J. Arnold, S.W. Shaw, and H. Pasternack. Efficient target tracking using dynamic program-ming. IEEE Transactions on Aerospace and Electronic Systems, 29(1):44–56, Jan 1993.
Yaakov Bar-Shalom and Xiao-Rong Li. Estimation and Tracking: Principles, Techniques, and Software. YBS, Danvers, MA, 1988.
Yaakov Bar-Shalom and Xiao-Rong Li. Multitarget-Multisensor Tracking: Principles and Tech-niques. YBS, Danvers, MA, 1995.
O. Bengtsson and A.-J. Baerveldt. Localization in changing environments - estimations of a covariance matrix for the IDC algorithm. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001.
P. J. Besl and N. D. McKay. A method for registration of 3-D shapes. IEEE Transaction on Pattern Analysis and Machine Intelligence, 12(2):239–256, 1992.
Samuel Blackman and Robert Popoli. Design and Analysis of Modern Tracking Systems.
Artech House, Norwood, MA, 1999.
Andrew Blake, Ben North, and Michael Isard. Learning multi-class dynamics. In Proceed-ings of Advances in Neural Information Processing Systems, pages 389–395. MIT press, 1999.
H. A. P. Blom and Y. Bar-Shalom. The interacting multiple model algorithm for systems with markovian switching coefficients. IEEE Trans. On Automatic Control, 33(8), Aug.
1988.
Michael Bosse, Paul Newman, John Leonard, Martin Soika, Wendelin Feiten, and Seth Teller. An atlas framework for scalavle mapping. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Taipei, Taiwan, September 2003.
G. Champleboux, S. Lavallee, R. Szeliski, and L. Brunie. From accurate range imaging sensor calibration to accurate model-based 3-D object localization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 83–89, June 1992.
Y. Chen and G. Medioni. Object modeling by registration of multiple range images. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1991.
Chee-Yee Chong, David Garren, and Timothy P. Grayson. Ground target tracking - a histor-ical perspective. In Proceedings of the IEEE Aerospace Conference, volume 3, pages 433–448, March 2000.
H. Choset and K. Nagatani. Topological simultaneous localization and mapping (slam):
Toward exact localization without explicit localization. IEEE Transactions on Robotics and Automation, 17(2):125–136, April 2001.
Henrik I. Christensen, editor. Lecture Notes: SLAM Summer School 2002. 2002. URL http://www.cas.kth.se/SLAM/.
Stefano Coraluppi and Craig Carthel. Multiple-hypothesis IMM (MH-IMM) filter for mov-ing and stationary targets. In Proceedmov-ings of the International Conference on Information Fusion, pages TuB1–18–23, Montr´eal, QC, Canada, August 2001.
Stefano Coraluppi, Mark Luettgen, and Craig Carthel. A hybrid-state estimation algorithm for multi-sensor target tracking. In Proceedings of the International Conference on Informa-tion Fusion, pages TuB1–18–23, Paris, France, July 2000.
I. J. Cox and S. L. Hingorani. An efficient implemenation of Reid’s multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking. IEEE Trans. on Pattern Analysis and Machine intelligence, 18(2), Feb. 1996.
D. Crisan and A. Doucet. A survey of convergence results on particle filtering for practi-tioners. IEEE Transactions on Signal Processing, 50(3):736–746, March 2002.
Matthew C. Deans. Bearings-Only Localization and Mapping. PhD thesis, The Robotics Insti-tute, Carnegie Mellon University, Pittsburgh, PA, July 2002.
Frank Dellaert, Wolfram Burgard, Dieter Fox, and Sebastian Thrun. Using the condensa-tion algorithm for robust, vision-based mobile robot localizacondensa-tion. IEEE Computer Society Conference on Computer Vision and Pattern Recognition ( CVPR’99 ), June 1999.
Nakju Doh, Howie Choset, and Wan Kyun Chung. Accurate relative localization using odometry. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 1665–1670, 2003.
