Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | PhD School of the Association of Geographic Information Laboratories for Europe |
| Untertitel | Proceedings of the 3rd AGILE PhD School |
| Publikationsstatus | Veröffentlicht - 2015 |
| Veranstaltung | 3rd AGILE PhD School Association of Geographic Information Laboratories for Europe, AGILE PhD School 2015 - Champs sur Marne, Frankreich Dauer: 15 Sept. 2015 → 18 Sept. 2015 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 1598 |
| ISSN (Print) | 1613-0073 |
Abstract
The purpose of this research work is twofold. The first problem it attempts to address is the inference of regulators that control the traffic (i.e. traffic signs, traffic lights) for enriching maps with new features. The second is related with how we can assist the drivers by communicating the previously mined information in the context of driving safety. As data sources, we use in-car sensors which are accessed through CAN-Bus (spatial data and dynamic features of motion). We introduce the notion of road-regulation sensing and propose unsupervised methods for mining a subset of common traffic regulators. For detecting anomalous driving behaviour resulted from the violation of the valid local regulations, a probabilistic spatio-temporal approach is proposed based on modelling the routes at the places of interest (here, traffic regulators).
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- BibTex
- RIS
PhD School of the Association of Geographic Information Laboratories for Europe: Proceedings of the 3rd AGILE PhD School. 2015. (CEUR Workshop Proceedings; Band 1598).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Road regulation sensing with in-vehicle sensors
AU - Zourlidou, Stefania
AU - Sester, Monika
PY - 2015
Y1 - 2015
N2 - The purpose of this research work is twofold. The first problem it attempts to address is the inference of regulators that control the traffic (i.e. traffic signs, traffic lights) for enriching maps with new features. The second is related with how we can assist the drivers by communicating the previously mined information in the context of driving safety. As data sources, we use in-car sensors which are accessed through CAN-Bus (spatial data and dynamic features of motion). We introduce the notion of road-regulation sensing and propose unsupervised methods for mining a subset of common traffic regulators. For detecting anomalous driving behaviour resulted from the violation of the valid local regulations, a probabilistic spatio-temporal approach is proposed based on modelling the routes at the places of interest (here, traffic regulators).
AB - The purpose of this research work is twofold. The first problem it attempts to address is the inference of regulators that control the traffic (i.e. traffic signs, traffic lights) for enriching maps with new features. The second is related with how we can assist the drivers by communicating the previously mined information in the context of driving safety. As data sources, we use in-car sensors which are accessed through CAN-Bus (spatial data and dynamic features of motion). We introduce the notion of road-regulation sensing and propose unsupervised methods for mining a subset of common traffic regulators. For detecting anomalous driving behaviour resulted from the violation of the valid local regulations, a probabilistic spatio-temporal approach is proposed based on modelling the routes at the places of interest (here, traffic regulators).
UR - http://www.scopus.com/inward/record.url?scp=84977563691&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84977563691
T3 - CEUR Workshop Proceedings
BT - PhD School of the Association of Geographic Information Laboratories for Europe
T2 - 3rd AGILE PhD School Association of Geographic Information Laboratories for Europe, AGILE PhD School 2015
Y2 - 15 September 2015 through 18 September 2015
ER -