View Video Presentation: https://doi. org/10.2514/6.2023-0126. vid The use of small unmanned aircraft systems (UAS) has shown great potential for last-mile package delivery …
HY Putranto, AN Irfansyah… - 2022 9th International …, 2022 - ieeexplore.ieee.org
Automatic identification of landing area helps UAV (Unmanned Aerial Vehicle) to land correctly and safely. UAV can use computer vision to detect special signs, such as QR code …
The market for unmanned aerial systems (UASs), also known as unmanned aerial vehicles (UAVs) or drones, is growing rapidly, particularly in the field of Vertical Take Off and Landing …
Y Zhang, J Li, J Chen, Z Liu… - 2020 5th International …, 2020 - ieeexplore.ieee.org
With the popularity and widespread application of UAVs in various fields, the safety of UAVs must be considered. Landing is one of the most critical stages in flight during the operation …
Recent advances in artificial intelligence, control and sensing technologies have facilitated the development of autonomous Unmanned Aerial Vehicles (UAVs, or drones) able to self …
This paper presents an application of a computer vision technique called Semantic Segmentation to a Hazard Detection (HD) algorithm for planetary landing. Three …
Q Wang, W Feng, H Zhao, B Liu, S Lyu - Remote Sensing, 2024 - mdpi.com
Visual navigation, characterized by its autonomous capabilities, cost effectiveness, and robust resistance to interference, serves as the foundation for vision-based autonomous …
I Funahashi, Y Umeki, T Yoshida… - 2018 Asia-Pacific …, 2018 - ieeexplore.ieee.org
We propose an estimation method for the safety-level of local regions in aerial images for the emergency landing of Unmanned Aerial Vehicles (UAVs) based on Convolutional …
Abstract Unmanned Aerial Systems (UAS) are a promising technology for many areas, including transportation, agriculture, inspection, and rescue missions. However, to enable a …