Hugh Durrant-Whyte. A critical review of the state-of-the-art in autonomous land vehicle systems and technology. Technical Report SAND 2001-3685, Sandia National Laborato-ries, November 2001.
A. Elfes. Occupancy Grids as a Spatial Representation for Mobile Robot Mapping and Navigation.
PhD thesis, Electrical and Computer Engineering/Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 1988.
Alberto Elfes. Autonomous Robot Vehicles, chapter Sonar-based real-world mapping and navigation. Springer, Berlin, 1990.
BIBLIOGRAPHY
J. Feldmar and N. Ayache. Rigid and affine registration of smooth surfaces using differen-tial properties. In Proceedings of the European Conference on Computer Vision, pages 397–406, Stockholm, Sweden, May 1994.
R. F. Fitzgerald. Simple tracking filters: Steady state filtering and smoothing performance.
IEEE Transactions on Aerospace and Electric Systems, 16:860–864, Nov. 1980.
T.E. Fortmann, Y. Bar-Shalom, and M. Scheffe. Sonar tracking of multiple targets using joint probabilistic data association. IEEE Journal of Oceanic Engineering, OE-8:173–184, July 1983.
Thor I. Fossen. Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles. Marine Cybernetics AS, 1 edition, 2002. ISBN 82-92356-00-2.
Dieter Fox, Wolfram Burgard, Frank Dellaert, and Sebastian Thrun. Monte carlo local-ization: Efficient position estimation for mobile robots. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI’99)., July 1999.
C. Fr ¨uh and A. Zakhor. Constructing 3d city models by merging ground-based and air-borne views. In IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 562–569, Madison, USA, June 2003.
Michael Garland and Paul Heckbert. Simplifying surfaces with color and texture using quadric error metrics. In Visualization ’98, October 1998.
Z. Ghahramani and G. E. Hinton. Variational learning for switching state-space models.
Neural Computation, 12(4):963–996, 1998.
H. Gish and R. Mucci. Target state estimation in a multi-target environments. IEEE Trans-actions on Aerospace and Electronic Systems, 23:60–73, Jan 1987.
J. Guivant, E. Nebot, and S. Baiker. High accuracy navigation using laser range sensors in outdoor applications. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), volume 4, pages 3817–3822, 2000.
J. E. Guivant and E. M. Nebot. Optimization of the simultaneous localization and map building algorithm for real-time implementation. IEEE Transaction on Robotics and Au-tomation, 17:242–257, June 2001.
J.-S. Gutmann and K. Konolige. Incremental mapping of large cyclic environments. In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1999.
J.-S. Gutmann and C. Schlegel. AMOS: Comparison of scan matching approaches for self-localization in indoor environments. In Proc. the 1st Euro micro Workshop on Advanced Mobile Robots. IEEE Computer Society Press, 1996.
Dirk H¨ahnel, Wolfram Burgard, Ben Wegbreit, and Sebastian Thrun. Towards lazy data association in SLAM. In Raja Chatila and Paolo Dario, editors, Proceedings of the 11th International Symposium of Robotics Research, Siena, Italy, October 2003.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning.
Springer-Verlag, 2001.
Martial Hebert. Active and passive range sensing for robotics. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), volume 1, pages 102–110, 2000.
Adam Hoover, Gillian Jean-Baptiste, Xiaoyi Jiang, Patrick J. Flynn, Horst Bunke, Dmitry Goldgof, Kevin Bowyer, David Eggert, Andrew Fitzgibbon, and Robert Fisher. An ex-perimental comparison of range image segmentation algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996.
Andrew Johnson. Spin-Images: A Representation for 3-D Surface Matching. PhD thesis, Ro-botics Institute, Carnegie Mellon University, Pittsburgh, PA, August 1997.
Michael I. Jordan. Graphical Models. 2003. Forthcoming.
S. Julier. The scaled unscented transformation, 1999. URL
citeseer.nj.nec.com/julier99scaled.html.
