We 1 propose a real-time system for indoor/outdoor localization of first responders in emergency situations based on networking of wearable devices and cloud-based GNSS (Global Navigation Satellite Systems) augmentation. We present outdoor tests that validate this concept. With good network geometry, accuracy of the indoor positioning is similar to the accuracy commonly achieved outdoors by GNSS. CCS CONCEPTS• Computer systems organization → Embedded systems • Hardware → Communication hardware, interfaces and storage → Wireless device.

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Latest generation of vehicle tracking devices relies not only on Global Positioning System (GPS) but also uses a low-cost Micro-Electro-Mechanical Systems (MEMS) accelerometers. This combination supports new services as driving style characterization and Automatic Crash Notification (ACN). Focus will be on practical considerations of such telematics unit. Work will consider boundaries of allowed errors and minimal requirements for sensors and mounting requirements. Sensor range for crash detection and impact angle estimation was tested on field trials with two units containing accelerometers range of 18g and 2g. Kinematic orientation of vehicle is evaluated in series of fieldThe second run of experiments considers dynamic range and sampling rate of sensors during collision. Sensor range of 8g (typical for current telematics devices) can be used to detect crash without accurate knowing of impact angle.

Modern telematics devices use MEMS sensors to provide new features such as characterization of driving events and crashes. Accurate reporting requires information on device to vehicle frame misalignment. Paper provides a simple method for in-motion azimuth alignment of a consumer grade inertial measurement unit. Testing is done using real vehicle in regular urban driving conditions. Presented methods estimate azimuth angle with standard deviation better than 1º.

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