Automatic Exterior Orientation Procedure for Low-Cost Uav Photogrammetry Using Video Image Tracking Technique and GPS Information

Anai, Tetsuji; Sasaki, Takeshi; Osaragi, K.; Yamada, Mitsuharu; Otomo, F.; O-Tani, Hideyuki

doi:10.5194/isprsarchives-xxxix-b7-469-2012

Cited by 18 publications

(13 citation statements)

References 3 publications

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“…In a situation when the unmanned platform used in the flight is not equipped with an inertial measurement unit (IMU), or when the received satellite signal is interrupted, establishing ground control is a necessity, even at the office stage of planning the flight (Anai et al 2012;Barazzetti et al 2010;Eugster and Nebiker 2008;Wang et al 2008). The process is especially necessary when the aim is to generate a cartometric terrain model.…”

Section: Establishing Ground Controlmentioning

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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Section: Establishing Ground Controlmentioning

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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“…Figure 11 shows the results obtained on a stair-case. In this case, the data set is composed of 25 pictures acquired from 15 meter elevation (Anai, et al 2012). We can see clearly the features in the results obtained by the proposed method (Figure 11(b) and (c)), whereas these are not visible in the results obtained by the method without edge (Figure 11(a)).…”

Section: Applicationmentioning

confidence: 68%

Robust surface matching by integrating edge segments

Kochi¹,

Sasaki²,

Kitamura³

et al. 2014

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper describes a novel area-based stereo-matching method which aims at reconstructing the shape of objects robustly, correctly, with high precision and with high density. Our goal is to reconstruct correctly the shape of the object by comprising also edges as part of the resulting surface. For this purpose, we need to overcome the problem of how to reconstruct and describe shapes with steep and sharp edges. Area-based matching methods set an image area as a template and search the corresponding match. As a direct consequence of this approach, it becomes not possible to correctly reconstruct the shape around steep edges. Moreover, in the same regions, discontinuities and discrepancies of the shape between the left and right stereo-images increase the difficulties for the matching process. In order to overcome these problems, we propose in this paper the approach of reconstructing the shape of objects by embedding reliable edge line segments into the area-based matching process with parallax estimation. We propose a robust stereo-matching (the extended Edge TIN-LSM) method which integrates edges and which is able to cope with differences in right and left image shape, brightness changes and occlusions. The method consists of the following three steps: (1) parallax estimation, (2) edge-matching, (3) edge-surface matching. In this paper, we describe and explain in detail the process of parallax estimation and the area-based surface-matching with integrated edges; the performance of the proposed method is also validated. The main advantage of this new method is its ability to reconstruct with high precision a 3D model of an object from only two images (for ex. measurement of a tire with 0.14mm accuracy), thus without the need of a large number of images. For this reason, this approach is intrinsically simple and high-speed. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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“…In recent years, with advances in unmanned aerial vehicle (UAV) technology, various types of UAVs have been developed [7]. UAVs are advantageous in terms of low cost and high convenience compared with manned aircraft and can help in a broad range of fields, such as aerial photography [8,9], agricultural management [10,11], network environment construction [12], luggage delivery [13], etc. A multirotor aircraft is frequently used in UAVs because of its convenience and high mobility.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional noise and spatial mapping system with aerial blimp robot

Saitou

Ikeda

Oikawa

2019

Acoust. Sci. & Tech.

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To measure environmental noises, many noise measurement and mapping systems have been studied. However, these systems are costly because many measurement points are required to construct a detailed and three-dimensional noise map. In recent years, with advances in unmanned aerial vehicle (UAV) technology, a multirotor aircraft has been frequently used as general use. Although it could be applied to acoustic measurements, it causes loud noise as it must always rotate its propellers during flying. Herein, a noise and spatial mapping system with a blimp robot is proposed. The proposed system achieved a silent, slow, and omnidirectional movement with a balloon filled with helium gas. Furthermore, the simultaneous localization and mapping (SLAM) technique is applied for the system's positional tracking and surrounding spatial mapping with a stereo camera. To evaluate our system, three experiments were conducted. First, the propeller rotational noises of the proposed system were compared to a general recreational-use multirotor. Next, the acoustical effects of a blimp, such as reflection and diffraction, were measured to decide the microphone position. Finally, a preliminary experiment was conducted to construct a simple three-dimensional noise map in a large experimental room. The results show that the proposed system could construct a three-dimensional indoor noise map by combining the sound information and the positional information.

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Automatic Exterior Orientation Procedure for Low-Cost Uav Photogrammetry Using Video Image Tracking Technique and GPS Information

Cited by 18 publications

References 3 publications

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

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

Robust surface matching by integrating edge segments

Three-dimensional noise and spatial mapping system with aerial blimp robot

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