Controls, unmanned mobiles, and methods

• 1. 基于时频和卷积神经网络的机会信号感知方法、系统及机会信号定位方法 [P] . 中国专利： CN114114363A . 2022-03-01
• 2. 机会网络的簇头选择方法、分簇方法以及机会网络系统 [P] . 中国专利： CN105337871B . 2019.01.18
• 3. Unmanned mobile control device, unmanned mobile control method, and unmanned mobile system [P] . 日本专利： JPWO2019064329A1 . 2020-10-22

  机译： 无人移动控制装置，无人移动控制方法和无人移动系统

• 4. UNMANNED MOBILE CONTROL DEVICE, UNMANNED MOBILE CONTROL METHOD, UNMANNED MOBILE SYSTEM [P] . 世界知识产权组织专利： WO2019064328A1 . 2019-04-04

  机译： 无人驾驶控制设备，无人驾驶控制方法，无人驾驶系统

• 5. Device for controlling unmanned moving object, method for controlling unmanned moving object, and unmanned mobile body system [P] . JP6963020B2 . 2021-11-05

  机译： 用于控制无人移动对象的设备，控制无人移动物体的方法，以及无人驾驶机身系统

• 1. Heading control method and experiments for an unmanned wave glider [J] . LIAO Yu-lei, LI Yi-ming, WANG Lei-feng, 中南大学学报（英文版） . 2017,第011期
• 2. A new robust fuzzy method for unmanned flying vehicle control [J] . Mojtaba Mirzaei, Mohammad Eghtesad, Mohammad Mahdi Alishahi 中南大学学报（英文版） . 2015,第006期
• 3. Research on wireless communication distance test methods for small ground mobile unmanned platform [C] . Hui XIE, Jing-kun HU, Yi-yang SUN, International conference on defence technology . 2018
• 4. Position Control of an Unmanned Aerial Vehicle From a Mobile Ground Vehicle [D] . Tiwari, Astha 2017
• 5. Mobile application intervention to promote self-management in insulin-requiring type 1 and type 2 diabetes individuals: protocol for a mixed methods study and non-blinded randomized controlled trial [O] . Mary D Adu, Usman H Malabu, Aduli EO Malau-Aduli, 2019
• 6. Development of a Bio-inspired Vision System for Mobile Micro-robots:In this paper, we present a new bio-inspired vision system for mobile micro-robots. The processing method takes inspiration from vision of locusts in detecting the fast approaching objects. Research suggested that locusts use wide-field visual neuron called the lobula giant movement detector to respond to imminent collisions. We employed the locusts' vision mechanism to motion control of a mobile robot. The selected image processing method is implemented on a developed extension module using a low-cost and fast ARM processor. The vision module is placed on top of a micro-robot to control its trajectory and to avoid obstacles. The observed results from several performed experiments demonstrated that the developed extension module and the inspired vision system are feasible to employ as a vision module for obstacle avoidance and motion control. [O] . Hu, Cheng, Arvin, Farshad, Yue, Shigang 2014
• 7. Distributed Methods for Controlling Multiple Mobile Robots [R] . Suzuki, I. 1994

• 1. A Data-Driven Adaptive Method for Attitude Control of Fixed-Wing Unmanned Aerial Vehicles [J] . Meili Chen ,Yuan Wang . 航空科学与技术（英文） . 2019,第1期
• 2. Heading control method and experiments for an unmanned wave glider [J] . 廖煜雷1 ,李一鸣1 ,王磊峰1 . 中南大学学报 . 2017,第011期
• 3. A new robust fuzzy method for unmanned flying vehicle control [J] . Mojtaba Mirzaei ,Mohammad Eghtesad ,Mohammad Mahdi Alishahi . 中南大学学报 . 2015,第006期
• 4. 无人驾驶汽车产业的中国机会 [C] . 周路明 . 2017中国电动汽车百人会 . 2017
• 5. 可编程控制器开发平台的自定义图控件软件的设计以及图控件智能推荐方法的研究 [A] . 夏建军 . 2019