Relevant bibliographies by topics / Mono camera

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mono camera'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Mono camera"

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Xiao1, Yao, Xiaogang Ruan1, and Xiaoqing Zhu. "PC-VINS-Mono: A Robust Mono Visual-Inertial Odometry with Photometric Calibration." Journal of Autonomous Intelligence 1, no. 2 (January 21, 2019): 29. http://dx.doi.org/10.32629/jai.v1i2.33.

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Feature detection and Tracking, which heavily rely on the gray value information of images, is a very importance procedure for Visual-Inertial Odometry (VIO) and the tracking results significantly affect the accuracy of the estimation results and the robustness of VIO. In high contrast lighting condition environment, images captured by auto exposure camera shows frequently change with its exposure time. As a result, the gray value of the same feature in the image show vary from frame to frame, which poses large challenge to the feature detection and tracking procedure. Moreover, this problem further been aggravated by the nonlinear camera response function and lens attenuation. However, very few VIO methods take full advantage of photometric camera calibration and discuss the influence of photometric calibration to the VIO. In this paper, we proposed a robust monocular visual-inertial odometry, PC-VINS-Mono, which can be understood as an extension of the opens-source VIO pipeline, VINS-Mono, with the capability of photometric calibration. We evaluate the proposed algorithm with the public dataset. Experimental results show that, with photometric calibration, our algorithm achieves better performance comparing to the VINS-Mono.
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Lee, Tae-Jae, Hoon Lee, and Dong-Il Dan Cho. "Obstacle Detection Algorithm Using Forward-Viewing Mono Camera." Journal of Institute of Control, Robotics and Systems 21, no. 9 (September 1, 2015): 858–62. http://dx.doi.org/10.5302/j.icros.2015.15.0104.

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Ghosh, Bijoy K., Di Xiao, Ning Xi, and Tzyh-Jong Tarn. "3D Part Manipulation Aided by Uncalibrated Mono-Camera *." IFAC Proceedings Volumes 30, no. 20 (September 1997): 741–46. http://dx.doi.org/10.1016/s1474-6670(17)44345-x.

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Mohedano, Raul, and Narciso Garcia. "Robust multi-camera 3D tracking from mono-camera 2d tracking using Bayesian Association." IEEE Transactions on Consumer Electronics 56, no. 1 (February 2010): 1–8. http://dx.doi.org/10.1109/tce.2010.5439118.

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., Sandip Mahajan. "OBSTACLE DETECTION USING MONO VISION CAMERA AND LASER SCANNER." International Journal of Research in Engineering and Technology 02, no. 12 (December 25, 2013): 684–90. http://dx.doi.org/10.15623/ijret.2013.0212117.

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Davarci, Aylin, Nico Schick, and Reiner Marchthaler. "Detection of Perpendicular Parking Spaces with a Mono Camera." ATZ worldwide 120, no. 12 (November 30, 2018): 66–69. http://dx.doi.org/10.1007/s38311-018-0176-7.

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Sato, Kei, Keisuke Yoneda, Ryo Yanase, and Naoki Suganuma. "Mono-Camera-Based Robust Self-Localization Using LIDAR Intensity Map." Journal of Robotics and Mechatronics 32, no. 3 (June 20, 2020): 624–33. http://dx.doi.org/10.20965/jrm.2020.p0624.

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An image-based self-localization method for automated vehicles is proposed herein. The general self-localization method estimates a vehicle’s location on a map by collating a predefined map with a sensor’s observation values. The same sensor, generally light detection and ranging (LIDAR), is used to acquire map data and observation values. In this study, to develop a low-cost self-localization system, we estimate the vehicle’s location on a LIDAR-created map using images captured by a mono-camera. The similarity distribution between a mono-camera image transformed into a bird’s-eye image and a map is created in advance by template matching the images. Furthermore, a method to estimate a vehicle’s location based on the acquired similarity is proposed. The proposed self-localization method is evaluated on the driving data from urban public roads; it is found that the proposed method improved the robustness of the self-localization system compared with the previous camera-based method.
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Chao Zhichao, 晁志超, 伏思华 Fu Sihua, 姜广文 Jiang Guangwen, and 于起峰 Yu Qifeng. "Mono Camera and Laser Rangefinding Sensor Position-Pose Measurement System." Acta Optica Sinica 31, no. 3 (2011): 0312001. http://dx.doi.org/10.3788/aos201131.0312001.

