The planes that have slope less than a threshold are considered potential landing spots. These spots are then evaluated regarding ground and vehicles conditions such as the distance to the UAV, presence of obstacles, roughness of the area, slope of the spot.
This paper addresses the scenario of detecting a safe landing spot during operation. The algorithm classifies the incoming Light Detection and Ranging (LiDAR)�...
For the past years, the interest in the use of Unmanned Aerial Vehicles (UAVs) has been increasing due to the multiple research topics provided by the field�...
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Nov 20, 2019 � This paper addresses the topic of emergency landing spot detection for Unmanned Aerial Vehicles (UAVs).
Emergency Landing Spot Detection for Unmanned Aerial Vehicle � An automatic zone detection system for safe landing of UAVs � A Safe Landing Site Selection Method�...
Abstract—This paper describes a framework to generate a computationally low-cost decision function to automate emer- gency landings for drones.
In this paper, we propose using a deep learning approach on UAV imagery to assess the SLZ. The model is built on a semantic segmentation architecture whereby�...
This paper presents a vision-based adaptive tracking and landing method for multirotor Unmanned Aerial Vehicles (UAVs), designed for safe recovery amid�...
The overarching goal is to harness the capabilities of airborne laser scanning point cloud data to usher in a new era characterized by precision and autonomy in�...
Abstract: The use and research of Unmanned Aerial Vehicle (UAV) have been increasing over the years due to the applicability in several operations such as�...
