Sensors and Advanced Sensing Techniques for Computer Vision Applications

This is a reprint of the Special Issue on “Sensors and Advanced Sensing Techniques for Computer Vision Applications” aims to address many topics related to the challenging problems of computer vision and pattern recognition in conjunction with the emerging field of deep learning and remote sensing. As a result of the open call for papers, papers related to deep learning, neural networks, and soft computing have been accepted after a rigorous peer review process and assessed for their technical merit and relevance. The featured articles cover applications in the following fields: Deep learning for 2D/3D object recognition and classification; Autonomous navigation and robotic agents; Data augmentation in computer vision; Image fusion, segmentation, and classification from different sensors; Parallel Machine Learning; Photogrammetry and 3D point clouds; Multidisciplinary applications of deep learning, pattern recognition, and computer vision for driving assisting systems and aircraft industry.This reprint could serve as a valuable handbook for engineers being able to work on interdisciplinary topics and integrate technologies that eventually converge.