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Muslikhin, D. Irmawati, F. Arifin, A. Nasuha, N. Hasanah, and Y. Indrihapsari. "Prediction of XYZ coordinates from an image using mono camera." Journal of Physics: Conference Series 1456 (January 2020): 012015. http://dx.doi.org/10.1088/1742-6596/1456/1/012015.

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Cho, Yeongcheol, Seungwoo Kim, and Seongkeun Park. "A Lane Following Mobile Robot Navigation System Using Mono Camera." Journal of Physics: Conference Series 806 (February 2017): 012003. http://dx.doi.org/10.1088/1742-6596/806/1/012003.

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Dissertations / Theses on the topic "Mono camera"

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Nilsson, Fredrik. "Vehicle Tracking with Heading Estimation using a Mono Camera System." Thesis, Linköpings universitet, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148495.

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Advanced driver assistance systems (ADAS) is a popular and evolving area of research and development. By providing assistance to the vehicle drivers, ADAS could significantly reduce the number of traffic accidents since 90 % of all accidentsare caused by the human factor. ADAS with cameras provides a wide field of view and thanks to today’s advanced image processing techniques, lots of informationcan be extracted from the camera image. This thesis proposes a method of estimating the heading of vehicles using a mono camera system. The method consists of an extended Kalman filter with a constant velocity motion model to predict the vehicle’s path, fed by classification measurements from machine learning algorithms together with angular rate measurements. Monte Carlo simulations performed in this thesis show promising results. The results on real-world data indicate that the method used to construct the angular rate measurements must be improved in order to reach the same results as obtained from the simulations. An additional measurement, the vehicle’s corners, is introduced in order to further provide the filter with information. The thesis shows that the mono camera system needs further improvements in order to reach the same level of performance as a stereo camera system.
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Ekström, Marcus. "Road Surface Preview Estimation Using a Monocular Camera." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151873.

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Recently, sensors such as radars and cameras have been widely used in automotives, especially in Advanced Driver-Assistance Systems (ADAS), to collect information about the vehicle's surroundings. Stereo cameras are very popular as they could be used passively to construct a 3D representation of the scene in front of the car. This allowed the development of several ADAS algorithms that need 3D information to perform their tasks. One interesting application is Road Surface Preview (RSP) where the task is to estimate the road height along the future path of the vehicle. An active suspension control unit can then use this information to regulate the suspension, improving driving comfort, extending the durabilitiy of the vehicle and warning the driver about potential risks on the road surface. Stereo cameras have been successfully used in RSP and have demonstrated very good performance. However, the main disadvantages of stereo cameras are their high production cost and high power consumption. This limits installing several ADAS features in economy-class vehicles. A less expensive alternative are monocular cameras which have a significantly lower cost and power consumption. Therefore, this thesis investigates the possibility of solving the Road Surface Preview task using a monocular camera. We try two different approaches: structure-from-motion and Convolutional Neural Networks.The proposed methods are evaluated against the stereo-based system. Experiments show that both structure-from-motion and CNNs have a good potential for solving the problem, but they are not yet reliable enough to be a complete solution to the RSP task and be used in an active suspension control unit.
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Scotté, Camille. "Spontaneous compressive Raman technology : developments and applications." Thesis, Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0174.

