Improvement of the diagnostic tool for visual representation of vehicle signals

Because of the constant improvement of automotive technology and the introduction of many new advanced driver assistance systems, vehicle communication is getting more complicated every day, with more data being transferred. A big part of the automotive technology development process is testing. Autonomous driving testing is a complex process, which is important both during the development and with the finished product. The focus of this paper are diagnostic tools used during this testing, specifically, diagnostic tools for live visual representation of vehicle signals. The result of the research shows what a modern visualization diagnostic tool in the automotive industry needs to contain. After a thorough analysis of existing applications of this type, the issues regarding application scaling and signal lag and synchronization were described. Also, a lack of controls and unclear visual representation were noticed. Based on these issues, the proposed solution suggests how this type of application can be improved, by both fixing the mentioned issues, and also expanding the application so that the improved application meets all the needs. The evaluation showed that the improved application offers a more precise representation of the signals, in addition to being more user-friendly. Furthermore, with additional controls, the solution improves the process of automotive real-time testing.