Driving word2vec: Distributed semantic vector representation for symbolized naturalistic driving data
| Autor: | Takashi Bando, Yusuke Fuchida, Toshiaki Takano, Kazuhito Takenaka, Takuma Mori, Tadahiro Taniguchi |
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| Rok vydání: | 2016 |
| Předmět: |
Structure (mathematical logic)
050210 logistics & transportation business.industry Computer science 05 social sciences Advanced driver assistance systems Representation (arts) computer.software_genre 01 natural sciences 010104 statistics & probability Semantic computing 0502 economics and business Information system Word2vec Computer vision Artificial intelligence 0101 mathematics Double articulation business Set (psychology) computer Natural language processing |
| Zdroj: | Intelligent Vehicles Symposium |
| DOI: | 10.1109/ivs.2016.7535560 |
| Popis: | This study describes driving word2vec (DW2V), a new method for forming semantic representations of naturalistic driving data (NDD). To use big NDD for developing driver assistance systems or other information services, it is important to compress large amounts of data into an abstract and compact representation without losing semantic information. For this purpose, this study uses a symbolization method using a double articulation analyzer (DAA) assuming that NDD and human speech signals share an analogous structure, called a double articulation structure. The DAA can encode driving behavior data into sequences of driving words. However, the amount of semantic information contained in these sequences has not been clarified. Very few attempts have been made to develop a method for obtaining an adequate semantic representation of driving words that explains the relationship between different driving words. DW2V uses word2vec, proposed by Mikolov et al., to make a system learn the distributed semantic vector representation of symbolized naturalistic driving data (SNDD). Through experiments, we show that DW2V can restore the semantic relationships between different driving scenes from only a set of sequences of driving words, i.e., SNDD. In addition to quantitative analysis, a qualitative analysis of DW2V and its potential applications are discussed. |
| Databáze: | OpenAIRE |
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