{"title":"An accident detection technique using inertial measurement unit and odometry","authors":"Korrakot Surakul, Sucha Smanchat","doi":"10.1109/JCSSE.2016.7748899","DOIUrl":null,"url":null,"abstract":"Despite the prevention effort, car accident is still one of the major causes of death. Thus, to avoid as many casualties, helps and assistance should reach the accident sites as soon as possible. This can be enabled by quickly detecting the accidents and reporting them to the related official units. To this end, we propose an accident detection device using an inertial measurement unit (IMU) and 3G cellular module along with an accident detection method. Our detection approach combines both IMU sensory data and odometry in order to detect an accident and then send the accident coordinate over cellular network to be reported on a map. The preliminary result based on test scenarios proves the practicality of our approach with satisfactory detection rates.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2016.7748899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Despite the prevention effort, car accident is still one of the major causes of death. Thus, to avoid as many casualties, helps and assistance should reach the accident sites as soon as possible. This can be enabled by quickly detecting the accidents and reporting them to the related official units. To this end, we propose an accident detection device using an inertial measurement unit (IMU) and 3G cellular module along with an accident detection method. Our detection approach combines both IMU sensory data and odometry in order to detect an accident and then send the accident coordinate over cellular network to be reported on a map. The preliminary result based on test scenarios proves the practicality of our approach with satisfactory detection rates.