Simon J. Julier and Hugh F. Durrant-Whyte. On the role of process models in autonomous land vehicle navigation systems. IEEE Transactions on Robotics and Automation, 19(1):1–14, February 2003.
George A. Kantor and Sanjiv Singh. Preliminary results in range-only localization and mapping. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May 2002.
Alonzo Kelly. Some useful results for closed-form propagation of error in vehicle odome-try. Technical Report CMU-RI-TR-00-20, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, December 2000.
Alonzo Kelly and Ranjith Unnikrishnan. Efficient construction of optimal and consistent ladar maps using pose network topology and nonlinear programming. In Raja Chatila and Paolo Dario, editors, Proceedings of the 11th International Symposium of Robotics Re-search, Siena, Italy, October 2003.
T. Kirubarajan and Y. Bar-Shalom. Tracking evasive move-stop-move targets with an MTI radar using a VS-IMM estimator. In Proceedings of the SPIE Signal and Data Processing of Small Targets, volume 4048, pages 236–246, 2000.
T. Kirubarajan, Y. Bar-Shalom, K.R. Pattipati, I. Kadar, E. Eadan, and B. Abrams. Tracking ground targets with road constraints using an IMM estimator. In Proceedings of the IEEE Aerospace Conference, Snowmass, CO, March 1998.
BIBLIOGRAPHY
K. Konolige and K. Chou. Markov localization using correlation. In Proceedings of the International Joint Conference on Artificial Intelligence, 1999.
B.-U. Lee, C.-M. Kim, and R.-H. Park. An orientation reliability matrix for the iterative closest point algorithm. IEEE Trans. on Pattern Analysis and Machine intelligence, 22(10), Oct. 2002.
J. J. Leonard and H. J. S. Feder. A computationally efficient method for large-scale concur-rent mapping and localization. In D. Koditschek J. Hollerbach, editor, Proceedings of the Ninth International Symposium on Robotics Research, 1999.
John Leonard and Hugh Durrant-Whyte. Simultaneous map building and localization for an autonomous mobile robot. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, volume 3, pages 1442–1447, 1991.
X. R. Li. Tracking in clutter with strongest neighbor measurement:i-theoretical analysis.
IEEE Transactions on Automatic Control, 43(11):1560–1578, Nov 1998.
Xiao-Rong Li. Multitarget-Multisensor Tracking: Applications and Advances, volume 3, chapter 10: Engineer’s guide to variable-structure multiple-model estimation for tracking, pages 499–567. Artech House, Boston, 2000.
Xiao-Rong Li and Yaakov Bar-Shalom. Mode-set adaptation in multiple-model estimators for hybrid systems. In Proceedings of the American Control Conference, pages 1794–1799, Chicago, IL, June 1992.
Xiao-Rong Li and Yaakov Bar-Shalom. Multiple-model estimation with variable structure.
IEEE Transactions on Automatic Control, 41(4):478–493, April 1996.
Feng Lu and Evangelos Milios. Robot pose estimation in unknown environments by matching 2d range scans. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 935–938, Seattle, WA, June 1994.
Feng Lu and Evangelos Milios. Robot pose estimation in unknown environments by matching 2D range scans. Journal of Intelligent and Robotic Systems, 18(3):249–275, March 1997.
David MacKay. Information Theory, Inference, and Learning Algorithms. Cambridge Univer-sity Press, 2003.
S. Majumder, H. Durrant-Whyte, S. Thrun, and M. de Battista. An approximate bayesian method for simultaneous localization and mapping. Submitted to IEEE Trans. Robotics and Automation, 2002.
Martin C. Martin and Hans Moravec. Robot evidence grids. Technical Report CMU-RI-TR-96-06, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, March 1996.
Larry Matthies and Alberto Elfes. Integration of sonar and stereo range data using a grid-based representation. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 727–733, Philadelphia, Pennsylvania, USA, 1988.
