3), 273–291 (1998)CrossRef A. Hilton, A. Stoddart, J. Illingworth, T. Windeatt: Implicit surface-based geometric fusion, Comput. Vis. Image Under. 69(3), 273–291 (1998)CrossRef
22.36.
go back to reference H. Hoppe: New quadric metric for simplifying meshes with appearance attributes, IEEE Visualization 1999 Conference (San Francisco 1999) pp. 59–66 H. Hoppe: New quadric metric for simplifying meshes with appearance attributes, IEEE Visualization 1999 Conference (San Francisco 1999) pp. 59–66
22.37.
go back to reference W.J. Schroeder, J.A. Zarge, W.E. Lorensen: Decimation of triangle meshes, Proc. of Int. Conf. on Comput. Graph. and Inter. Tech. (SIGGRAPH) (Chicago 1992) pp. 65–70 W.J. Schroeder, J.A. Zarge, W.E. Lorensen: Decimation of triangle meshes, Proc. of Int. Conf. on Comput. Graph. and Inter. Tech. (SIGGRAPH) (Chicago 1992) pp. 65–70
22.38.
go back to reference S. Thrun: A probabilistic online mapping algorithm for teams of mobile robots, Int. J. Robot. Res. 20(5), 335–363 (2001)CrossRef S. Thrun: A probabilistic online mapping algorithm for teams of mobile robots, Int. J. Robot. Res. 20(5), 335–363 (2001)CrossRef
22.39.
go back to reference J. Little, S. Se, D. Lowe: Vision based mobile robot localization and mapping using scale-invariant features, Proc. IEEE Inf. Conf. on Robotics and Automation (Seoul 2001) pp. 2051–2058 J. Little, S. Se, D. Lowe: Vision based mobile robot localization and mapping using scale-invariant features, Proc. IEEE Inf. Conf. on Robotics and Automation (Seoul 2001) pp. 2051–2058
22.40.
go back to reference E. Grimson: Object Recognition by Computer: The Role of Geometric Constraints (MIT Press, London 1990) E. Grimson: Object Recognition by Computer: The Role of Geometric Constraints (MIT Press, London 1990)
22.41.
go back to reference P.J. Besl, N.D. McKay: A method for registration of 3D shapes, IEEE Trans. Patt. Anal. Mach. Intell. 14(2), 239–256 (1992)CrossRef P.J. Besl, N.D. McKay: A method for registration of 3D shapes, IEEE Trans. Patt. Anal. Mach. Intell. 14(2), 239–256 (1992)CrossRef
22.42.
go back to reference G. Turk, M. Levoy: Zippered Polygon Meshes from Range Images, Proc. of Int. Conf. on Comput. Graph. and Inter. Tech. (SIGGRAPH) (Orlando 1994) pp. 311–318 G. Turk, M. Levoy: Zippered Polygon Meshes from Range Images, Proc. of Int. Conf. on Comput. Graph. and Inter. Tech. (SIGGRAPH) (Orlando 1994) pp. 311–318
22.43.
go back to reference S. Thrun, W. Burgard, D. Fox: Probabilistic Robotics (MIT Press, Cambridge 2005)MATH S. Thrun, W. Burgard, D. Fox: Probabilistic Robotics (MIT Press, Cambridge 2005)MATH
22.44.
go back to reference D. Haehnel, D. Schulz, W. Burgard: Mapping with mobile robots in populated environments, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Vol. 1 (Lausanne 2002) pp. 496–501 D. Haehnel, D. Schulz, W. Burgard: Mapping with mobile robots in populated environments, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Vol. 1 (Lausanne 2002) pp. 496–501
22.45.
go back to reference K. Konolige, K. Chou: Markov localization using correlation, Proc. Int. Joint Conf. on AI (IJCAI) (Stockholm 1999) pp. 1154–1159 K. Konolige, K. Chou: Markov localization using correlation, Proc. Int. Joint Conf. on AI (IJCAI) (Stockholm 1999) pp. 1154–1159
22.46.
go back to reference D. Haehnel, W. Burgard: Probabilistic Matching for 3D Scan Registration, Proc. of the VDI-Conference Robotik 2002 (Robotik) (Ludwigsburg 2002) D. Haehnel, W. Burgard: Probabilistic Matching for 3D Scan Registration, Proc. of the VDI-Conference Robotik 2002 (Robotik) (Ludwigsburg 2002)
22.47.
go back to reference F. Lu, E. Milios: Globally consistent range scan alignment for environment mapping, Auton. Robot. 4, 333–349 (1997)CrossRef F. Lu, E. Milios: Globally consistent range scan alignment for environment mapping, Auton. Robot. 4, 333–349 (1997)CrossRef
22.48.
