Smartphone-based identification of dangerous driving situations: Algorithms and implementation
| Autor: | Alexander Smirnov, Alexey Kashevnik, Igor Lashkov, Olesya Baraniuc, Vladimir Parfenov |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 664, Iss 18, Pp 306-313 (2016) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 |
| DOI: | 10.1109/FRUCT-ISPIT.2016.7561543 |
| Popis: | In this paper, we demonstrate the concept of the situation analysis of dangerous driving events for smartphones to fully understand the driving situation in a given scenario in a real time and to undertake actions necessary to avoid road accidents. To fulfil these, we utilize a wide array of sensors for creating a consistent and extendable description of most common dangerous situations, a situation model and situation analysis. In the situation model, on-board smartphone sensing signals are used to build up a representation of the environment around and within the vehicle. On top of the situation model, a situation analysis is established to detect driver hazards, according to the given description of the driving situation, and provide a driving strategy to prevent such dangerous situations. The paper describes the details of the algorithms, following by simulation results, which show the feasibility of the proposed algorithm. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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