Novel results and experiments are presented on the application of cellular neural networks to binocular stereo vision. A CNN universal machine algorithm is described for depth estimation as a part of a stereo-vision-based guidance system for autonomous vehicles. Being most amenable to revealing stereo correspondence, extraction of vertical edges is performed first. Then their distance from the ...

CORTEX-INSPIRED DEVELOPMENTAL LEARNING NETWORKS FOR STEREO VISION By Mojtaba Solgi How does the human brain make sense of the 3D world while its visual input, the retinal images, are only two-dimensional? There are multiple depth-cues exploited by the brain to create a 3D model of the world. Despite the importance of this subject both for scientists and engineers, the underlying computational m...

In the AUV binocular vision navigation, in order to improve the AUV positioning accuracy, optimizing the stereo vision imaging system structure and weighted least-square method is proposed. The principle of AUV location is analyzed, and that the AUV location accuracy depends on the measurement precision of the three dimensional space point is proposed. Based on the analysis of stereo vision mea...

Most binocular stereo algorithms assume that all scene elements are visible from both cameras. Scene elements that are visible from only one camera, known as occlusions, pose an important challenge for stereo. Occlusions are important for segmentation, because they appear near discontinuities. However, stereo algorithms tend to ignore occlusions because of their difficulty. One reason is that o...

A stereo vision is able to build threedimensional maps of its environment. It can provide much more complete information than a 2D image based vision but has to process, at least, that much more data. In the past decade, real-time stereo has become a reality. Some solutions are based on reconfigurable hardware and others rely on specialized hardware. However, they are designed for their own spe...

This paper presents a stereo vision system for vehicle detection. It has been conceived as the integration of two different subsystems. Initially a stereo vision based system is used to recover the most relevant 3D features in the scene; due to the algorithm’s generality, all the vertical features are extracted as potentially belonging to a vehicle in front of the vision system. This list of si...

This paper introduces a novel stereo vision based simulation system for a Humanoid Robot. This stereo vision system and robot controller is simulated dynamically and its performance evaluated for a standard humanoid robot benchmark problem. The vision system presented has been tested by simulating the dynamics of the robot system as well as the image processing subsystem. The real-time image pr...

the main idea of this paper is to present application of stereo vision approach to determine position and orientation of end-effector of mechanical manipulators. Stereo vision is a technique based on inferring depth of an object from two cameras. A stereo vision test set up that is made of two parallel CMOS cameras is provided and USB port is used to transmit image data to the computer. Experim...

The key component of a mobile robot system is the ability to localize itself accurately in an unknown environment and simultaneously build the map of the environment. Majority of the existing navigation systems are based on laser range finders, sonar sensors or artificial landmarks. Navigation systems using stereo vision are rapidly developing technique in the field of autonomous mobile robots....

Automation in construction is considered as one of solutions to fundamental problems which the construction industry has confronted. The development of real-time 3D local terrain modeling is the core methodology of achievement of IES (Intelligent Excavating System) which is a mega-size research concerning automation in construction. Stereo vision technique was selected as an appropriate method ...