The current paper represent IoT indoor measurement system for real time monitoring of the particulate matter such as PM1.0, PM2.5 and PM10. Also the environment parameters such as temperature and humidity is accomplished. The operational stability and long term performance are measured and analyzed. The measurement system send the data to the remote server when the particulate matter levels are calculated on 24h base and compared to the national standards. The system also allows Bluetooth connectivity to nearby receivers such as mobile phones to show the real-time PM levels.

The paper represents the smart measurement and communication system for the in-vehicle environment monitoring. It measures and sends to the base station different type of environment parameters such as the internal temperature and humidity, the external temperature and humidity, the vehicle dynamics via MEMS inertial sensor and air quality by digital gas sensor. Additionally, the driver seat is continuously weighed on a weighing scale and all measurement data are transmitted to the smart phones or Wireless Sensor Network (WSN). The system activity is controlled by the RTC or inertial sensor alarms preliminary configured by the microcontroller.

The development of unmanned ground vehicles and unmanned aerial vehicles requires high-precision navigation due to the autonomous motion and higher traffic intensity. The existing L1 band GNSS receivers are a good and cheap decision for smartphones, vehicle navigation, fleet management systems, etc., but their accuracy is not good enough for many civilian purposes. At the same time, real-time kinematic (RTK) navigation allows for position precision in a sub-centimeter range, but the system cost significantly narrows this navigation to a very limited area of applications, such as geodesy. A practical solution includes the integration of dual-band GNSS receivers and inertial sensors to solve high-precision navigation tasks, but GNSS position accuracy may significantly affect IMU performance due to having a great impact on Kalman filter performance in unmanned vehicles. The estimation of dilution-of-precision (DOP) parameters is essential for the filter performance as the optimality of the estimation in the filter is closely connected to the quality of a priori information about the noise covariance matrix and measurement noise covariance. In this regard, the current paper analyzes the DOP parameters of the latest generation dual-band GNSS receivers and compares the results with the L1 ones. The study was accomplished using two types of antennas—L1/L5 band patch and wideband helix antennas, which were designed and assembled by the authors. In addition, the study is extended with a comparison of GNSS receivers from different generations but sold on the market by one of the world’s leading GNSS manufacturers. The analyses of dilution-of-precision (DOP) parameters show that the introduction of dual-band receivers may significantly increase the navigation precision in a sub-meter range, in addition to multi-constellation signal reception. The fast advances in the performance of the integrated CPU in GNSS receivers allow the number of correlations and tracking satellites to be increased from 8–10 to 24–30, which also significantly improves the position accuracy even of L1-band receivers.

The current paper describes an innovative navigation system based on GPS receiver and high speed 9 DoF IMU based on MEMS inertial sensors (3D linear accelerometer and 3D magnetometer and 3D gyroscope) which accomplishes the real-time read of the navigation and inertial data and write to FLASH memory. Also the system may transmit the data by Bluetooth or GPRS modem connected externally to the remote server. All systems and devices are connected to the microcontroller by independent interfaces which allows parallel read and write using interrupts which allows operating at very high speed (10 Hz for GPS receiver and 200 Hz for IMU system) to decrease significantly the inertial system errors.

The current paper discusses the design of the pollution and communication system which is capable to measure the H 2 S levels in very low concentrations in ppb range. The system also reads the temperature and humidity values from the analog output values and send the measured values to the remote server via GSM/GPRS connection, which are stored in MySQL table for further analysis and visualization. This part represents the methods and algorithms to obtain the values of the analog inputs using digital signal processing of the data, measured by integrated 10-bit SAR ADC.

All vehicles emit fine particles into the air during the braking due to the tyres and brakes friction. The brakes may be the most significant particulate matter (PM) contributor, especiallyin places with a high traffic density and braking frequency. As the PM particles are associated with different respiratory symptoms even sometimes with a premature death it is important to analysed the PM emitted by the automotive brakes and their distribution from PM0.3 to PM10. The current paper discusses the measurement and analysis of the PM particle sizes from 0.3µm to 10µm during the slow down process, their time and size distribution according to the brake intensity.