Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data

Diara, Filippo; Roggero, Marco

doi:10.3390/geomatics2030015

Cited by 13 publications

(3 citation statements)

References 18 publications

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“…There was no study on AA450 Lidar before but there was a similarity in accuracy assessment compared to the DJI L1 sensor in the previous research [30,31]. It is due to the same scanner for both AA450 and DJI L1 sensors.…”

Section: Discussionmentioning

confidence: 88%

A Comparative Study of UAV Lidar, UAV, and GNSS RTK on Infrastructure Survey

Vu,

Nguyen,

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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The advancement of the latest techniques allows surveyors to have various approaches to solving survey tasks. The paper is an experimental study on collecting terrain data using different techniques including Lidar on a UAV, normal UAV, and GNSS-RTK. The study uses the point clouds extracted from Agisoft for data from Phantom 4 RTK, and Copre for data from Lidar. The lidar method uses AA450, the first lidar product line of the CHC brand in Vietnam with a Livox Avia scanner. UAV phantom4 RTK uses a 1” CMOS camera, with 20M effective pixels. Both Lidar and UAV methods use the PPK processing technique, and flight altitude is 80m and 100m respectively while GNSS-RTK uses the single-base method at around 7km distance between base and rover. The study results show the deviations in coordinates are very small, and the differences in elevation of Lidar and Phantom4 RTK compare to GNSS-RTK range from 3-5cm at open positions. The differences in elevation between Lidar - GNSS-RTK and Phantom 4RTK-GNSS RTK are 5-8cm and 10-15 cm respectively at the low vegetation and sparse density positions. The differences in elevation between Lidar and GNSS-RTK method range from 8-15cm while Phantom 4RTK cannot reach the ground point at the high and dense vegetation. However, the deviations in elevation between Lidar and GNSS-RTK are 15-25cm at the low, dense positions.

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Section: Discussionmentioning

confidence: 88%

A Comparative Study of UAV Lidar, UAV, and GNSS RTK on Infrastructure Survey

Vu,

Nguyen,

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…The setup of the DJI Matrice M210 V2 used is detailed in Table 3. The DJI Zenmuse XT2 camera 26 was loaded on the UAV to capture the images. The DJI Zenmuse XT2 camera features a FLIR longwave infrared thermal camera with a thermal infrared camera resolution of 640 × 512 pixels and a 25 mm lens, as well as a visual camera that captures 4 K videos and 12MP photos.…”

Section: Methodsmentioning

confidence: 99%

HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

et al. 2023

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We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared thermal images extracted from 43,470 frames in hundreds of videos captured by UAVs in various scenarios, such as schools, parking lots, roads, and playgrounds. Moreover, the HIT-UAV provides essential flight data for each image, including flight altitude, camera perspective, date, and daylight intensity. For each image, we have manually annotated object instances with bounding boxes of two types (oriented and standard) to tackle the challenge of significant overlap of object instances in aerial images. To the best of our knowledge, the HIT-UAV is the first publicly available high-altitude UAV-based infrared thermal dataset for detecting persons and vehicles. We have trained and evaluated well-established object detection algorithms on the HIT-UAV. Our results demonstrate that the detection algorithms perform exceptionally well on the HIT-UAV compared to visual light datasets, since infrared thermal images do not contain significant irrelevant information about objects. We believe that the HIT-UAV will contribute to various UAV-based applications and researches. The dataset is freely available at https://pegasus.ac.cn.

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“…Figure 1. Satellite remote sensing image of LK This article selects the Dajiang M300RTK multi-rotor unmanned aerial vehicle [4] , equipped with Zenuse L1 lidar for surveying and mapping tasks [5] . The specific parameters of the drone and radar lens are shown in Table 1 and Table 2 The unmanned aerial vehicle (UAV) aerial survey equipment adopts the DJM300RTK.…”

Section: Research Backgroundmentioning

confidence: 99%

Application of Airborne Radar Variable Altitude Aerial Survey in High Precision Mapping of Mountainous Areas

Wu,

Liu,

Dai

et al. 2023

J. Phys.: Conf. Ser.

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This paper studies how to use UAV aerial survey equipment to carry laser radar and high-definition real-scene lenses to achieve high-precision mountain mapping. The study aims to solve the problems of complex terrain, difficulties in surveying, and controlling the accuracy of surveying and mapping in mountainous, canyon, and hilly areas. Firstly, the LK tea production area development project is selected as an example for example analysis. The aerial survey equipment and data acquisition equipment are selected according to the characteristics of the project. Secondly, aiming at the problem that the mountainous terrain undulates greatly and that the accuracy of ground object mapping is difficult to control, this paper puts forward the “variable height aerial survey” method. It collects aerial survey data according to the terrain characteristics. Finally, this paper proposes a “point cloud overlay” modeling method. It combines laser point cloud data with real 3D data to form a high-precision real 3D model point cloud reorganization and establish a high-precision real 3D model.

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Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data

Cited by 13 publications

References 18 publications

A Comparative Study of UAV Lidar, UAV, and GNSS RTK on Infrastructure Survey

A Comparative Study of UAV Lidar, UAV, and GNSS RTK on Infrastructure Survey

HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

Application of Airborne Radar Variable Altitude Aerial Survey in High Precision Mapping of Mountainous Areas

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