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La diffusion Raman spontanée est un processus physique qui permet de caractériser la composition d’un système chimique au niveau moléculaire. Ne nécessitant pas de marqueur mais simplement une source lumineuse, elle est utilisée dans de nombreux domaines, aussi variés que la recherche biomédicale ou que le contrôle qualité industriel. Néanmoins, l’efficience de ce simple processus est faible, et les temps d’acquisition qui en résultent sont donc conséquents. De plus, les méthodes d’acquisition conventionnelles du signal Raman génèrent de larges volumes de données et utilisent des détecteurs parfois peu sensibles, ce qui amplifie les temps d’acquisition déjà longs. Ainsi, l’utilisation du Raman spontané – processus pourtant simple et efficace – est alors limitée, particulièrement en biologie. Il semble donc pertinent de chercher à rendre la technique plus efficiente, c’est-à-dire plus rapide tout en conservant sa simplicité. Pour ce faire, dans le cadre de cette thèse, nous nous plaçons dans le cas où les espèces chimiques contenues dans l’échantillon sont déjà connues, et nous cherchons à estimer leurs concentrations respectives. Nous concevons un montage optique en utilisant des outils de traitement du signal, afin de rendre l’acquisition plus efficiente. Nous montrons des résultats préliminaires qui suggèrent l’utilité de la technique pour certaines applications, dans les domaines de l’imagerie biomédicale, de l’industrie pharmaceutique et de l’environnement
Spontaneous Raman scattering is a physical process that provides a unique knowledge of materials at the molecular level. Since it does not require any label but simply a source of light, it is used in many different fields, ranging from biomedical research to industrial quality control. Nevertheless, this simple process has a limited efficiency and requires substantial acquisition times. In addition, the conventional methods to acquire the Raman signal generate overwhelmingly large data sets, and sometimes use detectors with limited sensitivity, which amplify the already long acquisition times. Thus, the use of spontaneous Raman – yet effective and simple – is limited, especially in biology. Therefore, it seems relevant to try to make the technique more efficient, that is to say faster while keeping its simplicity. To do so, in this thesis work, we consider that the chemical species contained in the sample are a priori known, and we wish to estimate their respective concentrations. We design an optical setup that uses signal processing tools to make the acquisition more efficient. We show some preliminary results that suggest the technique usefulness for fields related to biomedical imaging, pharmaceutical industry and the environment
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Yu, Li. "Localisation Absolue par Mono-caméra d'un Véhicule en Milieu Urbain via l'utilisation de Street View." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM003/document.

