On precise three-dimensional environment modeling via UAV-based photogrammetric systems

Abstract : Images acquired from unmanned aerial vehicles (UAVs) can provide data with unprecedented spatial and temporal resolution for three-dimensional (3D) modeling. Solutions developed for this purpose are mainly operating based on photogrammetry concepts, namely UAV-Photogrammetry Systems (UAV-PS). Such systems are used in applications where both geospatial and visual information of the environment is required. These applications include, but are not limited to, natural resource management such as precision agriculture, military and police-related services such as traffic-law enforcement, precision engineering such as infrastructure inspection, and health services such as epidemic emergency management. UAV-photogrammetry systems can be differentiated based on their spatial characteristics in terms of accuracy and resolution. That is some applications, such as precision engineering, require high-resolution and high-accuracy information of the environment (e.g. 3D modeling with less than one centimeter accuracy and resolution). In other applications, lower levels of accuracy might be sufficient, (e.g. wildlife management needing few decimeters of resolution). However, even in those applications, the specific characteristics of UAV-PSs should be well considered in the steps of both system development and application in order to yield satisfying results. In this regard, this thesis presents a comprehensive review of the applications of unmanned aerial imagery, where the objective was to determine the challenges that remote-sensing applications of UAV systems currently face. This review also allowed recognizing the specific characteristics and requirements of UAV-PSs, which are mostly ignored or not thoroughly assessed in recent studies. Accordingly, the focus of the first part of this thesis is on exploring the methodological and experimental aspects of implementing a UAV-PS. The developed system was extensively evaluated for precise modeling of an open-pit gravel mine and performing volumetric-change measurements. This application was selected for two main reasons. Firstly, this case study provided a challenging environment for 3D modeling, in terms of scale changes, terrain relief variations as well as structure and texture diversities. Secondly, open-pit-mine monitoring demands high levels of accuracy, which justifies our efforts to improve the developed UAV-PS to its maximum capacities. The hardware of the system consisted of an electric-powered helicopter, a high-resolution digital camera, and an inertial navigation system. The software of the system included the in-house programs specifically designed for camera calibration, platform calibration, system integration, onboard data acquisition, flight planning and ground control point (GCP) detection. The detailed features of the system are discussed in the thesis, and solutions are proposed in order to enhance the system and its photogrammetric outputs. The accuracy of the results was evaluated under various mapping conditions, including direct georeferencing and indirect georeferencing with different numbers, distributions and types of ground control points. Additionally, the effects of imaging configuration and network stability on modeling accuracy were assessed. The second part of this thesis concentrates on improving the techniques of sparse and dense reconstruction. The proposed solutions are alternatives to traditional aerial photogrammetry techniques, properly adapted to specific characteristics of unmanned, low-altitude imagery. Firstly, a method was developed for robust sparse matching and epipolar-geometry estimation. The main achievement of this method was its capacity to handle a very high percentage of outliers (errors among corresponding points) with remarkable computational efficiency (compared to the state-of-the-art techniques). Secondly, a block bundle adjustment (BBA) strategy was proposed based on the integration of intrinsic camera calibration parameters as pseudo-observations to Gauss-Helmert model. The principal advantage of this strategy was controlling the adverse effect of unstable imaging networks and noisy image observations on the accuracy of self-calibration. The sparse implementation of this strategy was also performed, which allowed its application to data sets containing a lot of tie points. Finally, the concepts of intrinsic curves were revisited for dense stereo matching. The proposed technique could achieve a high level of accuracy and efficiency by searching only through a small fraction of the whole disparity search space as well as internally handling occlusions and matching ambiguities. These photogrammetric solutions were extensively tested using synthetic data, close-range images and the images acquired from the gravel-pit mine. Achieving absolute 3D mapping accuracy of 11±7 mm illustrated the success of this system for high-precision modeling of the environment.

Intégration de pales en céramique dans un rotor de microturbine axiale en configuration renversée

Le marché de l'énergie distribuée est actuellement en pleine expansion et favorise l'intégration d'une multitude de sources d'énergie, et les machines à combustion interne ne sont pas exclues. Les moteurs à piston sont actuellement les principaux acteurs du marché, en raison de leur rendement élevé et de leur faible coût en capital. Cependant, la réglementation de plus en plus sévère sur les émissions ainsi que les coûts liés à la maintenance et les temps d'arrêt sont prohibitifs pour ce type de machines, en particulier dans le segment de basse puissance et de production d’énergie et de chaleur combinées (CHP). C'est là que les microturbines opérant sous le cycle récupéré – de petites turbines à gaz qui produisent moins de 1 MW de puissance – ont un avantage concurrentiel, grâce à moins de pièces en mouvement, une combustion plus propre et une température élevée d'échappement. Les petites turbomachines récupérées doivent atteindre des températures d'entrée de turbine (TIT) très élevées, requises pour atteindre 40% de rendement thermique. Les céramiques non refroidies offrent une solution très attrayante, avec plusieurs essais mais des résultats peu concluants dans la littérature. Ce travail présente une nouvelle architecture qui prend en charge des pales en céramique monolithique dans un environnement d’opération à chaud. La turbine renversée en céramique (ICT) est constituée d'un moyeu métallique flexible qui fournit une base souple pour les pales individuelles en céramique qui sont supportées par l'extérieur par un anneau en composite carbone-polymère. Les forces centrifuges chargent les pales en compression au lieu d’en tension, exploitant ainsi la résistance en compression typiquement élevée des céramiques techniques. Le document présente la validation expérimentale entreprise pour vérifier l'intégrité structurelle d’un prototype de configuration ICT à petite échelle, dans des conditions de fonctionnement à froid et à chaud, ainsi que les étapes qui y ont mené. Les résultats expérimentaux montrent que l'ICT supporte des pales en alumine dans les tests à froid et le nitrure de silicium pour des températures d'entrée du rotor jusqu'à 1000 K, avec des vitesses de pointe de pale atteignant 271 m/s. L’incursion d’objet domestique, l'événement le plus désastreux à se produire dans les turbines en céramique dans la littérature, n'a pas causé de dommages aux pales dans cette configuration. Ces résultats indiquent que l'architecture ICT est robuste et viable, et que le développement peut être poursuivi pour augmenter la TIT et la vitesse de pointe de la turbine, afin d’éventuellement parvenir à une microturbine récupérée en céramique de 1600 K de TIT.