Neural networks based on the 1С:enterprise 8.3 platform in data analysis systems for self-driving cars

Abstract

The development of self-driving cars in the modern world is accelerating every year, and it is obvious that the safe movement of such cars is impossible without special fault-tolerant software tools. With the improvement of technology, such software tools increasingly include elements of artificial intelligence. Currently, on the basis of flexible mechanisms of the 1C:Enterprise 8.3 platform, an application solution is being developed that allows to analyze the behavior of an self-driving car on a public road. Such software can be used in the educational activities of students in areas related to mathematical statistics, as well as to study mathematical methods that optimize the operation of the on-board computer of a driving self-driving car. Considering the growth of educational programs, which include the study of applied solutions and the development of such solutions on the 1C:Enterprise 8.3 platform, the use of the software in question in the educational process is available to students, useful and interesting for them. The presence of a large number of reports using the data layout system will allow to analyze the movement of self-driving cars in precisely those sections that are necessary for a student or researcher to conduct research activities.