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Dans un travail réalisé au Centre de Robotique et à l'Institut VEDECOM, nous nous sommes intéressés aux systèmes robustes de localisation visuelle en milieu urbain pour la voiture autonome. Obtenir une pose exacte à partir d'une mono-caméra est difficile et insuffisant en terme de précision pour la voiture autonome actuelle. Nous nous sommes concentrés sur l'utilisation de Systèmes d'Information Géographiques (SIG) pour concevoir une approche fiable, précise et absolue de localisation en milieu urbain.Le développement de SIG publics nous a apporté un nouvel horizon pour résoudre le problème de la localisation, mais ses informations, telles que les cartes topologiques, sémantiques, métriques, les Street Views, les cartes de profondeur, les cartes cadastrales 3D et les cartes en haute définition, doivent être bien analysées et organisées pour extraire les informations pertinentes pour une voiture autonome. Notre première tâche consistait à concevoir une base de données hors ligne accessible par un robot à partir d'un SIG public dense, à savoir Google Maps, qui a l'avantage d'avoir une couverture mondiale. Nous générons une représentation topométrique compacte de l'environnement urbain en extrayant quatre données utiles du SIG, y compris : les topologies, les géo-coordonnées, les Street Views panoramiques et les cartes de profondeur associées. Dans le même temps, un ensemble de données en ligne a été acquis par une mono-caméra équipée sur les véhicules de VEDECOM. Afin de rendre les Street View sphériques compatibles avec l'imagerie en ligne, une transformation basée sur l'interpolation d'image est introduite pour obtenir des images rectilignes à partir de Street Views.Nous proposons deux méthodes de localisation : l'une est une approche de vision par ordinateur basée sur l'extraction de caractéristiques, l'autre est une méthode d'apprentissage basée sur les réseaux de neurones convolutionnels (convnet). En vision par ordinateur, l'extraction de caractéristiques est un moyen populaire de résoudre le positionnement à partir d'images. Nous tirons parti de Google Maps et utilisons ses données topo-métriques hors ligne pour construire un positionnement grossier à fin, à savoir un processus de reconnaissance de lieu topologique puis une estimation métrique de pose par optimisation de graphe. La méthode a été testée en environnement urbain et démontre à la fois une précision sous-métrique et une robustesse aux changements de point de vue, à l'illumination et à l'occlusion. Aussi, les résultats montrent que les emplacements éloignés de Street Views produisent une erreur significative dans la phase d'estimation métrique. Ainsi, nous proposons de synthétiser des Street Views artificielles pour compenser la densité des Street View originales et améliorer la précision.Cette méthode souffre malheureusement d'un temps de calcul important. Étant donné que le SIG nous offre une base de données géolocalisée à l'échelle mondiale, cela nous motive à régresser des localisations globales directement à partir d'un convnet de bout en bout. La base de données hors ligne précédemment construite est encore insuffisante pour l'apprentissage d'un convnet. Pour compenser cela nous densifions la base d'origine d'un facteur mille et utilisons la méthode d'apprentissage par transfert pour faire converger notre régresseur convnet et avoir une bonne performance. Le régresseur permet également d'obtenir une localisation globale à partir d'une seule image et en temps réel.Les résultats obtenus par ces deux approches nous fournissent des informations sur la comparaison et la relation entre les méthodes basées sur des caractéristiques et celles basées sur le convnet. Après avoir analysé et comparé les performances de localisation des deux méthodes, nous avons également abordé des perspectives pour améliorer la robustesse et la précision de la localisation face au problème de localisation urbaine assistée par SIG
In a work made at Centre de Robotique and Institut VEDECOM, we studied robust visual urban localization systems for self-driving cars. Obtaining an exact pose from a monocular camera is difficult and cannot be applied to the current autonomous cars. We mainly focused on fully leveraging Geographical Information Systems (GIS) to achieve a low-cost, robust, accurate and global urban localization.The development of public GIS's has brought us a new horizon to address the localization problem but their tremendous amount of information, such as topological, semantic, metric maps, Street Views, depth maps, 3D cadastral maps and High Definition maps, has to be well analyzed and organized to extract relevant information for self-driving cars. Our first task was to design a robotic accessible offline database from a dense public GIS, namely Google Maps, which has the advantage to propose a worldwide coverage. We make a compact topometric representation for the dynamic urban environment by extracting four useful data from the GIS, including topologies, geo-coordinates, panoramic Street Views, and associated depth maps. At the same time, an online dataset was acquired with a low-cost camera equipped on VEDECOM vehicles. In order to make spheric Street Views compatible with the online imagery, an image warping and interpolation based transformation is introduced to render rectilinear images from Street Views.We proposed two localization methods: one is a handcrafted-features-based computer vision approach, the other is a convolutional neural network (convnet) based learning technique. In computer vision, extracting handcrafted features is a popular way to solve the image based positioning. We take advantages of the abundant sources from Google Maps and benefit from the topometric offline data structure to build a coarse-to-fine positioning, namely a topological place recognition process and then a metric pose estimation by a graph optimization. The method is tested on an urban environment and demonstrates both sub-meter accuracy and robustness to viewpoint changes, illumination and occlusion. Moreover, we demonstrate that sparse Street View locations produce a significant error in the metric pose estimation phase. Thus our former framework is refined by synthesizing more artificial Street Views to compensate the sparsity of original Street Views and improve the precision.The handcrafted feature based framework requires the image retrieval and graph optimization. It is hard to achieve in a real-time application. Since the GIS offers us a global scale geotagged database, it motivates us to regress global localizations from convnet features in an end-to-end manner. The previously constructed offline database is still insufficient for a convnet training. We hereby augment the originally constructed database by a thousand factor and take advantage of the transfer learning method to make our convnet regressor converge and have a good performance. In our test, the regressor can also give a global localization of an input camera image in real time.The results obtained by the two approaches provide us insights on the comparison and connection between handcrafted feature-based and convnet based methods. After analyzing and comparing the localization performances of both methods, we also talked about some perspectives to improve the localization robustness and precision towards the GIS-aided urban localization problem
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Stein, Madeleine. "Improving Image Based Fruitcount Estimates Using Multiple View-Points." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132402.

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This master-thesis presents an approach to track and count the number of fruit incommercial mango orchards. The algorithm is intended to enable precision agri-culture and to facilitate labour and post-harvest storage planning. The primary objective is to develop an multi-view algorithm and investigate how it can beused to mitigate the effects of visual occlusion, to improve upon estimates frommethods that use a single central or two opposite viewpoints. Fruit are detectedin images by using two classification methods: dense pixel-wise cnn and regionbased r-cnn detection. Pair-wise fruit correspondences are established between images by using geometry provided by navigation data, and lidar data is used to generate image masks for each separate tree, to isolate fruit counts to individual trees. The tracked fruit are triangulated to locate them in 3D space, and spatial statistics are calculated over whole orchard blocks. The estimated tree counts are compared to single view estimates and validated against ground truth data of 16 mango trees from a Bundaberg mango orchard in Queensland, Australia. The results show a high R2-value of 0.99335 for four hand labelled trees and a highest R2-value of 0.9165 for the machine labelled images using the r-cnn classifier forthe 16 target trees.
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Hultqvist, Daniel. "Detection and tracking of overtaking vehicles." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94583.

