Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction

Torres, Marina; Pelta, David A.; Verdegay, José L.; Torres, Juan Carlos

doi:10.1016/j.eswa.2016.02.007

Cited by 199 publications

(129 citation statements)

References 14 publications

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“…For example, this restriction should be considered while spraying farmland in order to avoid blank spots. Although rotorcraft drones, such as quadcopters, may easily reverse their flight direction by making sharp turns, each reversal requires additional time and energy, as the drones must come to a halt before moving in a different direction . Therefore, researchers look for smooth, constant‐speed trajectories respecting the minimum turning radius also for rotorcraft drones .…”

Section: Characteristics Of Drones Relevant To Operational Planningmentioning

confidence: 99%

“…Preferred paths of drones have to avoid unproductive movements, such as repeated surveillance of the same points in

P

or “idle” flights to the next zone of operation. Common objective functions aim to minimize some distance‐related cost function , completion time (in case of several drones or setup times between drone flights) , or energy consumption (because the drone's energy consumption depends on the altitude of flight and the direction of acceleration) . Furthermore, since each turn of the drone requires additional time and energy (see Section 3), a cost‐minimizing path will generally contain fewer turns.…”

Section: Planning Drone Operationsmentioning

confidence: 99%

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Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Characteristics Of Drones Relevant To Operational Planningmentioning

confidence: 99%

“…Preferred paths of drones have to avoid unproductive movements, such as repeated surveillance of the same points in

P

Section: Planning Drone Operationsmentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…• Crop area geometry: If the geometry of the crop is very irregular, the distribution of area per quadrotor could get complex and the swarm inspection algorithm must take this into account (Torres et al, 2016).…”

Section: Swarm Robotics In Quadrotors For Crop Inspectionsmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

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This paper summarizes the concept of swarm robotics and its applicability to crop inspections. To increase the agricultural yield it is essential to monitor the crop health.Hence, precision agriculture is becoming a common practice for farmers providing a system that can inspect the state of the plants ( Khosla and others, 2010). One of the rising technologies used for agricultural inspections is the use of unmaned air vehicles (UAVs) which are used to take aerial pictures of the farms so that the images could be processed to extract data about the state of the crops (Das et al., 2015). For this process both fixed wings and quadrotors UAVs are used with a preference over the quadrotor since it's easier to operate and has a milder learning curve compared to fixed wings (Kolodny, 2017). UAVs require battery replacement especially when the environmental conditions result in longer inspection times ("Agriculture -Maximize Yields with Aerial Imaging," n.d., "Matrice 100 -DJI Wiki," n.d.). As a result, inspection systems for crops using commercial quadrotors are limited by the quadrotor´s maximum flight speed, maximum flight height, quadrotor´s battery time, crops area, wind conditions, etc.("Mission Estimates," n.d.).

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“…Due to the technological development of the miniaturisation process and the decreasing production costs of the components used in UAV construction, the vehicles are becoming more and more popular as surveying platforms in geophysical research. Their versatile use in geophysics, geodesy, and spatial planning has been described by Lin (2008), Remondino et al (2012), Siebert and Teizer (2014), Li et al (2016), Kršák et al (2016) and Torres et al (2016). The research material obtained with UAVs, in the form of images or point clouds (Axelsson 2000), can provide the basis for many analyses, such as analyses of visibility.…”

Section: Introductionmentioning

confidence: 99%

Geovisualisation of Relief in a Virtual Reality System on the Basis of Low-Level Aerial Imagery

Halik

Smaczyński

2017

Pure Appl. Geophys.

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Abstract-The aim of the following paper was to present the geomatic process of transforming low-level aerial imagery obtained with unmanned aerial vehicles (UAV) into a digital terrain model (DTM) and implementing the model into a virtual reality system (VR). The object of the study was a natural aggretage heap of an irregular shape and denivelations up to 11 m. Based on the obtained photos, three point clouds (varying in the level of detail) were generated for the 20,000-m 2 -area. For further analyses, the researchers selected the point cloud with the best ratio of accuracy to output file size. This choice was made based on seven control points of the heap surveyed in the field and the corresponding points in the generated 3D model. The obtained several-centimetre differences between the control points in the field and the ones from the model might testify to the usefulness of the described algorithm for creating large-scale DTMs for engineering purposes. Finally, the chosen model was implemented into the VR system, which enables the most lifelike exploration of 3D terrain plasticity in real time, thanks to the first person view mode (FPV). In this mode, the user observes an object with the aid of a Head-mounted display (HMD), experiencing the geovisualisation from the inside, and virtually analysing the terrain as a direct animator of the observations.

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Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction

Cited by 199 publications

References 14 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Geovisualisation of Relief in a Virtual Reality System on the Basis of Low-Level Aerial Imagery

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