Anomaly Stop Detection by Smartphone
- 10.2991/jrnal.2014.1.1.1How to use a DOI?
- Smartphone, Geographic Information System, Safety Map, Social Network Service, Anomaly Detection
This paper proposes a method for detecting anomaly stop events from GPS logs of a vehicle recorded by smartphone. Despite of many researches of strong braking event detection are proposed, they cannot discriminate between a normal and an abnormal braking event. Our proposal includes an IMAC model for GPS based map generation and an algorithm for anomaly stops detection based on the acquired map. The real world experiment shows our map generation method and its anomaly stop detection rule works well.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Viet Chau Dang AU - Masao Kubo AU - Hiroshi Sato AU - Tomohiro Shirakawa AU - Akira Namatame PY - 2014 DA - 2014/06/30 TI - Anomaly Stop Detection by Smartphone JO - Journal of Robotics, Networking and Artificial Life SP - 2 EP - 6 VL - 1 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2014.1.1.1 DO - 10.2991/jrnal.2014.1.1.1 ID - Dang2014 ER -