The objective of this study is to examine the Radar Cross Section (RCS) of instruments designed for Autonomous Driving Systems (ADAS) testing, with the intention of comparing the results to those of actual human subjects. The RCS values of both dummy and platform objects were documented at varying distances and positions, with the objective of ascertaining the extent to which dummies can serve as substitutes for human values in vehicle radar sensing tests. The findings, substantiated by graphical representations and statistical analyses (e.g., Pearson and Spearman correlation), reveal a moderately strong positive correlation between the RCS and human values, which is statistically significant. The outcomes of the tests demonstrate that the developed instruments can substitute for real human radar cross-section values within the range of 5-15 m. However, as the distance increases, larger deviations are observed. These discrepancies underscore the necessity for a refinement of the dummy design in future ADAS tests, ensuring that distance-sensitive tests accurately reflect real human measurements.

The accuracy and efficiency of soil stabilization works are key to ensuring the durability of roads. During the conducted research, a GPS-based (global positioning system) tracking system was developed that can monitor the movement of soil stabilization vehicles in real time, recording the exact location and working width of the stabilized road sections. The system’s software solutions enable the conversion of location coordinates from the WGS84 (World Geodetic System) system to EOV (EOV as Uniform National Projection system) format and visualization of the results in AutoCAD. The developed tool can significantly contribute to the improvement of the quality control of soil stabilization works, as the development of road defects resulting from stabilization errors can be reduced with the help of documentation and visualization. During the testing of this system, the development proved to be successful and provides an opportunity to perform soil stabilization processes more efficiently and reliably, thereby improving the service life of road surfaces and traffic safety.