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.
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