Object recognition, as one of the most fundamental and challenging problems in high-resolution remote sensing image interpretation, has received increasing attention in recent years.However, most conventional object recognition pipelines aim to recognize instances with bounding boxes in a supervised learning strategy, which require intensive Arm Re

This article presents a complete solution for autonomous mapping and inspection tasks, namely a lightweight multi-camera drone design coupled with computationally efficient planning algorithms and environment representations for enhanced autonomous navigation in exploration and mapping tasks.The proposed system utilizes state-of-the-art Next-Best-V

This study investigated the numbers of Aedes larvae found in relation to the religion of the people, the location of their houses, and the number of water containers in and around the house.We collected our questionnaire survey during April-May 2004 covering two different topographical areas (i.e.seaside and mountainous areas) and two religious fac