Scanning Network for Solving Navigation Problems of Autonomous Vehicles

Abstract

The paper analyzes the increase in the intellectual capabilities of industrial Functional Networking Components due to the Industrial IoT concept being introduced into production. The intellectualization of mechatronic components, as part of the Functional Networking Components, has become a catalyst for the development of security systems in the interaction of humans and autonomous mobile transport devices, and control systems for these devices. This has led to the development of new sensor systems, wireless communication interfaces and navigation algorithms. The paper proposes a model of a scanning information and navigation system, consisting of distributed scanning cells matrix developed on FPGA. Each scanning cell has a specific area of responsibility and interacts with the nearest cells. The scanning system makes it possible to realize in real time the tasks of navigation and route planning by mobile autonomous devices. In addition, scanning information and navigation system permits to localize the movement of mobile devices and personnel. Scanning information and navigation system allows providing the necessary assistance in real time to all traffic participants in their area of responsibility in case of emergency. The development of the scanning cells computing core was based on the FPGA digital non-volatile matrix MAX 10 family of INTEL brand. While creating a communication link for scanning cell based on FPGA, Data-Strobe coding, with an LVDS signal level, showed a good result. LVDS - levels have high noise immunity and energy efficiency, which is important in an industrial environment with a high level of interference. The simulation results of control applications prototype of the scanning cell, the technical characteristics of the resources necessary for its creation are presented. Algorithms for the interaction of a scanning information and navigation system and mobile stand-alone devices are discussed.