Moshe Kam, Xiaoxun Zhu, Paul Kalata, 1997, Sensor fusion for mobile robot navigation, Proceedings of the IEEE, Vol. 85, No. 1, pp. 108-119

Derradji Nada, Mounir Bousbia-Salah, Maamar Bettayeb, 2018, Multi-sensor data fusion for wheelchair position estimation with unscented Kalman Filter, International Journal of Automation and Computing, Vol. 15, No. 2, pp. 207-217

Yashar Balazadegan Sarvrood, Siavash Hosseinyalamdary, Yang Gao, 2016, Visual-LiDAR odometry aided by reduced IMU, ISPRS International Journal of Geo-Information, Vol. 5, No. , pp. 1-24

Rong-Jong Wai, You-Wei Lin, 2013, Adaptive Moving-Target Tracking Control of a Vision-Based Mobile Robot via a Dynamic Petri Recurrent Fuzzy Neural Network, IEEE Trans. Fuzzy Systems, Vol. 21, No. 4, pp. 688-701

David Tick, et al, 2013, Tracking control of mobile robots localized via chained fusion of discrete and continuous epipolar geometry, IMU and odometry, IEEE transactions on cybernetics, Vol. 43, No. 4, pp. 1237-1250

Marcus Hebel, Uwe Stilla, 2017, LiDAR-supported navigation of UAVs over urban areas, Surveying and Land Information Science, Vol. 70, No. 3, pp. 139-149

Shu-Li Sun, Zi-Li Deng, 2004, Multi-sensor optimal information fusion Kalman filter, Automatica, Vol. 40, No. 6, pp. 1017-1023

Bálint Takács, et al, 2016, Python code generation for explicit MPC in MPT, 2016 Eurooean Control conference (ECC), pp. 1328-1333

Niko Sünderhauf, Peter Protzel, 2007, Stereo odometry — a review of approaches, Chemnitz University of Technology Technical Report

Seungyong Han, Sangmoon Lee, 2018, Sampled-Data MPC for Leader-Following of Multi-Mobile Robot System, European Journal of Control, Vol. 67, No. 2, pp. 308-313

Miad Moarref, Luis Rodrigues, 2014, Observer design for linear multi-rate sampled-data systems, 2014 American Control Conference (ACC), pp. 5319-5324