Lidar scan feature for localization with highly precise 3-D map
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Year
: 2014DOI: 10.1109/WI-IAT.2014.157
Keyword(s): information filters,multi-agent systems,classical context identification,context computation optimization,context computation process,information filters,large simulations,multiagent simulations,multiagent-based simulation model,Algorithm design and analysis,Computational modeling,Context,Context modeling,Data models,Proposals,Vehicles,Multiagent simulation,agent modeling,context computation,multiagent scheduling
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Lidar scan feature for localization with highly precise 3-D map
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| 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 | |
| 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. |