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The car has become bigger, faster and more advanced for each passing year since its first appearance, and the safety requirements have also become stricter. Computer vision based support is a growing area of safety features where the car is equipped with a mono- or stereo camera. It can be used for detecting pedestrians walking out in the street, give a warning for wild-life during a cold January night using night-vision cameras and much more. This master thesis investigates the problem of detecting and tracking overtaking vehicles. Vehicles that overtake are only partly visible in the beginning, rendering it hard for standard detection/classification algorithms to get a positive detection. The need to quickly detect an incoming vehicle is crucial to be able to take fast counter-measure, such as braking, if needed. A novel approach referred to as the \textit{Wall detector} is suggested, detecting incoming vehicles using one-dimensional optical flow. Under the assumption that an overtaking car is moving in parallel to the ego-vehicle, both cars are moving towards the vanishing point in the image. A detection wall, consisting of several detection lines moving towards the vanishing point, is created, making all objects that are moving parallel to the ego-vehicle move along these lines. The result is a light-weight and fast detector with good detection performance in real-time. Several approaches for the Wall detector are implemented and evaluated, revealing that a feature based approach is the best choice. The information from the system can be used as input to heavier algorithms, boosting the confidence or to initialize a track.
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Lojacono, Xavier. "Image reconstruction for Compton camera with application to hadrontherapy." Thesis, Lyon, INSA, 2013. http://www.theses.fr/2013ISAL0126/document.

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La caméra Compton est un dispositif permettant d’imager les sources de rayonnement gamma. Ses avantages sont sa sensibilité (absence de collimateur mécanique) et la possibilité de reconstruire des images 3D avec un dispositif immobile. Elle également adaptée pour des sources à large spectre énergétique. Ce dispositif est un candidat prometteur en médecine nucléaire et en hadronthérapie. Ces travaux, financés par le projet européen ENVISION (European NoVel Imaging Systems for ION therapy) Coopération-FP7, portent sur le développement de méthodes de reconstruction d’images pour la caméra Compton pour la surveillance de la thérapie par ions. Celle-ci nécessite idéalement une reconstruction temps réel avec une précision millimétrique, même si le nombre de données acquises est relativement faible. Nous avons développé des méthodes analytiques et itératives. Leurs performances sont analysées dans le contexte d’acquisitions réalistes (géométrie de la caméra, nombre d’événements). Nous avons développé une méthode analytique de rétroprojection filtrée. Cette méthode est rapide mais nécessite beaucoup de données. Nous avons également développé des méthodes itératives utilisant un algorithme de maximisation de la fonction de vraisemblance. Nous avons proposé un modèle probabiliste pour l’estimation des éléments de la matrice système nécessaire à la reconstruction et nous avons développé différentes approches pour le calcul de ses éléments : l’une néglige les incertitudes de mesure sur l’énergie, l’autre les prend en compte en utilisant une distribution gaussienne. Nous avons étudié une méthode simplifiée utilisant notre modèle probabiliste. Plusieurs reconstructions sont menées à partir de données simulées, obtenues avec Geant4, mais provenant aussi de plusieurs prototypes simulés de caméra Compton proposés par l’Institut de Physique Nucléaire de Lyon (IPNL) et par le Centre de recherche de Dresde-Rossendorf en Allemagne. Les résultats sont prometteurs et des études plus poussées, à partir de données encore plus réalistes, viseront à les confirmer
The Compton camera is a device for imaging gamma radiation sources. The advantages of the system lie in its sensitivity, due to the absence of mechanical collimator, and the possibility of imaging wide energy spectrum sources. These advantages make it a promising candidate for application in hadrontherapy. Funded by the european project ENVISION, FP7-Cooperation Work Program, this work deals with the development of image reconstruction methods for the Compton camera. We developed both analytical and iterative methods in order to reconstruct the source from cone-surface projections. Their performances are analyzed with regards to the context (geometry of the camera, number of events). We developped an analytical method using a Filtered BackProjection (FBP) formulation. This method is fast but really sensitive to the noise. We have also developped iterative methods using a List Mode-Maximum Likelihood Expectation Maximization (LM-MLEM) algorithm. We proposed a new probabilistic model for the computation of the elements of the system matrix and different approaches for the calculation of these elements neglecting or not the measurement uncertainties. We also implemented a simplified method using the probabilistic model we proposed. The novelty of the method also lies on the specific discretization of the cone-surface projections. Several studies are carried out upon the reconstructions of simulated data worked out with Geant4, but also simulated data obtained from several prototypes of Compton cameras under study at the Institut de Physique Nucléaire de Lyon (IPNL) and at the Research Center of Dresden-Rossendorf. Results are promising, and further investigations on more realistic data are to be done
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Lundagårds, Marcus. "Vehicle Detection in Monochrome Images." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11819.

