UAV path planning method for digital terrain model reconstruction – A debris fan example

Yang, Cheng-Hsuan; Tsai, Meng-Han; Kang, Shih-Chung; Hung, Chiu-Yueh

doi:10.1016/j.autcon.2018.05.024

Cited by 41 publications

(15 citation statements)

References 22 publications

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“…Yang et al [22] conducted a study on the optimization of flight routes for the reconstruction of digital terrain models (DTM). The procedure assumes a constant UAV height.…”

Section: Introductionmentioning

confidence: 99%

Optimization of UAV Flight Missions in Steep Terrain

2020

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Unmanned aerial vehicle (UAV) photogrammetry is one of the most effective methods for capturing a terrain in smaller areas. Capturing a steep terrain is more complex than capturing a flat terrain. To fly a mission in steep rugged terrain, a ground control station with a terrain following mode is required, and a quality digital elevation model (DEM) of the terrain is needed. The methods and results of capturing such terrain were analyzed as part of the Belca rockfall surveys. In addition to the national digital terrain model (NDTM), two customized DEMs were developed to optimize the photogrammetric survey of the steep terrain with oblique images. Flight heights and slant distances between camera projection centers and terrain are analyzed in the article. Some issues were identified and discussed, namely the vertical images in steep slopes and the steady decrease of UAV heights above ground level (AGL) with the increase of height above take-off (ATO) at 6%-8% rate. To compensate for the latter issue, the custom DEMs and NDTM were tilted. Based on our experience, the proposed optimal method for capturing the steep terrain is a combination of vertical and oblique UAV images.

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“…Yang et al [22] conducted a study on the optimization of flight routes for the reconstruction of digital terrain models (DTM). The procedure assumes a constant UAV height.…”

Section: Introductionmentioning

confidence: 99%

Optimization of UAV Flight Missions in Steep Terrain

2020

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“…In addition, [ 33 ] theoretically proved that the turning process is less efficient than the rectilinear flight process from the perspectives of energy, distance, and time. Moreover, a greater route distance costs more energy [ 42 ]. On the assumption that a drone has a constant pesticide capacity and that these pesticide can be used up in each operation, reducing the waste of pesticide is equivalent to increasing the amount of pesticide applied in the actual operation region, by increasing the coverage area of each operation.…”

Section: Methodsmentioning

confidence: 99%

Route-Planning Method for Plant Protection Rotor Drones in Convex Polygon Regions

Wang

2021

Sensors

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Aiming at the problem of low operating efficiency due to the poor endurance of plant protection rotor drones and the small volume of pesticide carried, this paper proposes a route-planning algorithm for convex polygon regions based on the initial heading angle. First, a series of coordinate conversion methods ranging from the Earth coordinate system to the local plane coordinate system are studied. Second, in the local plane coordinate system, a route generation method based on subregion is proposed; therefore, multiple routes can be generated with different initial heading angles. Lastly, the optimal route and the best initial heading angle can be obtained after the comparison according to the three evaluation criteria: number of turns, route distance, and pesticide waste rate. The simulation results show that, compared with the common grid method, the route generation method based on subregion reduces the route distance and pesticide waste rate by 2.27% and 13.75%, respectively. Furthermore, it also shows that, compared with the route generated by the initial heading angle of 0°, the optimal route reduces the number of turns, route distance, and pesticide waste rate by 60%, 17.65%, and 38.18%, respectively. The route was optimized in three aspects and reached the best overall result using this method, which in turn proved its feasibility.

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“…Nowadays, the number of methods for path planning in the dynamic enviroment considerably increases ( [2,40,41,55,59]). But, they generally refer to the problem of path planning in the dynamic environment in the context of autonomous mobile robots navigation or unmanned aerial vehicles.…”

Section: Transit-based Routingmentioning

confidence: 99%

Intelligent route planning system based on interval computing

Chmiel

Skalna

Jędrusik

2018

Multimed Tools Appl

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We investigate the problem of vehicle route planning in a dynamic environment. In order to better reflect real-life situations, we assume that travel times are not known exactly, but bounded from below and from above, i.e., they are given as interval quantities. Accordingly, we develop algorithms for effective route replanning in a highly dynamic road network environment that combines traffic image processing with interval data for dynamic path optimisation. The developed algorithms are integrated into a larger system for traffic management. The efficiency of the proposed algorithms and their ability to support the dynamics of road traffic is verified using real data. The experimental research was also conducted using the microscopic, time-discrete, space-continuous traffic simulator.

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UAV path planning method for digital terrain model reconstruction – A debris fan example

Cited by 41 publications

References 22 publications

Optimization of UAV Flight Missions in Steep Terrain

Optimization of UAV Flight Missions in Steep Terrain

Route-Planning Method for Plant Protection Rotor Drones in Convex Polygon Regions

Intelligent route planning system based on interval computing

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