Analysis of Expanded Possibilities of ITS Systems Augmented with New Vision System Elements: The Case of Lodz

Author(s):  
Remigiusz Kozlowski ◽  
Anna Palczewska ◽  
Lukasz Borowiecki
Keyword(s):  
Author(s):  
Yanlei Gu ◽  
Tomohiro Yendo ◽  
Mehrdad Panahpour Tehrani ◽  
Toshiaki Fujii ◽  
Masayuki Tanimoto

2017 ◽  
Vol 14 (4) ◽  
pp. 172988141771598 ◽  
Author(s):  
De Xu ◽  
Qingbin Wang

A new vision measurement system is developed with two cameras. One is fixed in pose to serve as a monitor camera. It finds and tracks objects in image space. The other is actively rotated to track the object in Cartesian space, working as an active object-gazing camera. The intrinsic parameters of the monitor camera are calibrated. The view angle corresponding to the object is calculated from the object’s image coordinates and the camera’s intrinsic parameters. The rotation angle of the object-gazing camera is measured with an encoder. The object’s depth is computed with the rotation angle and the view angle. Then the object’s three-dimensional position is obtained with its depth and normalized imaging coordinates. The error analysis is provided to assess the measurement accuracy. The experimental results verify the effectiveness of the proposed vision system and measurement method.


Robotica ◽  
1994 ◽  
Vol 12 (1) ◽  
pp. 77-89 ◽  
Author(s):  
M. Elarbi Boudihir ◽  
M. Dufaut ◽  
R. Husson

A new vision system architecture has been developed to support the visual navigation of an autonomous mobile robot. This robot is primarily intended for urban park inspection, so it should be able to move in a complex unstructured environment. The system consists of various modules each ensuring a specific task involved in autonomous navigation. Task coordination focuses on the central module called the supervisor which triggers each module at the time appropriate to the current situation of the robot. Most of the processing time is spent with the scene exploration module which is based on the Hough transform to extract the dominant straight features. This module operates in two modes: the initial phase which forms the type of processing applied to the first image acquired in order to initiate navigation, and the continuous following mode which ensures the processing of subsequent images taken at the end of the blind distance. In order to rely less on visual data, a detailed map of the environment has been established, and an algorithm is used to make a scene prediction based on robot position provided by the localization system. The predicted scene is used to validate the objects detected by the knowledge base. This knowledge base uses the acquired and predicted data to construct a scene model which is the main element of the vision system.


2021 ◽  
Vol 2108 (1) ◽  
pp. 012026
Author(s):  
Yijiang Wu ◽  
Zhicong Dong ◽  
Huibin Zhou

Abstract Aiming at the problem of low visual co direction rate of high-voltage transmission line obstacle Removal Robot in traditional system, a new vision system of high-voltage transmission line obstacle removal robot is designed. In the hardware part of the system, the storage structure of DSP, TMS32DC541Q and image sensor are designed; at the same time, through the visual foreign object recognition of high-voltage transmission line obstacle removal robot, the visual image threshold of high-voltage transmission line obstacle removal robot is calculated, the visual judgment of high-voltage transmission line obstacle removal robot is realized, and the system design is completed. The experimental results show that compared with the traditional vision system, the designed vision system of high-voltage transmission line obstacle Removal Robot effectively improves the degree of the same direction with the original image and meets the practical application requirements.


2014 ◽  
Author(s):  
Hokchhay Tann ◽  
Bicky Shakya ◽  
Alex C. Merchen ◽  
Benjamin C. Williams ◽  
Abhishek Khanal ◽  
...  

2012 ◽  
Vol 43 (7) ◽  
pp. 35
Author(s):  
ALICIA AULT
Keyword(s):  

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