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The purpose of this master thesis was to study computer vision algorithms for vehicle detection in monochrome images captured by mono camera. The work has mainly been focused on detecting rear-view cars in daylight conditions. Previous work in the literature have been revised and algorithms based on edges, shadows and motion as vehicle cues have been modified, implemented and evaluated. This work presents a combination of a multiscale edge based detection and a shadow based detection as the most promising algorithm, with a positive detection rate of 96.4% on vehicles at a distance of between 5 m to 30 m. For the algorithm to work in a complete system for vehicle detection, future work should be focused on developing a vehicle classifier to reject false detections.

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Maynard, Zachary C. "Designing Compressed Narrative using a Reactive Frame: The Influence of Spatial Relationships and Camera Composition on the Temporal Structure of Story Events." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345491195.

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Schennings, Jacob. "Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-336923.

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Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing real-time depth estimation on single monocular images is implemented and evaluated. Many of the vision based automatic brake systems in modern vehicles only detect pre-trained object types such as pedestrians and vehicles. These systems fail to detect general objects such as road debris and roadside obstacles. In stereo vision systems the problem is resolved by calculating a disparity image from the stereo image pair to extract depth information. The distance to an object can also be determined using radar and LiDAR systems. By using this depth information the system performs necessary actions to avoid collisions with objects that are determined to be too close. However, these systems are also more expensive than a regular mono camera system and are therefore not very common in the average consumer car. By implementing robust depth estimation in mono vision systems the benefits from active safety systems could be utilized by a larger segment of the vehicle fleet. This could drastically reduce human error related traffic accidents and possibly save many lives. The network architecture evaluated in this thesis is more lightweight than other CNN architectures previously used for monocular depth estimation. The proposed architecture is therefore preferable to use on computationally lightweight systems. The network solves a supervised regression problem during the training procedure in order to produce a pixel-wise depth estimation map. The network was trained using a sparse ground truth image with spatially incoherent and discontinuous data and output a dense spatially coherent and continuous depth map prediction. The spatially incoherent ground truth posed a problem of discontinuity that was addressed by a masked loss function with regularization. The network was able to predict a dense depth estimation on the KITTI dataset with close to state-of-the-art performance.
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Books on the topic "Mono camera"

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1431-1506, Mantegna Andrea, ed. La più bella camera del mondo: La Camera dipinta di Andrea Mantegna detta degli Sposi. 2nd ed. Mantova: MP, 2002.

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Signorini, Rodolfo. Opus hoc tenue: La "archetipata" Camera dipinta detta "degli sposi" di Andrea Mantegna : lettura storica iconografica iconologica della "più bella camera del mondo". 2nd ed. Mantova: MP marketing pubblicità, 2007.

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Nesti, Arnaldo, and Alba Scarpellini, eds. Mondo democristiano, mondo cattolico nel secondo Novecento italiano. Florence: Firenze University Press, 2006. http://dx.doi.org/10.36253/88-8453-469-0.

