Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection
- Published: 21 Nov 2017
- Chinese Academy of Sciences China (People's Republic of)
- Chinese Academy of Science China (People's Republic of)
- Chinese Academy of Science (中国科学院) (CAS) China (People's Republic of)
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[1] R. Mur-Artal, J.MM Montiel, and J. D. Tardos, "Orb-slam: a versatile and accurate monocular slam system," IEEE Transactions on Robotics, Vol.31, pp.1147-1163, 2015. [OpenAIRE]
[2] J. Engel, T. Schops, and D. Cremers, "LSD-SLAM: Large-Scale Direct monocular SLAM," presented at European Conference on Computer Vision, Zurich, Switzerland, 2014. [OpenAIRE]
[3] Choset, Howie, and Keiji Nagatani. "Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization." IEEE Transactions on robotics and automation, Vol.17, pp.125-137, 2001. [OpenAIRE]
[4] N. Sünderhauf, P. Neubert, and P. Protzel, "Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons," presented at IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013.
[5] G. Wyeth and M. Milford, "Towards lifelong navigation and mapping in an office environment," Robotics Research, Vol.70, pp.589-603, 2011. [OpenAIRE]
M. Cummins and P. Newman, "Appearance-only SLAM at large scale with FAB-MAP 2.0," International Journal of Robotics Research, Vol.30, pp.1100-1123, 2011.
M. Milford, G. Wyeth, and D. Prasser, "RatSLAM: a hippocampal model for simultaneous localization and mapping," presented at IEEE International Conference on Robotics and Automation, New Orleans, United States, 2004. [OpenAIRE]
M. J. Milford and G. F. Wyeth, "SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights," presented at IEEE International Conferece on Robotics and Automation, Minnesota, United States, 2012. [OpenAIRE]
P. C. Ng and S. Henikoff, "SIFT: Predicting amino acid changes that affect protein function," Nucleic Acids Research. Vol.31, pp.3812-3814, 2003. [OpenAIRE]
[10] H. Bay, T. Tuytelaars, and L. Van Gool, "SURF: Speeded up robust features," presented at European Conference on Computer Vision, Graz, Austria, 2006. [OpenAIRE]
[11] E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, "ORB: An efficient alternative to SIFT or SURF," presented at IEEE International Conference on Computer Vision, Barcelona, Spain, 2011. [OpenAIRE]
[12] A. Oliva, "Gist of the scene," Neurobiology of Attention, pp. 251-256, 2005.
[13] N. Sunderhauf, S. Shirazi, F. Dayoub, B. Upcroft, and M. Milford, "On the performance of ConvNet features for place recognition," presented at IEEE Conference on Intelligent Robot and Systems, Germany, 2015. [OpenAIRE]
[14] S. Lowry and M. J. Milford, "Change Removal : Robust Online Learning for Changing Appearance and Changing Viewpoint ," presented at IEEE International Conference on Robotics and Automation, Seattle, United States, 2015.
[15] Z. Chen, A. Jacobson, N. Sünderhauf, B. Upcroft, L. Liu, C. Shen, and I. Reid, "Deep Learning Features at Scale for Visual Place Recognition," presented at IEEE International Automation, Singapore, 2017. [OpenAIRE]
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