Drone Mission Definition and Implementation for Automated Infrastructure Inspection Using Airborne Sensors

Besada, Juan A.; Bergesio, Luca; Campaña, Iván; Vaquero-Melchor, Diego; López-Araquistain, Jaime; Bernardos, Ana M.; Casar, José R.

doi:10.3390/s18041170

Cited by 105 publications

(54 citation statements)

References 59 publications

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“…These tools allow the user to manually fly the UAV or to establish a set of points that conform a path to be followed by the UAV. They rely in standard map technologies such as Google Maps and offer a 2D point of view [31]. The survey plan was prepared and executed by using Drone Deploy software.…”

Section: Uav Flight Planning and Images Acquisitionmentioning

confidence: 99%

Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling

Chaudhry

Ahmad

Gulzar

2020

IJGI

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Unmanned Aerial Vehicles (UAVs) as a surveying tool are mainly characterized by a large amount of data and high computational cost. This research investigates the use of a small amount of data with less computational cost for more accurate three-dimensional (3D) photogrammetric products by manipulating UAV surveying parameters such as flight lines pattern and image overlap percentages. Sixteen photogrammetric projects with perpendicular flight plans and a variation of 55% to 85% side and forward overlap were processed in Pix4DMapper. For UAV data georeferencing and accuracy assessment, 10 Ground Control Points (GCPs) and 18 Check Points (CPs) were used. Comparative analysis was done by incorporating the median of tie points, the number of 3D point cloud, horizontal/vertical Root Mean Square Error (RMSE), and large-scale topographic variations. The results show that an increased forward overlap also increases the median of the tie points, and an increase in both side and forward overlap results in the increased number of point clouds. The horizontal accuracy of 16 projects varies from ±0.13m to ±0.17m whereas the vertical accuracy varies from ± 0.09 m to ± 0.32 m. However, the lowest vertical RMSE value was not for highest overlap percentage. The tradeoff among UAV surveying parameters can result in high accuracy products with less computational cost.

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Section: Uav Flight Planning and Images Acquisitionmentioning

confidence: 99%

Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling

Chaudhry

Ahmad

Gulzar

2020

IJGI

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“…With the development of remote sensing and artificial intelligence technology, drones present huge application opportunities, especially in reconnaissance missions [18]. Due to their high efficiency and low cost, drones have an important role in the inspection of bridge, cell towers and so on [19,20]. In electricity field, drones have been applied to the inspection for both transmission structure and powerline [21,22].…”

Section: Literature Reviewmentioning

confidence: 99%

Two-Layer Routing for High-Voltage Powerline Inspection by Cooperated Ground Vehicle and Drone

et al. 2019

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A novel high-voltage powerline inspection system was investigated, which consists of the cooperated ground vehicle and drone. The ground vehicle acts as a mobile platform that can launch and recycle the drone, while the drone can fly over the powerline for inspection within limited endurance. This inspection system enables the drone to inspect powerline networks in a very large area. Both vehicle’ route in the road network and drone’s routes along the powerline network have to be optimized for improving the inspection efficiency, which generates a new Two-Layer Point-Arc Routing Problem (2L-PA-RP). Two constructive heuristics were designed based on “Cluster First, Route Second” and “Route First, Split Second”. Then, local search strategies were developed to further improve the quality of the solution. To test the performance of the proposed algorithms, different-scale practical cases were designed based on the road network and powerline network of Ji’an, China. Sensitivity analysis on the parameters related to the drone’s inspection speed and battery capacity was conducted. Computational results indicate that technical improvement on the inspection sensor is more important for the cooperated ground vehicle and drone system.

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“…With the development of remote sensing and artificial intelligence technology, the drone presents huge application opportunities after 2010. Due to the high efficiency and low cost, drone plays an important role on the inspection of bridge, cell towers and so on [17,18]. In electricity field, the drone has been applied on the inspection for both transmission structure [19] and powerline [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Two-Layer Routing for High-Voltage Powerline Inspection by Cooperated Ground Vehicle and Drone

Liu¹,

Shi²,

Liu³

et al. 2019

Preprint

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A novel high-voltage powerline inspection system is investigated, which consists of the cooperated ground vehicle and drone. The ground vehicle acts as a mobile platform that can launch and recycle the drone, while the drone can fly over the powerline for inspection within limited endurance. This inspection system enables the drone to inspect powerline networks in a very large area. Both vehicle’ route in the road network and drone’s routes along the powerline network have to be optimized for improving the inspection efficiency, which generates a new two-layer point-arc routing problem. Two constructive heuristics are designed based on “Cluster First, Rank Second” and “Rank First, Split Second”. Then local search strategies are developed to further improve the quality of the solution. To test the performance of the proposed algorithms, practical cases with different-scale are designed based on the road network and powerline network of Ji’an, China. Sensitivity analysis on the parameters related with the drone’s inspection speed and battery capacity is conducted. Computational results indicate that technical improvement on the inspection sensor is more important for the cooperated ground vehicle and drone system.

show abstract

Drone Mission Definition and Implementation for Automated Infrastructure Inspection Using Airborne Sensors

Cited by 105 publications

References 59 publications

Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling

Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling

Two-Layer Routing for High-Voltage Powerline Inspection by Cooperated Ground Vehicle and Drone

Two-Layer Routing for High-Voltage Powerline Inspection by Cooperated Ground Vehicle and Drone

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