Emergency Landing Spot Detection for Unmanned Aerial Vehicle

Abstract

Primeiro, gostaria de agradecer ao meu orientador, Eng. André Dias, pelo desafio proposto, como também pelo auxílio durante o desenvolvimento desta dissertação.Gostaria de agradecer também os meus colegas de mestrado que fizeram parte deste percurso.Aos meus amigos de longa data pela amizade durante esses anos. Mesmo que indiretamente, tiveram grande contribuição para a conclusão deste mestrado.Ao meu irmão, Bruno Loureiro, pelo carinho e preocupação demonstrado ao longo desses anos. O teu apoio foi fundamental para o fim desta etapa.Por fim, um agradecimento especial aos meus pais, Fernando e Nazaré. Obrigado pelo vosso carinho, vossa paciência e cuidado durante toda a minha vida. Serei eternamente grato por todos esforços e desafios superados para poderem me proporcionar todas estas oportunidades. Espero poder retribuir tudo o que já fizeram por mim.Muito obrigado.

An Image Processing Approach for Real-Time Safety Assessment of Autonomous Drone Delivery

“…The problem of autonomous drone emergency landing has also received attention from researchers recently, with all approaches relying on visual input, as shown in Figure 1. In 2019, Loureiro et al [27] introduced a system that efficiently detects safe landing zones for drones. The main feature of this system is a geometric approach to determine the suitability of candidate landing areas using light detection and ranging (LIDAR) data.…”

Survey of approaches for emergency landing spot detection with unmanned aerial vehicles

“…After realizing a thorough study on the existing techniques, we proposed an emergency landing spot detection system to determine potential landing zones during flight time. 41 The algorithm (see Figure 2) uses LiDAR data and a geometrical approach to extract statistics and information of an unknown environment. Firstly, the system accumulates the point cloud until one of two conditions is met: the traveled distance is larger than a minimum value or the accumulated point cloud reached a maximum limit.…”

Emergency Landing Spot Detection Algorithm for Unmanned Aerial Vehicles

“…The potential spots are subsequently evaluated regarding different parameters, and finally, the resulting score is assigned to the spot. This paper is an extended version of work published in [8,9]. Compared to the previous papers [8,9], this work presents a more extensive review of the related works.…”

“…This paper is an extended version of work published in [8,9]. Compared to the previous papers [8,9], this work presents a more extensive review of the related works. Furthermore, the proposed approach was evaluated with field tests during a 3D reconstruction survey mission that took place in the Monastery of Tibães, Braga, Portugal.…”