E. Mazor, A. Averbuch, Y. Bar-Shalom, and J. Dayan. Interacting multiple model methods in target tracking: A survey. IEEE Transactions on Aerospace and Electronic Systems, 34(1):
103–123, January 1998.
Donald McLean. Automatic Flight Control Systems. Prentice-Hall International (UK) Ltd., 1990.
C. H. Menq, H. T. Yau, and G. Y. Lai. Automated percision measurement of surface profile in CAD-directed inspection. IEEE Transaction on Robotics and Automation, 8(2):268–278, 1992.
Michael Montemerlo. FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem with Unknown Data Association. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, July 2003.
Kevin Murphy. Dynamic Bayesian Networks: Representation, Inference and Learning. PhD thesis, UC Berkeley, Computer Science Division, July 2002.
Paul M. Newman and John J. Leonard. Pure range-only subsea slam. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), September 2003.
Clark F. Olson. Probabilistic self-localization for mobile robots. IEEE Transactions on Robotics and Automation, 16(1):55–66, February 2000.
Mark A. Paskin. Thin junction tree filters for simultaneous localization and mapping. In G. Gottlob and T. Walsh, editors, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), pages 1157–1164, 2003.
V. Pavlovic, B. Frey, and T. S. Huang. Time series classification using mixed-state dynamic bayesian networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1999.
X. Pennec and J.-P. Thirion. A framework for uncertainty and validation of 3-D registration methods based on points and frames. International Journal of Computer Vision, 1997.
S. T. Pfister, S. I. Roumeliotis, and J. W. Burdick. Weighted line fitting algorithms for mobile robot map building and efficient data representation. In Proceedings of the IEEE Interna-tional Conference on Robotics and Automation (ICRA), Taipei, Taiwan, September 2003.
Joelle Pineau and Sebastian Thrun. An integrated approach to hierarchy and abstraction for pomdps. Technical Report CMU-RI-TR-02-21, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, August 2002.
BIBLIOGRAPHY
A.B. Poore. Multidimensional assignment formulation of data association problems arising from multitarget and multisensor tracking. Computational Optimization and Applications, 3:27–57, 1994.
M. Potmesil. Generating models of solid objects by matching 3d surface segments. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 1089–1093, Aug 1983.
D. B. Reid. An algorithm for tracking multiple targets. IEEE Trans. On Automatic Control, 24(6), Dec. 1979.
S. Rogers. Tracking mulitple targets with correlated measurements and maneuvers. IEEE Transactions on Aerospace and Electronic Systems, AES-24(3):313–315, May 1988.
Nicholas Roy. Finding Approximate POMDP solutions Through Belief Compression. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, September 2003.
S. Rusinkiewicz and M. Levoy. Efficient variants of the icp algorithms. In Proc. the Third Int. Conf. on 3-D Digital Imaging and Modeling, pages 145–152, May 2001.
D. Schulz, W. Burgard, D. Fox, and A. B. Cremers. Tracking multiple moving targets with a mobile robot using particle filters and statistical data association. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 1665–1670, 2001.
Peter J. Shea, Tim Zadra, Dale Klamer, Ellen Frangione, and Rebecca Brouillard. Percision tracking of ground targets. In Proceedings of the IEEE Aerospace Conference, volume 3, pages 473–482, March 2000.
Sick Optics. LMS 200/211/220/221/291 Laser Measurement Systems Technical Descrip-tion, 2003. URLhttp://www.sickusa.com/Publish/docroot/Manual(s)/LMS Technical Description.pdf.
David Simon. Fast and Accurate Shape-Based Registration. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, December 1996.
R. W. Sittler. An optimal data association problem in surveillance theory. IEEE Transactions on Military Electronics, MIL-8:125–139, April 1964.
Randall C. Smith and Peter Cheeseman. On the representation and estimation of spatial uncertainty. International Journal of Robotics Research, 5(4):56–58, 1986.
