Image position measurement of the omnidirectional camera using marker

Author(s):  
Naoya HATAKEYAMA ◽  
Tohru SASAKI ◽  
Masahiro FUNATO ◽  
Mitsuru JINDAI
2018 ◽  
Vol 30 (3) ◽  
pp. 354-362 ◽  
Author(s):  
Naoya Hatakeyama ◽  
◽  
Tohru Sasaki ◽  
Kenji Terabayashi ◽  
Masahiro Funato ◽  
...  

Recently, many studies on unmanned aerial vehicle (UAVs) that perform position control using camera images have been conducted. The measurements of the surrounding environment and position of the mobile robot are important in controlling the UAV. The distance and direction of the optical ray to the object can be obtained from the diameter and coordinates in the image. In these studies, various camera systems using plane cameras, fisheye cameras, or omnidirectional cameras are used. Because these camera systems have different geometrical optics, one simple image position measurement method cannot yield the position and posture. Therefore, we propose a new method that measures the position from the size of three-dimensional landmarks using omnidirectional cameras. Three-dimensional measurements are performed by these omnidirectional cameras using the distance and direction to the object. This method can measure three-dimensional positions from the direction and distance of the ray; therefore, if the optical path such as the reflection or refraction is known, it can perform measurements using a different optical system’s camera. In this study, we construct a method to obtain the relative position and relative posture necessary for the self-position estimation based on an object with an omnidirectional camera; further, we verify this method by experiment.


Author(s):  
Naoya HATAKEYAMA ◽  
Tohru SASAKI ◽  
Kenichi KUROSAWA ◽  
Masahiro FUNATO ◽  
Mitsuru JINDAI

Author(s):  
Ryosuke SHIOYA ◽  
Tohru SASAKI ◽  
Naoyuki OSADA ◽  
Hirohiko KABETANI ◽  
Naoki TERAGUCHI

2001 ◽  
Vol 13 (6) ◽  
pp. 651-658
Author(s):  
Saied Mohamed ◽  
◽  
Toyomi Fujita ◽  
Masanori Idesawa

We previously proposed practical calibration of 3-D bright spot position measurement system using 3 1-D direction-sensitive devices. The proposed calibration enables easy setup of 1-D direction-sensitive devices to construct 3-D position sensing system; then the applicable fields and circumstances are extended extremely. The method is based on mathematical techniques which the situation of each 1-D mark direction sensitive device is determined automatically by referencing coordinates with 7 referential points. Here, we are proposing the stitching of measurement space of high-precision 3-D position sensing with 1-D mark direction-sensitive devices to expand measured space further. Our proposed method is essentially iterative application of calibration: reference coordinates are translated and rotated to include both adjacent measurement spaces step by step, calibration is executed, and the position and situation of each 1-D direction-sensitive device are found systematically.


2019 ◽  
Vol 2019.56 (0) ◽  
pp. A025
Author(s):  
Kenichi KUROSAWA ◽  
Tohru SASAKI ◽  
Kenji TERABAYASHI ◽  
Naoya HATAKEYAMA

2001 ◽  
Vol 13 (4) ◽  
pp. 371-380
Author(s):  
Atsushi Wakamiya ◽  
◽  
Naoki Suganuma ◽  
In Soo Kweon ◽  
Naofumi Fujiwara

The reduced driving visibility at night makes it important in driver support to improve recognize obstacle recognition. We propose detecting vehicle tail lights by us bright color information issued at night and measuring the relative distance to the vehicle from its image position using stereo vision. We conducted experiments to determine the effectiveness of our proposed technique.


2019 ◽  
Vol 2019.56 (0) ◽  
pp. A024
Author(s):  
Ryosuke SHIOYA ◽  
Toshiki SAKAI ◽  
Tohru SASAKI ◽  
Kennji TERABAYASHI

Author(s):  
Carolyn Nohr ◽  
Ann Ayres

Texts on electron diffraction recommend that the camera constant of the electron microscope be determine d by calibration with a standard crystalline specimen, using the equation


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