## 7 Conclusions  
This work brings a better understanding of the behavior of the ultrasonic signal inside the sensor and the factors that affect its behavior. At the same time, this work describes the relationships of individual physical quantities (amplitude, runtime, etc.). Based on this, the system of sensor validation and setting of some calibration parameters was modified, which ultimately led to an increase in the reliability of measurement by the sensor, which is used in cars. The measurement accuracy of the oil level was improved by adaptation of the setting of the measurement's parameters, specifically the amplification of receiving echo based on oil temperature. which increases the accuracy of the measurement across the whole temperature range.  
One significant improvement achieved through this research is the enhanced accuracy of oil level measurements. By adapting the measurement parameters, particularly by amplifying the received echo based on oil temperature, the measurement accuracy is improved across the entire temperature range. Statistical methods such as ANOVA and regression analysis were employed to adjust the amplitude of the envelope, leading to increased sensitivity in detecting the envelope height threshold. By utilizing this approach, the researchers were able to precisely describe the temperature dependence and effectively minimize it in the measurements.  
In addition to the improvements made to the measurement accuracy, the study also investigated the possibility of reducing the effects of temperature on the signal envelope. The researchers found that the signal envelope is strongly affected by temperature, which can lead to errors in the measurement. However, by using statistical methods to modify the appearance of the detected envelope, it was possible to reduce this dependence to a negligible minimum.  
The study also found that the characteristics of the probe used can have a significant impact on the accuracy of the measurement. The researchers suggest that further improvements can be achieved by developing more sophisticated probes, or by optimizing the existing probes to reduce the effects of environmental factors such as temperature and humidity.  
Overall, the study provides valuable insights into the behavior of ultrasonic signals and their application in automotive sensors. By improving the reliability and accuracy of these sensors, it is possible to enhance the safety and efficiency of automobiles, and to provide better feedback to drivers about the status of their vehicles.  
The significance and value of this study also is that measurement precision can be compensated for without knowledge of other parameters. The performed regression analysis shows a strong dependence on the temperature and level of the oil, and the envelope of the reflected signal depends on the level and temperature of the oil.  
In conclusion, this research holds important implications for the automotive industry, serving as a foundation for further advancements in the field of oil level measurement. Bycontinually refining the technology employed in automotive sensors, vehicles can become safer, more efficient, and more reliable.  
Through the optimization process, the accuracy of the sensor has been significantly improved, surpassing 99%. This optimization has effectively addressed the sensor's issues related to inclination. The improvements made have successfully eliminated any problems or inaccuracies associated with the sensor's performance under inclined conditions. As a result, the sensor now provides highly accurate measurements even in situations where inclination was previously a challenge.