1. Amigoni, F. and Vailati, M. 2009. A method for reducing redundant line segments in maps. InProceedings of the Fourth European Conference on Mobile Robots(Croatia, September 23-25, 2009). ECMR'09, KoREMA, 61--66. DOI=http://dblp.unitrier.de/db/conf/ecmr/ecmr2009.html#AmigoniV09
2. Baker, J. E. 1987. Reducing bias and inefficiency in the selection algorithm. InProceedings of the Second International Conference on Genetic Algorithms and their Application(Cambridge, Massachusetts, USA, 1987) L. Erlbaum Associates Inc., 14--21. DOI= http://dl.acm.org/citation.cfm?id=42512.42515.
3. Choi. Y-H., Lee. T-K. and Oh, S-Y. 2008. A line feature based SLAM with low grade range sensors using geometric constraints and active exploration for mobile robot.Auton Robot.24, 1 (January, 2008) 13--27. DOI= 10.1007/s10514-007-9050-y.
4. Dellaert, F., Fox, D., Burgard, W. and Thrun, S. 1999. Monte Carlo localization for mobile robots. InProceedings of the IEEE International Conference on Robotics and Automation(Detroit, USA, May. 10-15, 1999). ICRA'99, IEEE, 1322--1328. DOI=10.1109/ROBOT.1999.772544.
5. Dubuisson, M. P. and Jain, A. K. 1994. A modified Hausdorff distance for object matching. InProceedings of the International Conference on Pattern Recognition(Jerusalem, Israel, October 09-13, 1994). ICPR'94, IEEE, 566--568. DOI=http://dx.doi.org/10.1109/ICPR.1994.576361.