Thermal imaging methods of environmental observation are often accompanied by the need to quantify the temperature distribution on the object’s surfaces. In such cases, the accuracy of modeling the information conversion processes that occur in thermal imaging systems is essential. All questions concerning the determination of thermal imagers temperature resolution are important. Experimental methods for determining temperature resolution in this sense are quite unambiguous and well-established in practice. And calculation methods are still being refined and are of interest to the scientific community. The article is devoted to the development of practical methods for calculating the thermal imagers temperature resolution. Such methods must be on the hand one accurate enough, and on the other hand - simple enough to be used in design organizations. The definition of the calculations error is also considered. The calculation model is based on the concept of equivalent noise temperature difference NETD as the most general characteristic of energy transformations in thermal imaging observations. The definition of NETD is based on the use of the thermal imager signal transmission function. A simplified version of the calculation method and an example of determining the temperature resolution for a thermal imager with a microbolometric matrix detector are presented. Such thermal imagers currently occupy a significant part of the market and the calculation of the characteristics of the device with a standard specification may be of interest to specialists. The influence of some elements of the mathematical information transformations model on the temperature resolution is shown. For example, as the background temperature increases, the temperature resolution decreases. The analysis of the proposed calculation model allowed us to outline ways to improve (reduce) temperature resolution. A feature of the developed methods is the possibility of their use for different thermal imaging systems, for example, for polarizing thermal imagers.
Problems. The analysis of statistical data shows that from year to year there are more and more vehicles on public roads, as result, the number of accidents increases and the risk for each road user increases. To ensure road safety, automakers are implementing driver assistance systems and cars with autonomous control elements. Such systems are capable of analyzing the environment and in the dangerous situations can correct the driver's actions or taking control of the vehicle. Typically, such systems work with the television systems help, one of the requirements for which is a wide angle of view. However, the main disadvantage of wide-angle systems is the large distortion, ie the geometric distortion of the similarity between the object and its image. Objective. Develop an approach and algorithm for calibration of wide-angle cameras for autonomous driving. Methods. Analysis and modeling of television car control system and its calibration. Results. A comparison of wide-angle and conventional television systems was performed, each was calibrated and the analysis of the location of road signs of each of the systems was performed. Conclusions. It has been shown that for the purposes of driving a car, it is possible to use wide-angle television systems with their subsequent calibration to eliminate geometric distortion between the object and its image. It is possible to use wide-angle television car control systems with a large value of distortion after its calibration. Studies have shown that the IoU metric on a wide-angle camera is almost the same as on a conventional camera, and the road sign was found even at the edge of the field of view. The application of the developed method of calibration of wide-angle cameras in experiments preserves the geometric similarity between the object and its image at a much larger angle of view in such a camera. Image processing time is insignificant, because the current level of computer power allows you to process such operations in real time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.