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
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore3.900
Impact Factor1.595
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