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"This book is the fruit of "excavations" carried out in memory of Prof. Corrado Corghi between 2004 and 2005. At the time Corghi was a member of the Presiding Council of the Istituto degli Innocenti of Florence. When the meetings of the Council were held, Corghi came down from Reggio Emilia to Florence, and in the evenings he was frequently my guest at dinner. These meetings enabled me to enjoy extensive tracking shots of the past, thanks to the extraordinary lucidity of a man born in 1920 who had devoted most of his life to politics. On the basis of our lengthy discussions I was able to revoke people and events from Fascism to the Resistance, from the times of Democrazia Cristiana to the funerals of the "victims of Reggio Emilia" (1960), through to the Vatican Council and the season of '68. These talks of ours gave rise to singular documents of the life and social history of the Italians. With this volume, the historic-social Archive on contemporary religion of San Gimignano presents itself with its distinctive features to the broad public and to researchers." (A. Nesti)
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Signorini, Rodolfo. La più bella camera del mondo: La camera dipinta di Andrea Mantegna detta dagli sposi : the most beautiful room in the world : the painted room by Andrea Mantegna. Mantova: MP, 1992.

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Black and blue: The bruised passion of Camera lucida, la Jetée, Sans soleil, and Hiroshima mon amour. Durham: Duke University Press, 2012.

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Reflex numérique: Technique et pratique : du clic à l'impression : le guide essentiel du reflex numérique! Montréal: Sélection Reader's Digest, 2009.

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A guisa di un immenso molo: Le istituzioni per il commercio estero nell'Italia postunitaria. Roma: Aracne, 2008.

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I boss della camorra: Una tra le più potenti organizzazioni criminali del mondo raccontata attraverso la vita e "le imprese" dei suoi capi : dai "guappi" gentiluomini agli spietati boia di Scampìa. Roma: Newton Compton, 2007.

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Caracchini, Cristina, and Enrico Minardi, eds. Il pensiero della poesia. Florence: Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-480-0.

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Cosa hanno in comune gli studi raccolti in questo volume, su autori così disparati come Conte, Palazzeschi, Zanzotto, Caproni, Rosselli, Biagini, alcuni poeti crepuscolari, Leopardi, Annovi, Giuliani, e perfino certe traduzioni novecentesche di R.M. Rilke? La convinzione che la parola poetica – etimologicamente ‘creatrice’ – generi prospettive cognitive che alterano la nostra percezione del mondo. La lettura della poesia non ha un effetto confinato alla pagina e al momento, ma incide sul nostro rapporto con la realtà, lo cambia e lo arricchisce in maniera spesso insospettabile e sorprendente. In questa raccolta, si cerca dunque di far emergere una sorta di epistemologia della poesia, di chiarire insomma come essa contribuisca ad illuminare la nostra esperienza del mondo e di noi stessi. Il lettore è allora invitato a guardare al di fuori dei confini tradizionalmente stabiliti dalle diverse discipline, in una direzione che è quella della contaminazione reciproca e dell’apertura a suggestioni innovative ed inedite.
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Night photography: Finding your way in the dark. Amsterdam: Focal Press, 2010.

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Book chapters on the topic "Mono camera"

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Wiese, Gernot, Alexander Weitzel, and Angelo Raczek. "Next generation Opel Eye – mono-camera-based emergency braking assistant systems." In Fahrerassistenzsysteme 2016, 71–83. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21444-9_6.

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Bohacs, Gabor, Zoltan Rozsa, and Balint Bertalan. "Mono Camera Based Pallet Detection and Pose Estimation for Automated Guided Vehicles." In LISS 2020, 1–11. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4359-7_1.

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Song, Jaehong, Sangik Na, Kim Hong-Gab, Hyongsuk Kim, and Lin Chun-shin. "A Depth Measurement System Associated with a Mono-camera and a Rotating Mirror." In Advances in Multimedia Information Processing — PCM 2002, 1145–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_142.

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Matsuda, Keiji, Takeshi Nagami, Yasuko Sugase, Aya Takemura, and Kenji Kawano. "A Widely Applicable Real-Time Mono/Binocular Eye Tracking System Using a High Frame-Rate Digital Camera." In Human-Computer Interaction. User Interface Design, Development and Multimodality, 593–608. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58071-5_45.

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Li, Chunlai, Jianjun Liu, Lingli Mu, Xin Ren, and Wei Zuo. "Introduction of the CCD Stereo Camera." In The Chang’E-1 Topographic Atlas of the Moon, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48439-5_1.

