{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T07:41:08Z","timestamp":1775547668180,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T00:00:00Z","timestamp":1527033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Pulse-based Time-of-Flight (PB-ToF) cameras are an attractive alternative range imaging approach, compared to the widely commercialized Amplitude Modulated Continuous-Wave Time-of-Flight (AMCW-ToF) approach. This paper presents an in-depth evaluation of a PB-ToF camera prototype based on the Hamamatsu area sensor S11963-01CR. We evaluate different ToF-related effects, i.e., temperature drift, systematic error, depth inhomogeneity, multi-path effects, and motion artefacts. Furthermore, we evaluate the systematic error of the system in more detail, and introduce novel concepts to improve the quality of range measurements by modifying the mode of operation of the PB-ToF camera. Finally, we describe the means of measuring the gate response of the PB-ToF sensor and using this information for PB-ToF sensor simulation.<\/jats:p>","DOI":"10.3390\/s18061679","type":"journal-article","created":{"date-parts":[[2018,5,24]],"date-time":"2018-05-24T02:55:43Z","timestamp":1527130543000},"page":"1679","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Pulse Based Time-of-Flight Range Sensing"],"prefix":"10.3390","volume":"18","author":[{"given":"Hamed","family":"Sarbolandi","sequence":"first","affiliation":[{"name":"Institute for Vision and Graphics, University of Siegen, 57068 Siegen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1582-4662","authenticated-orcid":false,"given":"Markus","family":"Plack","sequence":"additional","affiliation":[{"name":"Institute for Vision and Graphics, University of Siegen, 57068 Siegen, Germany"}]},{"given":"Andreas","family":"Kolb","sequence":"additional","affiliation":[{"name":"Institute for Vision and Graphics, University of Siegen, 57068 Siegen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.compag.2015.12.014","article-title":"Automated multiple fish tracking in three-Dimension using a Structured Light Sensor","volume":"121","author":"Saberioon","year":"2016","journal-title":"Comput. 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