go back to reference K. Konolige: Large-scale map-making, Proceedings of the National Conference on AI (AAAI) (San Jose 2004) pp. 457–463 K. Konolige: Large-scale map-making, Proceedings of the National Conference on AI (AAAI) (San Jose 2004) pp. 457–463
22.49.
go back to reference A. Kelly, R. Unnikrishnan: Efficient Construction of Globally Consistent Ladar Maps using Pose Network Topology and Nonlinear Programming, Proc. Int. Symp of Robotics Research (Siena 2003) A. Kelly, R. Unnikrishnan: Efficient Construction of Globally Consistent Ladar Maps using Pose Network Topology and Nonlinear Programming, Proc. Int. Symp of Robotics Research (Siena 2003)
22.50.
go back to reference K.S. Arun, T.S. Huang, S.D. Blostein: Least-squares fitting of two 3-D point sets, IEEE Trans. Patt. Anal. Mach. Intell. 9(5), 698–700 (1987)CrossRef K.S. Arun, T.S. Huang, S.D. Blostein: Least-squares fitting of two 3-D point sets, IEEE Trans. Patt. Anal. Mach. Intell. 9(5), 698–700 (1987)CrossRef
22.51.
go back to reference Z. Zhang: Parameter estimation techniques: a tutorial with application to conic fitting, Image Vis. Comput. 15, 59–76 (1997)CrossRef Z. Zhang: Parameter estimation techniques: a tutorial with application to conic fitting, Image Vis. Comput. 15, 59–76 (1997)CrossRef
22.52.
go back to reference P. Benko, G. Kos, T. Varady, L. Andor, R.R. Martin: Constrained fitting in reverse engineering, Comput. Aided Geom. Des. 19, 173–205 (2002)CrossRefMathSciNet P. Benko, G. Kos, T. Varady, L. Andor, R.R. Martin: Constrained fitting in reverse engineering, Comput. Aided Geom. Des. 19, 173–205 (2002)CrossRefMathSciNet
22.53.
go back to reference M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, D. Koller, L. Pereira, M. Ginzton, S. Anderson, J. Davis, J. Ginsberg, J. Shade, D. Fulk: The Digital Michelangelo Project: 3D Scanning of Large Statues, Proc. 27th Conf. on Computer graphics and interactive techniques (SIGGRAPH) (New Orleans 2000) pp. 131–144 M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, D. Koller, L. Pereira, M. Ginzton, S. Anderson, J. Davis, J. Ginsberg, J. Shade, D. Fulk: The Digital Michelangelo Project: 3D Scanning of Large Statues, Proc. 27th Conf. on Computer graphics and interactive techniques (SIGGRAPH) (New Orleans 2000) pp. 131–144
22.54.
go back to reference I. Stamos, P. Allen: 3-D Model Construction Using Range and Image Data, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Vol. 1 (Hilton Head Island 2000) pp. 531–536 I. Stamos, P. Allen: 3-D Model Construction Using Range and Image Data, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Vol. 1 (Hilton Head Island 2000) pp. 531–536
22.55.
go back to reference R. Triebel, P. Pfaff, W. Burgard: Multi-level surface maps for outdoor terrain mapping and loop closing, Proc. of the IEEE Int. Conf. on Intel. Robots and Systems (IROS) (Beijing 2006) R. Triebel, P. Pfaff, W. Burgard: Multi-level surface maps for outdoor terrain mapping and loop closing, Proc. of the IEEE Int. Conf. on Intel. Robots and Systems (IROS) (Beijing 2006)
22.56.
go back to reference S. Thrun, W. Burgard, D. Fox: A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping, Proc. IEEE Inf. Conf. on Robotics and Automation (San Francisco 2000) pp. 321–328 S. Thrun, W. Burgard, D. Fox: A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping, Proc. IEEE Inf. Conf. on Robotics and Automation (San Francisco 2000) pp. 321–328
22.57.
go back to reference Y. Liu, R. Emery, D. Chakrabarti, W. Burgard, S. Thrun: Using EM to Learn 3D Models of Indoor Environments with Mobile Robots, Proc.Int. Conf. on Machine Learning (Williamstown 2001) pp. 329–336 Y. Liu, R. Emery, D. Chakrabarti, W. Burgard, S. Thrun: Using EM to Learn 3D Models of Indoor Environments with Mobile Robots, Proc.Int. Conf. on Machine Learning (Williamstown 2001) pp. 329–336
22.58.
go back to reference M. Agrawal, K. Konolige, L. Iocchi: Real-time detection of independent motion using stereo, IEEE Workshop on Motion (Breckenridge 2005) pp. 207–214 M. Agrawal, K. Konolige, L. Iocchi: Real-time detection of independent motion using stereo, IEEE Workshop on Motion (Breckenridge 2005) pp. 207–214
22.60.
