Vision-based obstacle avoidance for flapping-wing aerial vehicles
نویسندگان
چکیده
منابع مشابه
Obstacle Avoidance Based-Visual Navigation for Micro Aerial Vehicles
Wilbert G. Aguilar 1,2,3,*, Verónica P. Casaliglla 4,* and José L. Pólit 4,* 1 Centro de Investigación Científica y Tecnológica del Ejército CICTE, Universidad de las Fuerzas Armadas ESPE, Sangolqui 171103, Ecuador 2 Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolqui 171103, Ecuador 3 Research Group on Knowledge Engineering GREC, Universitat Politècnica de C...
متن کاملOmnidirectional Obstacle Perception and Collision Avoidance for Micro Aerial Vehicles
In this paper, we propose a complete micro aerial vehicle platform—including hardware setup and processing pipeline—that is able to perceive obstacles in (almost) all directions in its surrounding. In order to compensate for deficiencies of individual obstacle sensors, we make use of different sensor modalities. Detected obstacles are fused and accumulated in a three-dimensional egocentric obst...
متن کامل3D Obstacle Avoidance in Adversarial Environments for Unmanned Aerial Vehicles
As unmanned aerial vehicles (UAVs) are considered for a wider variety of military and commercial applications, the ability to navigate autonomously in unknown and hazardous environments is increasingly vital to the effectiveness of UAVs. Reliable and efficient obstacle detection is a fundamental prerequisite to performing autonomous navigation in an unknown environment. Traditional two-dimensio...
متن کاملObstacle and Terrain Avoidance for Miniature Unmanned Aerial Vehicles
Unmanned aerial vehicles (UAVs) are playing increasingly prominent roles in defense programs and strategy around the world. While drones have been employed in military applications for many years, the dramatic growth in technological capabilities has increased their utility and versatility. Specifically, advances in microcontrollers, sensors, and batteries have enabled both the significant impr...
متن کاملVision Based Obstacle Avoidance Techniques
Vision is one of the most powerful and popular sensing method used for autonomous navigation. Compared with other on-board sensing techniques, vision based approaches to navigation continue to demand a lot of attention from the mobile robot research community. This is largely due to its ability to provide detailed information about the environment, which may not be available using combinations ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2020
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-019-2750-y