T. K. Lee, S. H. Baek, Y. H. Choi, and S. Y. Oh, "Smooth coverage path planning and control of mobile robots based on high-resolution grid map representation," Robot. Auton. Syst., vol.59, no.10, pp.801-812, Oct.2011.
 H. T. Cheng, H. P. Chen, and Y. Liu, "Topological indoor localization and navigation for autonomous mobile robot," IEEE Trans. Automat. Sci. Eng., vol.12, no.2, pp.729-738, Apr.2015.
 I. J. Cox and J. J. Leonard, "Modeling a dynamic environment using a Bayesian multiple hypothesis approach," Artif. Intell., vol.66, no.2, pp.311-344, Apr.1994.
 B. H. Guo and Z. H. Li, "Dynamic environment modeling of mobile robots based on visual saliency," Control Theory Appl., vol.30, no.7, pp.821-827, Jul.2013.
 R. Sim and J. J. Little, "Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters," in Proc. 2006 IEEE/RSJ Int. Conf. Intelligent Robots and Systems, Beijing, China, 2006, pp.2082-2089.
 Y. N. Wang, Y. M. Yang, X. F. Yuan, Y. Zuo, Y. L. Zhou, F. Yin, and L. Tan, "Autonomous mobile robot navigation system designed in dynamic environment based on transferable belief model," Measurement, vol.44, no.8, pp.1389-1405, Oct.2011.
 A. A. S. Souza, R. Maia, and L. M. G. Gonçalves, "3-D probabilistic occupancy grid to robotic mapping with stereo vision," in Current Advancements in Stereo Vision, A. Bhatti, Ed. Croacia:INTECH, 2012, pp.181-198.
 D. Hähnel, W. Burgard, and S. Thrun, "Learning compact 3-D models of indoor and outdoor environments with a mobile robot," Robot. Auton. Syst., vol.44, no.1, pp.15-27, Jul.2003.
 K. Pirker, M. Rüther, H. Bischof, and G. Schweighofer, "Fast and accurate environment modeling using three-dimensional occupancy grids," in Proc. 2011 IEEE Int. Conf. Computer Vision Workshops, Barcelona, Spain, 2011, pp.1134-1140.
 S. Kim and J. Kim, "Occupancy mapping and surface reconstruction using local gaussian processes with Kinect sensors," IEEE Trans. Cybern., vol.43, no.5, pp.1335-1346, Oct.2013.
 Y. Zhuang, N. Jiang, H. S. Hu, and F. Yan, "3-D-laser-based scene measurement and place recognition for mobile robots in dynamic indoor environments," IEEE Trans. Instrum. Meas., vol.62, no.2, pp.438-450, Feb.2013.
 F. Endres, J. Hess, J. Sturm, D. Cremers, and W. Burgard, "3-D mapping with an RGB-D camera," IEEE Trans. Robot., vol.30, no.1, pp.177-187, Feb.2014.
 L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol.20, no.11, pp.1254——1259, Nov.1998.
 A. Kimura, R. Yonetani, and T. Hirayama, "Computational models of human visual attention and their implementations:A survey," IEICE Trans. Inf. Syst., vol.E96-D, no.3, pp.562-578, Mar.2013.
 S. Frintrop, E. Rome, and H. I. Christensen, "Computational visual attention systems and their cognitive foundations:A survey," ACM Trans. Appl. Percept., vol.7, no.1, pp.Article ID:6, Jan.2010.
 S. Frintrop and P. Jensfelt, "Attentional landmarks and active gaze control for visual SLAM," IEEE Trans. Robot., vol.24, no.5, pp.1054-1065, Oct.2008.
 P. Newman and K. Ho, "SLAM-loop closing with visually salient features," in Proc. 2005 IEEE Int. Conf. Robotics and Automation, Barcelona, Spain, 2005, pp.635-642.
 N. Ouerhani, A. Bur, and H. Hügli, "Visual attention-based robot self-localization," in Proc. 2005 European Conf. Mobile Robotics, Ancona, Italy, 2005, pp.8-13.
 E. Einhorn, C. Schröter, and H. M. Gross, "Attention-driven monocular scene reconstruction for obstacle detection, robot navigation and map building," Robot. Auton. Syst., vol.59, no.5, pp.296-309, May2011.
 R. Roberts, D. N. Ta, J. Straub, K. Ok, and F. Dellaert, "Saliency detection and model-based tracking:A two part vision system for small robot navigation in forested environment," in Proc. SPIE 8387, Unmanned Systems Technology XIV, Baltimore, Maryland, USA, vol.8387, Atricle ID 83870S.
 H. Bay, T. Tuytelaars, and L. Van Gool, "SURF:Speeded up robust features," in Proc. 9th European Conf. Computer Vision, Graz, Austria, 2006, pp.404-417.
 D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol.60, no.2, pp.91-110, Nov.2004.
 D. Comaniciu and P. Meer, "Mean shift:A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.5, pp.603-619, May2002.
 R. Rocha, J. Dias, and A. Carvalho, "Cooperative multi-robot systems:A study of vision-based 3-D mapping using information theory," Robot. Auton. Syst., vol.53, no.3-4, pp.282-311, Dec.2005.
 S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics?. New York, NY, USA:MIT Press, 2005.
 A. Murarka, "Building safety maps using vision for safe local mobile robot navigation," Ph.D. dissertation, Dept. CS, Univ. Texas, Austin, USA, 2009.
 S. Hrabar, "An evaluation of stereo and laser-based range sensing for rotorcraft unmanned aerial vehicle obstacle avoidance," J. Field Robot., vol.29, no.2, pp.215-239, Mar.-Apr.2012.