[1]
‘Hector SLAM’s image registration’. [Online]. Available: https://cecas.clemson.edu/~stb/klt/lucas_bruce_d_1981_1.pdf
[2]
Introduction to Autonomous Mobile Robots | The MIT Press. [Online]. Available: https://mitpress.mit.edu/books/introduction-autonomous-mobile-robots
[3]
Wiley: Control Systems Engineering, 6th Edition - Norman S. Nise. [Online]. Available: http://au.wiley.com/WileyCDA/WileyTitle/productCd-EHEP001820.html
[4]
Shigley’s Mechanical Engineering Design. [Online]. Available: http://www.mheducation.com/highered/product/shigley-s-mechanical-engineering-design-budynas-nisbett/M0073398209.html
[5]
Artificial Intelligence - Rob Callan - Palgrave Higher Education. [Online]. Available: https://he.palgrave.com/page/detail/artificial-intelligence-rob-callan/?sf1=barcode&st1=9780333801369
[6]
‘An Evaluation of 2D SLAM Techniques Available in Robot Operating System’. [Online]. Available: https://pdfs.semanticscholar.org/6b9c/afcf9aef5b4c0c338c44a581236d54caddbd.pdf
[7]
‘Hector SLAM for robust mapping in USAR environments’. http://tedusar.eu/cms/sites/tedusar.eu.cms/files/Hector_SLAM_USAR_Kohlbrecher_RRSS_Graz_2012.pdf
[8]
‘Hector SLAM indepth paper’. http://mirror-eu.wiki.ros.org/attachments/mallasrikanth(2f)polyglotx/kohlbrecher2013opensource.pdf
[9]
‘Overview Hector SLAM Paper’, [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.302.2579&rep=rep1&type=pdf
[10]
‘My Bookmarks | Victoria University Of Wellington’, [Online]. Available: https://cecas.clemson.edu/~stb/klt/lucas_bruce_d_1981_1.pdf
[11]
‘Hector SLAM’s image registration’. [Online]. Available: https://cecas.clemson.edu/~stb/klt/lucas_bruce_d_1981_1.pdf
[12]
‘Nonlinear Least-Squares Problems with the Gauss-Newton and Levenberg-Marquardt Methods’. [Online]. Available: https://www.math.lsu.edu/system/files/MunozGroup1%20-%20Presentation.pdf
[13]
‘SOLVING NONLINEAR LEAST-SQUARES PROBLEMS WITH THE GAUSS-NEWTON AND LEVENBERG-MARQUARDT METHODS’. [Online]. Available: https://www.math.lsu.edu/system/files/MunozGroup1%20-%20Paper.pdf