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Recent advancements have spotlighted Daum\u2013Huang filters as formidable contenders, outshining both the extended Kalman filters and traditional particle filters in various scenarios. We introduce two new Daum\u2013Huang-based localization algorithms and assess their tracking performance through comprehensive simulations and real-world trials. Our algorithms are benchmarked against various methods, including the widely acclaimed Adaptive Monte\u2013Carlo Localization algorithm. Overall, our algorithm demonstrates superior performance compared to the baseline models in simulations and exhibits competitive performance in the evaluated real-world application.<\/jats:p>","DOI":"10.1007\/s40747-025-01810-2","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T02:35:51Z","timestamp":1740710151000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4774-3330","authenticated-orcid":false,"given":"Domonkos","family":"Csuzdi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1487-9672","authenticated-orcid":false,"given":"Tam\u00e1s","family":"B\u00e9csi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3388-1724","authenticated-orcid":false,"given":"P\u00e9ter","family":"G\u00e1sp\u00e1r","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7288-5229","authenticated-orcid":false,"given":"Oliv\u00e9r","family":"T\u00f6r\u0151","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,28]]},"reference":[{"issue":"2","key":"1810_CR1","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1109\/70.75902","volume":"7","author":"IJ Cox","year":"1991","unstructured":"Cox IJ (1991) Blanche\u2014an experiment in guidance and navigation of an autonomous robot vehicle. 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