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Here, we introduce a robust minimal perception solution, that is, one that uses minimal constraints for maximal benefits. Specifically, we introduce a robust particle\u2010filter\u2010based method to estimate and track the posture of a flexible hydraulic crane by using only low\u2010cost equipment, namely, a two\u2010dimensional (2D) laser scanner, two short magnetically attached metal tubes as targets, and an angle sensor. An important feature of our method is that it incorporates control signals for hydraulic actuators. In contrast to the previous works employing laser scanners, we do not use the full shape of the crane to estimate the crane posture, but, instead, we use only two small targets in the field of view of the laser scanner. Thus, a large share of the range data is useful for other purposes, for example, to map the surrounding environment. We test the proposed method in a challenging forest environment and show that the particle filter is able to estimate the posture of the hydraulic crane efficiently and reliably in the presence of occlusions and obstructions. During our comprehensive testing, the tip position was measured with average errors smaller than 4.3 cm whereas the absolute maximum error was 15 cm.<\/jats:p>","DOI":"10.1002\/rob.21793","type":"journal-article","created":{"date-parts":[[2018,6,26]],"date-time":"2018-06-26T15:32:12Z","timestamp":1530027132000},"page":"1025-1049","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Forestry crane posture estimation with a two\u2010dimensional laser scanner"],"prefix":"10.1002","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4664-6221","authenticated-orcid":false,"given":"Heikki","family":"Hyyti","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Automation Aalto University Aalto Finland"},{"name":"Finnish Geospatial Research Institute Masala Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8856-5919","authenticated-orcid":false,"given":"Ville V.","family":"Lehtola","sequence":"additional","affiliation":[{"name":"Finnish Geospatial Research Institute Masala Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6253-8357","authenticated-orcid":false,"given":"Arto","family":"Visala","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Automation Aalto University Aalto Finland"}]}],"member":"311","published-online":{"date-parts":[[2018,6,26]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_10_2_1","DOI":"10.1109\/78.978374"},{"doi-asserted-by":"publisher","key":"e_1_2_10_3_1","DOI":"10.4173\/mic.2013.4.1"},{"doi-asserted-by":"publisher","key":"e_1_2_10_4_1","DOI":"10.1007\/978-3-540-30301-5_47"},{"doi-asserted-by":"publisher","key":"e_1_2_10_5_1","DOI":"10.1109\/MSP.2007.4286566"},{"doi-asserted-by":"publisher","key":"e_1_2_10_6_1","DOI":"10.1109\/TIM.2011.2121191"},{"doi-asserted-by":"publisher","key":"e_1_2_10_7_1","DOI":"10.1109\/100.740465"},{"unstructured":"CranabA. 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