Semantic segmentation-based vision-enabled safe landing position estimation framework

S Cho, Y Jung - AIAA SCITECH 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1475. vid Nowadays, the urban air
mobility (UAM) industry has been in the limelight. To guarantee the high reliability of …

Vision-based Perception with Safety Awareness for UAS Autonomous Landing

Z Zhao, J Lee, Z Li, CH Park, P Wei - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
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 …

Identification of safe landing areas with semantic segmentation and contour detection for delivery uav

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 …

[PDF][PDF] Image segmentation based emergency landing for VTOL UAVs

PA Hausmann - 2024 - opus4.kobv.de
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 …

A GCN-Based Decision-Making Network for Autonomous UAV 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 …

Vision-based UAV safe landing exploiting lightweight deep neural networks

C Symeonidis, E Kakaletsis, I Mademlis… - Proceedings of the …, 2021 - dl.acm.org
Recent advances in artificial intelligence, control and sensing technologies have facilitated
the development of autonomous Unmanned Aerial Vehicles (UAVs, or drones) able to self …

Hazard detection algorithm for planetary landing using semantic segmentation

K Tomita, K Skinner, K Iiyama, B Jagatia, T Nakagawa… - ASCEND 2020, 2020 - arc.aiaa.org
This paper presents an application of a computer vision technique called Semantic
Segmentation to a Hazard Detection (HD) algorithm for planetary landing. Three …

VALNet: Vision-Based Autonomous Landing with Airport Runway Instance Segmentation

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 …

Safety-level estimation of aerial images based on convolutional neural network for emergency landing of unmanned aerial vehicle

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 …

Semantic segmentation based mapping systems for the safe and precise landing of flying vehicles

HS Dhami, D Ignatyev, A Tsourdos - IFAC-PapersOnLine, 2022 - Elsevier
Abstract Unmanned Aerial Systems (UAS) are a promising technology for many areas,
including transportation, agriculture, inspection, and rescue missions. However, to enable a …