scholarly journals Assembling a Swarm Navigation System: Communication, Localization, Sensing and Control

2021 ◽  
Author(s):  
Siwei Zhang ◽  
Robert Pohlmann ◽  
Emanuel Staudinger ◽  
Armin Dammann
Keyword(s):  
Navigation System ◽  
System Communication ◽  
And Control

scholarly journals Prototype of Augmented Reality Technology for Orthodontic Bracket Positioning: An In Vivo Study

2021 ◽  
Vol 11 (5) ◽  
pp. 2315
Author(s):  
Yu-Cheng Lo ◽  
Guan-An Chen ◽  
Yin Chun Liu ◽  
Yuan-Hou Chen ◽  
Jui-Ting Hsu ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Navigation System ◽  
Computer Aided Design ◽  
Control Group ◽  
Orthodontic Bracket ◽  
Bracket Position ◽  
Aided Design ◽  
Clinical Error ◽  
And Control

To improve the accuracy of bracket placement in vivo, a protocol and device were introduced, which consisted of operative procedures for accurate control, a computer-aided design, and an augmented reality–assisted bracket navigation system. The present study evaluated the accuracy of this protocol. Methods: Thirty-one incisor teeth were tested from four participators. The teeth were bonded by novice and expert orthodontists. Compared with the control group by Boone gauge and the experiment group by augmented reality-assisted bracket navigation system, our study used for brackets measurement. To evaluate the accuracy, deviations of positions for bracket placement were measured. Results: The augmented reality-assisted bracket navigation system and control group were used in the same 31 cases. The priority of bonding brackets between control group or experiment group was decided by tossing coins, and then the teeth were debonded and the other technique was used. The medium vertical (incisogingival) position deviation in the control and AR groups by the novice orthodontist was 0.90 ± 0.06 mm and 0.51 ± 0.24 mm, respectively (p < 0.05), and by the expert orthodontist was 0.40 ± 0.29 mm and 0.29 ± 0.08 mm, respectively (p < 0.05). No significant changes in the horizontal position deviation were noted regardless of the orthodontist experience or use of the augmented reality–assisted bracket navigation system. Conclusion: The augmented reality–assisted bracket navigation system increased the accuracy rate by the expert orthodontist in the incisogingival direction and helped the novice orthodontist guide the bracket position within an acceptable clinical error of approximately 0.5 mm.

Tracing algorithm and control strategy for crawler rice combine harvester auxiliary navigation system

2021 ◽  
Vol 211 ◽  
pp. 50-62
Author(s):  
Zhuohuai Guan ◽  
Ying Li ◽  
Senlin Mu ◽  
Min Zhang ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Control Strategy ◽  
Navigation System ◽  
Combine Harvester ◽  
Tracing Algorithm ◽  
And Control

scholarly journals High Accuracy Attitude and Navigation System for an Autonomous Underwater Vehicle (AUV)

ACTA IMEKO ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 3 ◽  
Author(s):  
Enrico Petritoli ◽  
Fabio Leccese
Keyword(s):  
Control System ◽  
Navigation System ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
High Accuracy ◽  
Center Of Gravity ◽  
And Control ◽  
Control Surfaces

<span lang="EN-GB">This paper examines the development of an attitude and control system for a tailless AUV (Autonomous Underwater Vehicle) without movable control surfaces. As the AUV does not have movable surfaces, the buoyancy system and the center of gravity displacement manage the entire maneuvering system.</span>

Design and Implementation of Vehicle Navigation Systems

2010 ◽  
pp. 131-143
Author(s):  
Min-Xiou Chen
Keyword(s):  
Wireless Communication ◽  
Navigation System ◽  
System Analysis ◽  
Vehicle Navigation ◽  
Navigation Systems ◽  
System Communication ◽  
Vehicle Navigation System ◽  
Process Route ◽  
System Requirements ◽  
The Difference

Vehicle Navigation System (VNS) is a complicated and integrated system. A reliable vehicle navigation system should integrate the wireless communication technologies, positioning technologies, embedded computer, geographic information database, and so on. The major purpose of the chapter is to help understanding the architecture of vehicle navigation system. This chapter first introduces the system requirements and system analysis, and show the system platform of vehicle navigation system. The system platform can be divided into six components. There are the digital map database, positioning devices, map-matching process, route planning process, route guidance process, human-machine interface, and wireless communication interface. The design issues and system communication of these components are detail illustrated in the chapter. Finally, the authors also present some vehicle navigation systems proposed in the past few years, and show the difference of these systems. The aim of vehicle navigation system is to guide the vehicle along the optimal path from the starting point to destination. A reliable vehicle navigation system can reduce the traffic chaos in the city and improve the transportation delay. In order to achieve reliable vehicle navigation system, the detail system requirements, system analysis, and system architecture are shown in the chapter. Each component of vehicle navigation system is briefly illustrated, and the system communication is also described. The authors also present the architecture of the proposed vehicle navigation system, and show the difference of these systems. Therefore this chapter helps understanding the architecture of vehicle navigation system.

Authentication in space system communication and control with numerous access

1997 ◽  
Vol 3 (1-2) ◽  
pp. 83-86
Author(s):  
Yu.V. Stasev ◽  
◽  
I.D. Gorbenko ◽  
N.V. Pastukhov ◽  
◽  
...  
Keyword(s):  
System Communication ◽  
Space System ◽  
And Control
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