scholarly journals Computing a landing spot on Mars

Ubiquity ◽  
2019 ◽  
Vol 2019 (May) ◽  
pp. 1-8
Author(s):  
Walter Tichy
Keyword(s):  
Landing Spot

scholarly journals Emergency Landing Spot Detection Algorithm for Unmanned Aerial Vehicles

2021 ◽  
Vol 13 (10) ◽  
pp. 1930
Author(s):  
Gabriel Loureiro ◽  
André Dias ◽  
Alfredo Martins ◽  
José Almeida
Keyword(s):  
Point Cloud ◽  
Principal Component ◽  
Detection Algorithm ◽  
Cloud Data ◽  
Safety Issues ◽  
Spot Detection ◽  
Cloud Clusters ◽  
Aerial Vehicle ◽  
Incoming Light ◽  
Landing Spot

The use and research of Unmanned Aerial Vehicle (UAV) have been increasing over the years due to the applicability in several operations such as search and rescue, delivery, surveillance, and others. Considering the increased presence of these vehicles in the airspace, it becomes necessary to reflect on the safety issues or failures that the UAVs may have and the appropriate action. Moreover, in many missions, the vehicle will not return to its original location. If it fails to arrive at the landing spot, it needs to have the onboard capability to estimate the best area to safely land. This paper addresses the scenario of detecting a safe landing spot during operation. The algorithm classifies the incoming Light Detection and Ranging (LiDAR) data and store the location of suitable areas. The developed method analyses geometric features on point cloud data and detects potential right spots. The algorithm uses the Principal Component Analysis (PCA) to find planes in point cloud clusters. The areas that have a slope less than a threshold are considered potential landing spots. These spots are evaluated regarding ground and vehicle conditions such as the distance to the UAV, the presence of obstacles, the area’s roughness, and the spot’s slope. Finally, the output of the algorithm is the optimum spot to land and can vary during operation. The proposed approach evaluates the algorithm in simulated scenarios and an experimental dataset presenting suitability to be applied in real-time operations.

scholarly journals Landing spot selection for UAV emergency landing

2013 ◽  
Author(s):  
P. T. Eendebak ◽  
A. W. M. van Eekeren ◽  
R. J. M. den Hollander
Keyword(s):  
Selection For ◽  
Landing Spot

UAV On-Board Emergency Safe Landing Spot Detection System Combining Classical and Deep Learning-Based Segmentation Methods

2021 ◽  
pp. 467-478
Author(s):  
Marcin Paszkuta ◽  
Jakub Rosner ◽  
Damian Pęszor ◽  
Marcin Szender ◽  
Marzena Wojciechowska ◽  
...  
Keyword(s):  
Deep Learning ◽  
Detection System ◽  
Spot Detection ◽  
Segmentation Methods ◽  
Landing Spot

Real-Time Landing Spot Detection and Pose Estimation on Thermal Images Using Convolutional Neural Networks

2018 ◽  
Author(s):  
Xudong Chen ◽  
Feng Lin ◽  
Mohamed Redhwan Abdul Hamid ◽  
Swee Huat Teo ◽  
Swee King Phang
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Convolutional Neural Networks ◽  
Pose Estimation ◽  
Thermal Images ◽  
Spot Detection ◽  
Landing Spot

A Landing Spot Approach for Enhancing the Performance of UAV-Aided Wireless Networks

2018 ◽  
Author(s):  
Rajeev Gangula ◽  
David Gesbert ◽  
Daniel Fabian Kuelzer ◽  
Jose Miguel Franceschi
Keyword(s):  
Wireless Networks ◽  
Landing Spot

Mars landing spot

2017 ◽  
Vol 233 (3113) ◽  
pp. 7
Keyword(s):  
Landing Spot

scholarly journals Countdown to Launch in Houston

2014 ◽  
Vol 136 (01) ◽  
pp. 38-39
Author(s):  
Bridget Mintz Testa
Keyword(s):  
Federal Aviation Administration ◽  
Assistant Director ◽  
Lift Off ◽  
Landing Spot

This article presents an overview of the plan of the upcoming spaceport in Houston. The planned spaceport in Houston is designed to support vehicles that lift off and land horizontally, like conventional aircraft. Future expansion could see the construction of a passenger terminal. Instead of rockets, the plan is for the spaceport to be the take-off and landing spot for horizontally launched suborbital vehicles, such as Virgin Galactic’s SpaceShipTwo and XCOR’s Lynx. Horizontally launched vehicles have many advantages, according to Sirisha Bandla, assistant director of the Commercial Spaceflight Federation. The XCOR Lynx is a Concept X vehicle that can take off and land up to four times in one day. The industry wants to reduce that time to 12 to 18 months, including the six months it takes the Federal Aviation Administration to review an application.

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