scholarly journals A visual navigation algorithm for landing based on 3D model of small body

2021 ◽  
Vol 52 (1) ◽  
pp. 214503
Author(s):  
Yang TIAN ◽  
WenHao YANG ◽  
XiangYu HUANG
Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2976 ◽  
Author(s):  
Yunwang Li ◽  
Sumei Dai ◽  
Yong Shi ◽  
Lala Zhao ◽  
Minghua Ding

Computer simulation is an effective means for the research of robot navigation algorithms. In order to implement real-time, three-dimensional, and visual navigation algorithm simulation, a method of algorithm simulation based on secondary development of Unity3D is proposed. With this method, a virtual robot prototype can be created quickly with the imported 3D robot model, virtual joints, and virtual sensors, and then the navigation simulation can be carried out using the virtual prototype with the algorithm script in the virtual environment. Firstly, the scripts of the virtual revolute joint, virtual LiDAR sensors, and terrain environment are written. Secondly, the A* algorithm is improved for navigation in unknown 3D space. Thirdly, taking the Mecanum wheel mobile robot as an example, the 3D robot model is imported into Unity3D, and the virtual joint, sensor, and navigation algorithm scripts are added to the model. Then, the navigation is simulated in static and dynamic environments using a virtual prototype. Finally, the navigation tests of the physical robot are carried out in the physical environment, and the test trajectory is compared with the simulation trajectory. The simulation and test results validate the algorithm simulation method based on the redevelopment of Unity3d, showing that it is feasible, efficient, and flexible.


2021 ◽  
Vol 52 (1) ◽  
pp. 214510
Author(s):  
Wei SHAO ◽  
BoNing WANG ◽  
LingFei DOU ◽  
HanXue ZHAO ◽  
JinCheng XIE ◽  
...  

Author(s):  
Wu Chun-Fu ◽  
Wang Xiao-Long ◽  
Chen Qing-Xie ◽  
Cai Xiao-Wei ◽  
Li Guo-Dong

2020 ◽  
Vol 173 ◽  
pp. 383-391
Author(s):  
Wei Shao ◽  
Liang Cao ◽  
Wei Guo ◽  
Jincheng Xie ◽  
Tianhao Gu

Informatics ◽  
2020 ◽  
Vol 17 (2) ◽  
pp. 17-24
Author(s):  
R. S. Zhuk ◽  
B. A. Zalesky ◽  
Ph. S. Trotski

An autonomous visual navigation algorithm is considered, designed for “home“ return of unmanned aerial vehicle (UAV) equipped with on-board video camera and on-board computer, out of GPS and GLONASS navigation signals. The proposed algorithm is similar to the well-known visual navigation algorithms such as V-SLAM (simultaneous localization and mapping) and visual odometry, however, it differs in separate implementation of mapping and localization processes. It calculates the geographical coordinates of the features on the frames taken by on-board video camera during the flight from the start point until the moment of GPS and GLONASS signals loss. After the loss of the signal the return mission is launched, which provides estimation of the position of UAV relatively the map created by previously found features. Proposed approach does not require such complex calculations as V-SLAM and does not accumulate errors over time, in contrast to visual odometry and traditional methods of inertial navigation. The algorithm was implemented and tested with use of DJI Phantom 3 Pro quadcopter.


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