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Depth Resolution of 3D Imaging Techniques for Target Detection in Mobile Work Machines

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)
PublisherIEEE
Pages295-300
Number of pages6
ISBN (Electronic)978-1-7281-3140-5
ISBN (Print)978-1-7281-3141-2
DOIs
Publication statusPublished - 17 Oct 2019
Publication typeA4 Article in a conference publication
EventInternational Symposium on Image and Signal Processing and Analysis -
Duration: 1 Jan 1900 → …

Publication series

NameInternational Symposium on Image and Signal Processing and Analysis
ISSN (Print)1845-5921
ISSN (Electronic)1849-2266

Conference

ConferenceInternational Symposium on Image and Signal Processing and Analysis
Period1/01/00 → …

Abstract

3D imaging is important for enabling autonomous operation of smart mobile work machines. Different sensing techniques have different characteristics, which affect the choice of sensors for each application. We study the depth resolution of three different active imaging technologies and stereoscopic depth estimation with multiple different baselines. We test the effect of depth measurement abilities in measuring average depth, angles between planar structures and diameter from logs. Active sensors show their robustness, while stereoscopic depth estimation follows the error behavior expected from the theory. However, in practice we find that the effect of poor depth resolution can be significantly reduced by averaging over multiple measurements from different points and using more sophisticated stereo processing.

Keywords

  • image resolution, image sensors, industrial robots, object detection, robot vision, stereo image processing, 3D imaging techniques, target detection, autonomous operation, smart mobile work machines, sensing techniques, stereoscopic depth estimation, multiple different baselines, depth measurement abilities, average depth, planar structures, active sensors, poor depth resolution, active imaging technologies, Sensors, Cameras, Measurement, Image resolution, Three-dimensional displays, Pallets, 3D imaging, stereo, Time-of-Flight, LIDAR, depth resolution

Publication forum classification

Field of science, Statistics Finland