1. A video demonstrating the drone squad-based surveillance system for in(out)door environments. [Video]
2. A video demonstrating the autonomous Landing system developed for UAV in the following papers. [Video]
G. Niu, L. Wu, Y. Gao and M.O. Pun, Unmanned Aerial Vehicle (UAV)-Assisted Path Planning for Unmanned Ground Vehicles (UGVs) via Disciplined Convex-Concave Programming, IEEE Trans. on Vehicular Technology, Vol. 71, pp. 6996-7007, July 2022.
G. Niu, Q. Yang, Y. Gao, M.O. Pun, Vision-based Autonomous Landing for Unmanned Aerial and Mobile Ground Vehicles Cooperative Systems, IEEE Robotics and Automation Letters (RA-L), Vol.7, pp. 6234-6241, Jul. 2022.
G. Niu, J. Li, S. Guo, M.O. Pun, L. Hou and L. Yang, "SuperDock: A Deep Learning-Based Automated Floating Trash Monitoring System", Proc. 2019 IEEE International Conference on Robotics and Biomimetics (Robio), Dali, China, December 6-8, 2019.
3. A video demonstrating the indoor positioning techniques developed in the following papers. [Video]
S. Guo, G. Niu, Z. Wang, M.O. Pun and K. Yang, An Indoor Knowledge Graph Framework for Efficient Pedestrian Localization, IEEE Sensors Journal, Vol. 21, No. 4, pp. 5151-5163, Feb. 2021.
S. Guo and M.O. Pun, Indoor Semantic-Rich Link-Node Model Construction Using Crowdsourced Trajectories from Smartphones, IEEE Sensors Journal, Vol. 19, No. 22, pp. 10917-10934, November 2019.
4. A video demonstrating the UAV-assisted Unmmaned Ground Vehicles reported in the following paper. [Video]
Y. Wei, H. Qiu, Y. Liu, J. Du and M. Pun, "Unmanned aerial vehicle (UAV)-assisted unmanned ground vehicle (UGV) systems design, implementation and optimization," 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu, 2017, pp. 2797-2801.