A Model-Based Approach for Remote Development of Embedded Software for Object Avoidance Applications

The research and development of digital control sys-tems, embedded software and precise sensor measurement within the field of automated and autonomous robotics applications has increased significantly within the last decade. Based on these developments very complex, compute-intense tasks with real-time constraints in combination with Artificial Intelligence capabilities prepared the way for a new application field - so called “new aviation”. Within this research field various topics of robotics, embedded systems, power systems and vision systems play an important role. Moreover, the system developers and researchers within this industry need a profound knowledge in every technical discipline. This paper mainly focuses on tasks within the field of indoor navigation. This area of application can be utilized for logistics, maintenance and service tasks. The most important topic of indoor navigation tasks is the location determination and the orientation with no GPS position available. This paper introduces a model-based approach for remote development of embedded software for indoor object avoidance applications. This model-based approach helps to reduces the complexity of the implementation of multicore microcontroller applications with real-time constraints, which post-processes vision sensor data and utilizes them to automatically and au-tonomously orientate itself within an indoor environment.