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Real-time short-term pedestrian trajectory prediction based on gait biomechanics
| dc.contributor.author | González, L. | |
| dc.contributor.author | López Rodríguez, Antonio Miguel | |
| dc.contributor.author | Álvarez Álvarez, Juan Carlos | |
| dc.contributor.author | Álvarez Prieto, Diego | |
| dc.date.accessioned | 2023-04-25T10:12:06Z | |
| dc.date.available | 2023-04-25T10:12:06Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Sensors, 22(15) (2022); doi:10.3390/s22155828 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | http://hdl.handle.net/10651/67435 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Sensors | |
| dc.rights | © 2022 Los autores | |
| dc.rights | CC Reconocimiento 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136342591&doi=10.3390%2fs22155828&partnerID=40&md5=8878b3c82134af159fe957b398ddefe3 | |
| dc.title | Real-time short-term pedestrian trajectory prediction based on gait biomechanics | |
| dc.type | journal article | |
| dc.identifier.doi | 10.3390/s22155828 | |
| dc.relation.publisherversion | http://dx.doi.org/10.3390/s22155828 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | VoR |
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