go back to reference S. Thrun, M. Montemerlo, H. Dahlkamp et al.: Stanley: The robot that won the DARPA Grand Challenge, J. Field Robot. 23(9), 661–670 (2006)CrossRef S. Thrun, M. Montemerlo, H. Dahlkamp et al.: Stanley: The robot that won the DARPA Grand Challenge, J. Field Robot. 23(9), 661–670 (2006)CrossRef
22.61.
go back to reference C. Eveland, K. Konolige, R. Bolles: Background modeling for segmentation of video-rate stereo sequences, Proc. Int. Conf. on Computer Vision and Pattern Recog (Santa Barbara 1998) pp. 266–271 C. Eveland, K. Konolige, R. Bolles: Background modeling for segmentation of video-rate stereo sequences, Proc. Int. Conf. on Computer Vision and Pattern Recog (Santa Barbara 1998) pp. 266–271
22.62.
go back to reference K. Konolige, M. Agrawal, R.C. Bolles, C. Cowan, M. Fischler, B. Gerkey: Outdoor mapping and Navigation using Stereo Vision, Intl. Symp. on Experimental Robotics (ISER) (Rio de Janeiro 2006) K. Konolige, M. Agrawal, R.C. Bolles, C. Cowan, M. Fischler, B. Gerkey: Outdoor mapping and Navigation using Stereo Vision, Intl. Symp. on Experimental Robotics (ISER) (Rio de Janeiro 2006)
22.63.
go back to reference J. Lalonde, N. Vandapel, D. Huber, M. Hebert: Natural terrain classification using three-dimensional ladar data for ground robot mobility, J. Field Robot. 23(10), 839–861 (2006)CrossRef J. Lalonde, N. Vandapel, D. Huber, M. Hebert: Natural terrain classification using three-dimensional ladar data for ground robot mobility, J. Field Robot. 23(10), 839–861 (2006)CrossRef
22.64.
go back to reference J.-F. Lalonde, N. Vandapel, M. Hebert: Data structure for efficient processing in 3-D, Robotics: Science and Systems 1, Cambridge (2005) J.-F. Lalonde, N. Vandapel, M. Hebert: Data structure for efficient processing in 3-D, Robotics: Science and Systems 1, Cambridge (2005)
22.65.
go back to reference M. Happold, M. Ollis, N. Johnson: enhancing supervised terrain classification with predictive unsupervised learning, Robotics: Science and Systems (Philadelphia 2006) M. Happold, M. Ollis, N. Johnson: enhancing supervised terrain classification with predictive unsupervised learning, Robotics: Science and Systems (Philadelphia 2006)
22.66.
go back to reference R. Manduchi, A. Castano, A. Talukder, L. Matthies: Obstacle detection and terrain classification for autonomous off-road navigation, Auton. Robot. 18, 81–102 (2005)CrossRef R. Manduchi, A. Castano, A. Talukder, L. Matthies: Obstacle detection and terrain classification for autonomous off-road navigation, Auton. Robot. 18, 81–102 (2005)CrossRef
22.67.
go back to reference A. Kelly, A. Stentz, O. Amidi, M. Bode, D. Bradley, A. Diaz-Calderon, M. Happold, H. Herman, R. Mandelbaum, T. Pilarski, P. Rander, S. Thayer, N. Vallidis, R. Warner: Toward reliable off road autonomous vehicles operating in challenging environments, Int. J. Robot. Res. 25(5–6), 449–483 (2006)CrossRef A. Kelly, A. Stentz, O. Amidi, M. Bode, D. Bradley, A. Diaz-Calderon, M. Happold, H. Herman, R. Mandelbaum, T. Pilarski, P. Rander, S. Thayer, N. Vallidis, R. Warner: Toward reliable off road autonomous vehicles operating in challenging environments, Int. J. Robot. Res. 25(5–6), 449–483 (2006)CrossRef
22.68.
go back to reference P. Bellutta, R. Manduchi, L. Matthies, K. Owens, A. Rankin: Terrain Perception for Demo III, Proc. of the 2000 IEEE Intelligent Vehicles Conf. (Dearborn 2000) pp. 326–331 P. Bellutta, R. Manduchi, L. Matthies, K. Owens, A. Rankin: Terrain Perception for Demo III, Proc. of the 2000 IEEE Intelligent Vehicles Conf. (Dearborn 2000) pp. 326–331
Metadata
Title
Range Sensors
Authors
Robert B. Fisher, PhD
Kurt Konolige, Prof
Copyright Year
2008
DOI
https://doi.org/10.1007/978-3-540-30301-5_23