SLAM map application for tracking lights on car dashboards

Recent studies conducted by some insurance companies highlighted that the most part of drivers do not know the meaning of the dashboard lights. This leads drivers to be dangerous for others and themselves. Hence, the need to provide drivers with tools that support them to always be aware of the state of their cars. This paper proposes a system for mobile devices that uses augmented reality to be able to give information on a particular dashboard lights. The system is implemented by combining the use of Simultaneous Localization and Mapping (SLAM) maps with central moment computation widely used in computer vision. Preliminary research results show that the proposed system achieves its goal enables a a real-time visual feedback.