Motion control of an unmanned vehicle using stored video images

1995 ◽  
Author(s):  
R.C. Seals
2019 ◽  
Vol 8 (4) ◽  
pp. 8885-8889

This work analyzes test results of motion control system of unmanned cargo vehicles convoy with manned master vehicle developed by NAMI Institute. Development of intelligent transportation systems is determined by necessity to improve efficiency and safety of cargo and passenger traffic in hard-to-reach areas of northern Russia, Arctic and Antarctic regions. Scientific substantiation of engineering solutions accounting for specific operation conditions and peculiarities of controls is of outstanding importance. The problem of motion control of unmanned vehicle convoy is formulated in terms of dynamic stability of state coordinates, its solution prevents collision with obstacles and stability control of master vehicle. State coordinates of vehicles were determined by virtual data sensors based on indirect measurements using mathematical models and solution algorithms of ill-posed problems. Measurements of longitudinal speed of mass center, longitudinal and transversal accelerations, pressure drop in tires, turning angle of driven wheels, motion path plotting and recognition of road markings have been analyzed. Efficiency of the developed system of motion control of unmanned vehicle convoy in Russia has been confirmed experimentally.


Author(s):  
Tim Oliver ◽  
Akira Ishihara ◽  
Ken Jacobsen ◽  
Micah Dembo

In order to better understand the distribution of cell traction forces generated by rapidly locomoting cells, we have applied a mathematical analysis to our modified silicone rubber traction assay, based on the plane stress Green’s function of linear elasticity. To achieve this, we made crosslinked silicone rubber films into which we incorporated many more latex beads than previously possible (Figs. 1 and 6), using a modified airbrush. These films could be deformed by fish keratocytes, were virtually drift-free, and showed better than a 90% elastic recovery to micromanipulation (data not shown). Video images of cells locomoting on these films were recorded. From a pair of images representing the undisturbed and stressed states of the film, we recorded the cell’s outline and the associated displacements of bead centroids using Image-1 (Fig. 1). Next, using our own software, a mesh of quadrilaterals was plotted (Fig. 2) to represent the cell outline and to superimpose on the outline a traction density distribution. The net displacement of each bead in the film was calculated from centroid data and displayed with the mesh outline (Fig. 3).


Author(s):  
Patricia L. McDermott ◽  
Jason Luck ◽  
Laurel Allender ◽  
Alia Fisher

2019 ◽  
Vol 139 (5) ◽  
pp. 662-669
Author(s):  
Yuki Asai ◽  
Ryuichi Enomoto ◽  
Yuta Ueda ◽  
Daisuke Iwai ◽  
Kosuke Sato

2015 ◽  
Vol 135 (3) ◽  
pp. 246-257 ◽  
Author(s):  
Mototsugu Omura ◽  
Tomoyuki Shimono ◽  
Yasutaka Fujimoto
Keyword(s):  

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