Читать книгу Unmanned Aerial Vehicles for Internet of Things (IoT) - Группа авторов - Страница 14

According to the research, it is found that UAVs have powerful applications in both civil as well as in the military. With their mobility, low-cost, safety & reliability, now UAVs can replace a manned-aerial vehicle in similar tasks as well as outperform them in many curriculums. However, several usage challenges have to be overcome first and one of these challenges is the avoidance of collision with the other objects. For proper use and advancement, UAVs must have the feature of avoiding collision with both static and moving obstacles. It is quite similar to that of mobile robots & air traffics. UAVs have unique characteristics that make them considerable and interesting research ground. Vision-based UAV navigation is a slight modification of this because UAVs are unable to perceive their surrounding environment clearly and therefore they act accordingly due to limitations in the perception ability of their sensors and in communication [5]. A considerable amount of work is done to improve this weakness. However, a still effective and systematic method is needed to be developed. Hence, high-performance robust autonomous navigation is of immense importance.

Apart from this, there is also one significant aspect of drone and i.e. photogrammetry and mapping which is the concept of acquiring imagery for any useful purpose, it can be for disaster research and management, automatic forest fire monitoring, detection & fighting, mapping the terrain or for any commercial purpose. Due to such a wide variety of applications, it not only becomes the most engaging but also a vital area of research and development. In this case, UAV photogrammetry & mapping proves a much viable and economical option than traditional methods like satellite imagery [6]. The main contribution of our work is to give a brief overview and introduction of various terms, techniques, latest technologies, and their implementation in modern UAVs through a holistic approach.