Randall C. Smith, Matthew Self, and Peter Cheeseman. Autonomous Robot Vehicles, chapter Estimating Uncertain Spatial Relationships in Robotics. Springer, Berlin, 1990.
Benjamin Stewart, Jonathan Ko, Dieter Fox, and Kurt Konolige. The revisiting problem in mobile robot map building: A hierarchical bayesian approach. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), Siena, Italy, 2003.
A. J. Stoddart, S. Lemke, A. Hilton, and T. Renn. Estimating pose uncertainty for surface registration. In British Machine Vision Conference, 1996.
Chuck Thorpe and Hugh Durrant-Whyte. Field robots. In the 10th International Symposium of Robotics Research, Lorne, Victoria, Australia, November 2001. Springer-Verlag.
S. Thrun, W. Burgard, and D. Fox. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping. In Proceedings of the IEEE International Con-ference on Robotics and Automation (ICRA), San Francisco, CA, 2000.
S. Thrun, D. Koller, Z. Ghahramani, H. Durrant-Whyte, and A.Y. Ng. Simultaneous map-ping and localization with sparse extended information filters:theory and initial results.
Technical Report CMU-CS-02-112, Carnegie Mellon University, Computer Science De-partment, Pittsburgh, PA, September 2002.
Sebastian Thrun. Robotic mapping: A survey. Technical Report CMU-CS-02-111, School of Computer Science, Carnegie Mellon University, Pittsburgh, February 2002.
Sebastian Thrun, Dieter Fox, and Wolfram Burgard. A probabilistic approach to concurrent mapping and localization for mobile robots. Machine Learning, 1998.
Sebastian Thrun and Yufeng Liu. Multi-robot SLAM with sparse extended information filers. In Raja Chatila and Paolo Dario, editors, Proceedings of the 11th International Sym-posium of Robotics Research, Siena, Italy, October 2003.
J. K. Tugnait. Detection and estimation for abruptly changing systems. Automatica, 18:
607–615, 1982.
G. Turk and M. Levoy. Zippered polygon meshes fram range images. In Proceedings of SIG-GRAPH, pages 311–318, Orlando, FL, July 1994.
Naonori Ueda and Zoubin Ghahramani. Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks, 15:1223–1241, 2002.
Vandi Verma, Sebastian Thrun, and Reid Simmons. Variable resolution particle filter. In International Joint Conference on Artificial Intelligence. AAAI, August 2003.
E. Wan and R. van der Merwe. The unscented kalman filter for nonlinear estimation. In Proceedings of IEEE Symposium 2000 (AS-SPCC), Lake Louise, Alberta, Canada, Oct. 2000.
Chieh-Chih Wang. Modeling and control of autonomous underwater vehicles. Master’s thesis, National Taiwan University, July 1996.
Chieh-Chih Wang and Charles Thorpe. Simultaneous localization and mapping with de-tection and tracking of moving objects. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Washington, DC, May 2002.
Chieh-Chih Wang, Charles Thorpe, and Arne Suppe. Ladar-based detection and tracking of moving objects from a ground vehicle at high speeds. In Proceedings of the IEEE Intelligent
BIBLIOGRAPHY
Vehicles Symposium, Columbus, OH, June 2003a.
Chieh-Chih Wang, Charles Thorpe, and Sebastian Thrun. Online simultaneous localization and mapping with detection and tracking of moving objects: Theory and results from a ground vehicle in crowded urban areas. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Taipei, Taiwan, September 2003b.
J. Y. Wong. Theory of Ground Vehicles. John Wiley & Sons, Inc., 3rd edition, 2001.
Z. Zhang. Iterative point matching for registration of free-form curves and surfaces. Int. J.
of Computer Vision, 12(2):119–152, 1994.
H. Zhao and R. Shibasaki. Reconstructing urban 3d model using vehicle-borne laser range scanners. In Proc. the Third Int. Conf. on 3-D Digital Imaging and Modeling, pages 349–356, May 2001.