A Multi-Sensory Robot Used for Searching Toxic Gas Leak Source

2010 ◽  
Vol 139-141 ◽  
pp. 2150-2153
Author(s):  
Xiao Jun Zhang ◽  
Ming Lu Zhang ◽  
Jian Hua Zhang ◽  
Ling Yu Sun

For filling the application requirement of searching toxic gas leak source, a multi-sensory robot, which is used for searching toxic gas leak source, is developed. This robot consists of humanoid multiple degree of freedom head system and tracked walking mechanism, with the sense of smell, hearing and stereo vision and other functions. The robot’s bionic olfaction system can detect 5 kinds of toxic gas in the same time, and the hearing system consisted of four microphones can get all kinds of sound in the general environment. Meanwhile, its binocular stereo vision system can get the 3D information of the work environmental. Distributed controll system is constructed for the robot, and comprehensive utilization of the multi-sensory function can increase the efficiency and accuracy of searching leakage. This robot can give full play the advantage of multiple degrees of freedom to expand the searching scope of the robot, and enhance the flexibility of the searching behavior. This robot system has wide application prospects in the environment of toxic gas.

2020 ◽  
Author(s):  
Pengcheng Wang ◽  
Zenghong Ma ◽  
Xiaoqiang Du ◽  
Wenwu Lu ◽  
Wensong Xing ◽  
...  

2004 ◽  
Vol 126 (1) ◽  
pp. 102-114 ◽  
Author(s):  
Psang Dain Lin ◽  
Te-tan Liao

Two-CCD binocular stereo vision systems using pinhole model are attracting research interest in many important fields such as 3-D coordinate measurement. However, new system modeling is difficult because of lack of fundamental imaging formation theory. In this paper, in order to measure a 3-D surface, we demonstrate how a binocular stereo vision system can be modeled by the proposed skew ray tracing method to study the geometric relations between the binocular camera images and the 3-D surface. In order to investigate the overall accuracy and resolution of this system, the influence of infinitesimal camera reading errors on measured coordinate errors is determined by sensitivity analysis. Experimental verification demonstrates that the performance of the proposed system is excellent.


2007 ◽  
Author(s):  
Jun Chu ◽  
Chunlin Jiao ◽  
Hang Guo ◽  
Xiaoyu Zhang

2014 ◽  
Vol 701-702 ◽  
pp. 361-366
Author(s):  
Xiao Jing Yang ◽  
Si Qi Wang

Camera calibration is the most important stage of machine vision measurement. The principle and method of camera calibration for binocular stereo vision system are introduced and the left and right CCD are respectively calibrated by using the prepared calibration target and the MATLAB program. Then internal and external camera parameters are obtained by the calibration experiments. The experimental results show that the calibration results have high precision.


2015 ◽  
Vol 44 (10) ◽  
pp. 1011001 ◽  
Author(s):  
卢宝莉 LU Bao-li ◽  
刘育梁 LIU Yu-liang ◽  
孙亮 SUN Liang

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