scholarly journals Real-time kinematic positioning for unmanned air vehicles

2016 ◽  
Author(s):  
Patrick Henkel ◽  
Andreas Sperl
Keyword(s):  
Real Time ◽  
Unmanned Air Vehicles ◽  
Kinematic Positioning ◽  
Real Time Kinematic ◽  
Air Vehicles

scholarly journals High-Accuracy Real-Time Kinematic Positioning with Multiple Rover Receivers Sharing Common Clock

2021 ◽  
Vol 13 (4) ◽  
pp. 823
Author(s):  
Lin Zhao ◽  
Jiachang Jiang ◽  
Liang Li ◽  
Chun Jia ◽  
Jianhua Cheng
Keyword(s):  
Real Time ◽  
Ambiguity Resolution ◽  
Temporal Stability ◽  
Estimation Method ◽  
Satellite System ◽  
Integer Ambiguity ◽  
Dual Frequency ◽  
Kinematic Positioning ◽  
Real Time Kinematic ◽  
Satellite Visibility

Since the traditional real-time kinematic positioning method is limited by the reduced satellite visibility from the deprived navigational environments, we, therefore, propose an improved RTK method with multiple rover receivers sharing a common clock. The proposed method can enhance observational redundancy by blending the observations from each rover receiver together so that the model strength will be improved. Integer ambiguity resolution of the proposed method is challenged in the presence of several inter-receiver biases (IRB). The IRB including inter-receiver code bias (IRCB) and inter-receiver phase bias (IRPB) is calibrated by the pre-estimation method because of their temporal stability. Multiple BeiDou Navigation Satellite System (BDS) dual-frequency datasets are collected to test the proposed method. The experimental results have shown that the IRCB and IRPB under the common clock mode are sufficiently stable for the ambiguity resolution. Compared with the traditional method, the ambiguity resolution success rate and positioning accuracy of the proposed method can be improved by 19.5% and 46.4% in the restricted satellite visibility environments.

scholarly journals Improving Road Bike Leaning Skills on Downhill Corners (Developing a System for Detecting Curvature Change Points and the Angle of a Road Bike while Riding)

Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 153
Author(s):  
Daiki Sakai ◽  
Naosuke Uchida ◽  
Shinnosuke Enomoto ◽  
Souya Iwata ◽  
Yasuo Kawakami ◽  
...  
Keyword(s):  
Real Time ◽  
Change Points ◽  
Positioning System ◽  
Kinematic Positioning ◽  
Real Time Kinematic ◽  
Starting Point ◽  
Bicycle Races ◽  
Lean It ◽  
Advanced Skills

In road bicycle races, advanced skills are needed to traverse downhill corners quickly and safely. A previous study revealed that in specific experimental corners, some beginners tend to lean their bikes more compared to experts. Therefore, in seeking to develop a support method for improving rider skill in controlling bike position, the authors aimed to design a system that indicates to users the positions of their bikes to lean it at the appropriate inclination when making turns. First, we determined the corner starting points using the RTK (Real Time Kinematic) positioning system. Then, we calculated the theoretical inclination and compared this to the inclination practiced by an expert. The experiment with this system showed that the expert started leaning the bike approximately 5 m short of a corner’s starting point with the speed maintained at approximately 25 km/h, with some correlation found between the theoretically ideal degree of inclination and the expert’s actual inclination.

Network-Based Stochastic Model for Instantaneous GNSS Real-Time Kinematic Positioning

2016 ◽  
Vol 142 (4) ◽  
pp. 05016004 ◽  
Author(s):  
Dominik Prochniewicz ◽  
Ryszard Szpunar ◽  
Aleksander Brzezinski
Keyword(s):  
Stochastic Model ◽  
Real Time ◽  
Kinematic Positioning ◽  
Real Time Kinematic
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