Comparison of Consumer-Grade MEMS IMUs in UBI Context
Abstract: Road traffic has many negative socioeconomic impacts on society. A key problem is the risk of deadly accidents. The risk, to a high extend is reduced in developed societies. However, the accidents are still ubiquitous. There are various approaches for reducing accidents such as improving the infrastructure, educating better drivers and incentivizing drivers for driving safe. For the latter, the way is to analyse driving behaviour and this is possible using sensors such as inertial measurement units (IMU) without hindering privacy. Insurance companies approach this issue via Usage Based Insurance (UBI) products, where the premium is dynamically calculated by evaluating the driver based on measuring vehicle dynamics and other contextual data. Due to utilization of devices that use different IMUs, generalization of measured data is an issue for correct evaluation and fairness.The thesis deals with providing tools for filling the evaluation gap of IMUs for this purpose. The study began with a survey involving IMUs in the market. Considering technical and economic aspects, the most suitable ones were selected for evaluation. A modular system called quad-IMU (QIMU) was designed and developed. A selected IMU (BMI160) was incorporated into a QIMU and compared to two widely used IMUs in two scenarios; harsh breaking and static measurement using raw digital linear acceleration measurements. Root mean square errors (RMSE) showed that the BMI160 outperformed the others by approximately one and two orders of magnitude, respectively. The QIMU showed to be a promising framework that needs to be explored further for evaluating IMUs in-house in a rapid, low-cost and reliable manner.
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