Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems
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Year
: 2014DOI: 10.1109/PerComW.2014.6815159
Keyword(s): data acquisition,n pattern classification,n radiofrequency identification,n smart phones,n NFC function,n RFID tagging,n RFID-based annotations,n daily life,n expert-verified annotations,n expert-verified variant,n pattern classification,n personalised phone placement recognition,n phone placement recordings,n phone sites,n phone-integrated sensors,n smartphones,n training data acquisition,n Accuracy,n Context,n Context modeling,n Data
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Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems
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| contributor author | Schreier, Matthias | |
| contributor author | Willert, Volker | |
| contributor author | Adamy, Jurgen | |
| date accessioned | 2020-03-12T21:46:10Z | |
| date available | 2020-03-12T21:46:10Z | |
| date issued | 2014 | |
| identifier other | 6957713.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1059806 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8191385 | |
| subject keywords | data acquisition | |
| subject keywords | n pattern classification | |
| subject keywords | n radiofrequency identification | |
| subject keywords | n smart phones | |
| subject keywords | n NFC function | |
| subject keywords | n RFID tagging | |
| subject keywords | n RFID-based annotations | |
| subject keywords | n daily life | |
| subject keywords | n expert-verified annotations | |
| subject keywords | n expert-verified variant | |
| subject keywords | n pattern classification | |
| subject keywords | n personalised phone placement recognition | |
| subject keywords | n phone placement recordings | |
| subject keywords | n phone sites | |
| subject keywords | n phone-integrated sensors | |
| subject keywords | n smartphones | |
| subject keywords | n training data acquisition | |
| subject keywords | n Accuracy | |
| subject keywords | n Context | |
| subject keywords | n Context modeling | |
| subject keywords | n Data | |
| identifier doi | 10.1109/PerComW.2014.6815159 | |
| journal title | ntelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on | |
| filesize | 769306 | |
| citations | 0 |