Research on virtual Ackerman steering model based navigation system for tracked vehicles

2022 ◽  
Vol 192 ◽  
pp. 106615
Author(s):  
Linhuan Zhang ◽  
Ruirui Zhang ◽  
Longlong Li ◽  
ChenChen Ding ◽  
Danzhu Zhang ◽  
...  
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Wanling Li ◽  
Zhi Xiong ◽  
Yiming Ding ◽  
Zhiguo Cao ◽  
Zhengchun Wang

1989 ◽  
Author(s):  
Juha Roning ◽  
Matti Pietikainen ◽  
Mikko Lindholm ◽  
Tapio Taipale

2018 ◽  
Vol 10 (10) ◽  
pp. 168781401880270 ◽  
Author(s):  
Yu Yao ◽  
Kai Cheng ◽  
Bangcheng Zhang ◽  
Jinhua Lin ◽  
Dawei Jiang ◽  
...  

With the advantage of steering performance, articulated tracked vehicles have excellent mobility in off-road application. However, in current models for steering performance, soil deformation on the interaction between track and soil cannot always be taken into account. Therefore, steering performance cannot always be calculated accurately. In order to solve the problem, it is essential to propose a steering model which can take the effect of soil deformation on track–soil interaction into consideration. In this article, a steering model of articulated tracked vehicle is proposed on track–soil interaction. Moreover, in order to improve steering performance, a track–soil sub-model is developed that can consider soil deformation on track–soil interaction. Using this steering model based on track–soil sub-model, steering performance can be calculated more accurately. Simulation studies and experimental results are in strong agreement with the theoretical results in this article. The results show that equipped with the track–soil sub-model, the proposed steering model can be used to accurately predict steering performance. The steering model of articulated tracked vehicle proposed in this article can provide a basis for other similar vehicles.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2467 ◽  
Author(s):  
Hery Mwenegoha ◽  
Terry Moore ◽  
James Pinchin ◽  
Mark Jabbal

The dominant navigation system for low-cost, mass-market Unmanned Aerial Vehicles (UAVs) is based on an Inertial Navigation System (INS) coupled with a Global Navigation Satellite System (GNSS). However, problems tend to arise during periods of GNSS outage where the navigation solution degrades rapidly. Therefore, this paper details a model-based integration approach for fixed wing UAVs, using the Vehicle Dynamics Model (VDM) as the main process model aided by low-cost Micro-Electro-Mechanical Systems (MEMS) inertial sensors and GNSS measurements with moment of inertia calibration using an Unscented Kalman Filter (UKF). Results show that the position error does not exceed 14.5 m in all directions after 140 s of GNSS outage. Roll and pitch errors are bounded to 0.06 degrees and the error in yaw grows slowly to 0.65 degrees after 140 s of GNSS outage. The filter is able to estimate model parameters and even the moment of inertia terms even with significant coupling between them. Pitch and yaw moment coefficient terms present significant cross coupling while roll moment terms seem to be decorrelated from all of the other terms, whilst more dynamic manoeuvres could help to improve the overall observability of the parameters.


2017 ◽  
Vol 10 (2) ◽  
pp. 147-156 ◽  
Author(s):  
T. Franz ◽  
D. Lüdtke ◽  
O. Maibaum ◽  
A. Gerndt

2016 ◽  
Vol 42 (5) ◽  
pp. 399-405 ◽  
Author(s):  
Robert W Emery ◽  
Scott A Merritt ◽  
Kathryn Lank ◽  
Jason D Gibbs

The purpose of this model-based study was to determine the accuracy of placing dental implants using a new dynamic navigation system. This investigation focuses on measurements of overall accuracy for implant placement relative to the virtual plan in both dentate and edentulous models, and provides a comparison with a meta-analysis of values reported in the literature for comparable static guidance, dynamic guidance, and freehand placement studies. This study involves 1 surgeon experienced with dynamic navigation placing implants in models under clinical simulation using a dynamic navigation system (X-Guide, X-Nav Technologies, LLC, Lansdale, Pa) based on optical triangulation tracking. Virtual implants were placed into planned sites using the navigation system computer. Post–implant placement cone-beam scans were taken. These scans were mesh overlaid with the virtual plan and used to determine deviations from the virtual plan. The primary outcome variables were platform and angular deviations comparing the actual placement to the virtual plan. The angular accuracy of implants delivered using the tested device was 0.89° ± 0.35° for dentate case types and 1.26° ± 0.66° for edentulous case types, measured relative to the preoperative implant plan. Three-dimensional positional accuracy was 0.38 ± 0.21 mm for dentate and 0.56 ± 0.17 mm for edentulous, measured from the implant apex.


Sign in / Sign up

Export Citation Format

Share Document