{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:27:02Z","timestamp":1754162822531,"version":"3.41.2"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/iros40897.2019.8967763","type":"proceedings-article","created":{"date-parts":[[2020,1,30]],"date-time":"2020-01-30T23:53:51Z","timestamp":1580428431000},"page":"4615-4622","source":"Crossref","is-referenced-by-count":2,"title":["Pedestrian Density Prediction for Efficient Mobile Robot Exploration"],"prefix":"10.1109","author":[{"given":"Marc Patrick","family":"Zapf","sequence":"first","affiliation":[{"name":"CR\/RTC5-AP, Bosch (China) Investment Co. Ltd.,P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Motoaki","family":"Kawanabe","sequence":"additional","affiliation":[{"name":"Advanced Telecommunications Research Institute International,Department of Dynamic Brain Imaging,Kyoto,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis Yoichi Morales","family":"Saiki","sequence":"additional","affiliation":[{"name":"Nagoya University Institute of Innovation for Future Society,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","first-page":"1067","article-title":"Gaussian process kernels for pattern discovery and extrapolation","volume":"28","author":"wilson","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning"},{"key":"ref31","article-title":"Gaussian process models with parallelization and GPU acceleration","volume":"abs 1410 4984","author":"dai","year":"2014","journal-title":"ArXiv"},{"key":"ref30","first-page":"619","article-title":"Sparse greedy gaussian process regression","author":"smola","year":"2001","journal-title":"Advances in Neural Information Processing Systems 13"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2012.VIII.018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354193"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2660060"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref14","first-page":"1342","article-title":"Feature construction for inverse reinforcement learning","author":"levine","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-009-9121-3"},{"key":"ref16","article-title":"Deep inverse reinforcement learning","volume":"abs 1507 4888","author":"wulfmeier","year":"2015","journal-title":"CoRR"},{"journal-title":"Gaussian Processes for Machine Learning","year":"2006","author":"rasmussen","key":"ref17"},{"key":"ref18","article-title":"Real-time multisensor people tracking for human-robot spatial interaction","author":"dondrup","year":"2015","journal-title":"IEEE International Conference on Robotics and Automation"},{"key":"ref19","article-title":"Improving grid-based and slam with rao-blackwellized and particle and filters by adaptive and proposals and selective and resampling","author":"grisetti","year":"2005","journal-title":"IEEE International Conference on Robotics and Automation"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.453"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461157"},{"journal-title":"SciPy Open source scientific tools for Python","year":"2001","author":"jones","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-009-0041-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref29","first-page":"226","article-title":"A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining"},{"key":"ref5","article-title":"3dof pedestrian trajectory prediction learned from long-term autonomous mobile robot deployment data","author":"sun","year":"2017","journal-title":"IEEE International Conference on Robotics and Automation"},{"key":"ref8","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","author":"ziebart","year":"2008","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2009.5354147"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.20965\/jrm.2018.p0598"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509772"},{"key":"ref1","article-title":"Better motion prediction for people-tracking","author":"bruce","year":"2004","journal-title":"IEEE International Conference on Robotics and Automation"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/2.30720"},{"key":"ref22","first-page":"303","article-title":"Gaussian processes for signal strength-based location estimation","volume":"2","author":"ferris","year":"2007","journal-title":"Robotics Science and Systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2017.8115960"},{"journal-title":"GPy A Gaussian process framework in Python","year":"2012","key":"ref24"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.1109\/ICASSP.2013.6638313","article-title":"Modeling magnetic fields using gaussian processes","author":"wahlstroem","year":"2013","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2005.1570793"}],"event":{"name":"2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2019,11,3]]},"location":"Macau, China","end":{"date-parts":[[2019,11,8]]}},"container-title":["2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8957008\/8967518\/08967763.pdf?arnumber=8967763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T18:44:31Z","timestamp":1753901071000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8967763\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/iros40897.2019.8967763","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}