Journal of Sensors

Machine Vision Sensors


Status
Published

Lead Editor

1Autonomous University of Baja California, Mexicali, Mexico

2Kharkov National Automobile and Highway University, Kharkiv, Ukraine

3Leuphana University, Lueneburg, Germany


Machine Vision Sensors

Description

The advances in mechatronics and robotics in the last 50 years have been improved by the sensory inputs to systems, providing them with the sight capacity; when the machine visual interpretation is carried out, it increases systems intelligence. While visual perception to machines promises the greatest improvement, at the same time it presents the greatest challenge, particularly when they are in the real world situations.

This special issue is intended to present and discuss breakthrough technological developments which are expected to revolutionize contributions to sensors, signal processing, and algorithms in Machine Vision, Control, and Navigation. It provides a reference on Machine Vision supporting techniques and 3D reconstruction for researchers and engineers. These contributions are focused on sensors for vision systems, intelligent navigation algorithms, and machine motion controllers, particularly on applications of unmanned aerial vehicle, drones, autonomous, and mobile humanoid robots. Recent advances in industrial and navigation robots are most welcome and also innovative research in measurement, classification, industrial production inspection, rescue tasks, security, mapping, audiovisual, and other areas where Machine Vision, Control, and Navigation play an important role.

We invite investigators to contribute reviews, and original papers describing recent findings in the field of all possible sensors for Machine Vision.

Potential topics include but are not limited to the following:

  • Image and signal sensors for computer and Machine Vision
  • Scanning technologies for indoor and outdoor stereo vision
  • 3D information reconstruction and applications
  • Machine Vision application in science and industry
  • Instrumentation and control for vehicles and robot navigation
  • Vision-based control schemes

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 3202761
  • - Editorial

Machine Vision Sensors

Oleg Sergiyenko | Vera Tyrsa | ... | Paolo Mercorelli
  • Special Issue
  • - Volume 2018
  • - Article ID 5813514
  • - Research Article

Face Recognition and Drunk Classification Using Infrared Face Images

Gabriel Hermosilla | José Luis Verdugo | ... | Margarita Machuca
  • Special Issue
  • - Volume 2017
  • - Article ID 8231314
  • - Research Article

Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging

Wanzeng Kong | Jinshuai Yu | ... | Huanhuan Xue
  • Special Issue
  • - Volume 2017
  • - Article ID 4562934
  • - Research Article

Vision System of Mobile Robot Combining Binocular and Depth Cameras

Yuxiang Yang | Xiang Meng | Mingyu Gao
  • Special Issue
  • - Volume 2017
  • - Article ID 8765450
  • - Research Article

Global Measurement Method for Large-Scale Components Based on a Multiple Field of View Combination

Yang Zhang | Wei Liu | ... | Zhenyuan Jia
  • Special Issue
  • - Volume 2017
  • - Article ID 3515418
  • - Research Article

Multisource Data Fusion Framework for Land Use/Land Cover Classification Using Machine Vision

Salman Qadri | Dost Muhammad Khan | ... | Sarfraz Ahmad Awan
  • Special Issue
  • - Volume 2017
  • - Article ID 6742615
  • - Research Article

An Efficient Calibration Method for a Stereo Camera System with Heterogeneous Lenses Using an Embedded Checkerboard Pattern

Pathum Rathnayaka | Seung-Hae Baek | Soon-Yong Park
  • Special Issue
  • - Volume 2017
  • - Article ID 3964376
  • - Research Article

Aphid Identification and Counting Based on Smartphone and Machine Vision

Suo Xuesong | Liu Zi | ... | Zhao Yang
  • Special Issue
  • - Volume 2017
  • - Article ID 3296874
  • - Review Article

A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

Adrian Carrio | Carlos Sampedro | ... | Pascual Campoy
  • Special Issue
  • - Volume 2017
  • - Article ID 9374870
  • - Research Article

A Nonlocal Method with Modified Initial Cost and Multiple Weight for Stereo Matching

Shenyong Gao | Haohao Ge | ... | Ying Zhang
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore1.990
Impact Factor2.024
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