date accessioned | 2020-03-12T20:11:32Z | |
date available | 2020-03-12T20:11:32Z | |
date issued | 2014 | |
identifier other | 6856596.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1005329?locale-attribute=fa&show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Lidar scan feature for localization with highly precise 3-D map | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8126761 | |
subject keywords | information filters | |
subject keywords | multi-agent systems | |
subject keywords | classical context identification | |
subject keywords | context computation optimization | |
subject keywords | context computation process | |
subject keywords | information filters | |
subject keywords | large simulations | |
subject keywords | multiagent simulations | |
subject keywords | multiagent-based simulation model | |
subject keywords | Algorithm design and analysis | |
subject keywords | Computational modeling | |
subject keywords | Context | |
subject keywords | Context modeling | |
subject keywords | Data models | |
subject keywords | Proposals | |
subject keywords | Vehicles | |
subject keywords | Multiagent simulation | |
subject keywords | agent modeling | |
subject keywords | context computation | |
subject keywords | multiagent scheduling | |
identifier doi | 10.1109/WI-IAT.2014.157 | |
journal title | ntelligent Vehicles Symposium Proceedings, 2014 IEEE | |
filesize | 2505329 | |
citations | 0 | |
contributor rawauthor | Yoneda, K. , Tehrani, H. , Ogawa, T. , Hukuyama, N. , Mita, S. | |