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Mobberley, Martin. "Selsey and the Race to the Moon." In It Came From Outer Space Wearing an RAF Blazer!, 207–27. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00609-3_13.

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Appenrodt, Jörg, Ayoub Al-Hamadi, Mahmoud Elmezain, and Bernd Michaelis. "Data Gathering for Gesture Recognition Systems Based on Mono Color-, Stereo Color- and Thermal Cameras." In Future Generation Information Technology, 78–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10509-8_10.

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Dick, Steven J. "Geodesy, Time, and the Markowitz Moon Camera Program: An Interwoven International Geophysical Year Story." In Space, Time, and Aliens, 479–500. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41614-0_29.

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Dick, Steven J. "Geodesy, Time, and the Markowitz Moon Camera Program: An Interwoven International Geophysical Year Story." In Globalizing Polar Science, 307–28. New York: Palgrave Macmillan US, 2010. http://dx.doi.org/10.1057/9780230114654_17.

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Mobberley, Martin. "A Bestselling Author, Nutters and More Moon Landings." In It Came From Outer Space Wearing an RAF Blazer!, 239–50. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00609-3_15.

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Conference papers on the topic "Mono camera"

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Tiefenbacher, Philipp, Michael Sirch, and Gerhard Rigoll. "Mono camera multi-view diminished reality." In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2016. http://dx.doi.org/10.1109/wacv.2016.7477633.

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Ko Htet, Kyaw Ko, Tan Kok Kiong, and Du Xinxin. "Comprehensive lane keeping system with mono camera." In 2015 10th Asian Control Conference (ASCC). IEEE, 2015. http://dx.doi.org/10.1109/ascc.2015.7244478.

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Yoneda, Keisuke, Ryo Yanase, Mohammad Aldibaja, Naoki Suganuma, and Kei Sato. "Mono-camera based localization using digital map." In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2017. http://dx.doi.org/10.1109/iecon.2017.8217454.

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Popescu, Dan, Loretta Ichim, Radu Fratila, and Diana Gornea. "Reconfigurable robotic system based on mono-camera guidance." In 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2014. http://dx.doi.org/10.1109/ecai.2014.7090222.

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Gornea, Diana, Dan Popescu, Grigore Stamatescu, and Radu Fratila. "Mono-camera robotic system for tracking moving objects." In 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2014. http://dx.doi.org/10.1109/iciea.2014.6931463.

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Mohedano, Raul, and Narciso Garcia. "Robust 3D multi-camera tracking from 2D mono-camera tracks by Bayesian association." In 2010 IEEE International Conference on Consumer Electronics (ICCE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icce.2010.5418780.

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Fardi, Basel, Tobias John, and Gerd Wanielik. "Non-rigid-motion recognition using a moving mono camera." In 2009 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2009. http://dx.doi.org/10.1109/ivs.2009.5164281.

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Schule, Florian, Roland Schweiger, Oliver Hartmann, and Klaus Dietmayer. "Mono-camera based pitch rate estimation in nighttime scenarios." In 2012 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2012. http://dx.doi.org/10.1109/ivs.2012.6232241.

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Baek, Jang Woon, Kee-Koo Kwon, and Soo-In Lee. "Mono-camera based vehicle detection using effective candidate generation." In 2014 International Symposium on Consumer Electronics (ICSE). IEEE, 2014. http://dx.doi.org/10.1109/isce.2014.6884432.

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Mohedano, Raul, and Narciso Garcia. "Capabilities and limitations of mono-camera pedestrian-based autocalibration." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5653359.

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Reports on the topic "Mono camera"

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Olivares, Claudio, Camilo Urbano, Darío Hidalgo, Natalia Tinjacá, José Manuel Pérez, Maria Clara Gutiérrez, Cristian Navas, Claudia Glen, Lauramaría Pedraza, and Manuel Rodriguez Porcel. Mapas de viaje: Metodología para el diagnóstico y propuestas de mejora de la accesibilidad universal en sistemas de transporte público en América Latina y el Caribe. Edited by Isabel Granada and Camila Ramos. Inter-American Development Bank, December 2019. http://dx.doi.org/10.18235/0002065.

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AUTOROlivares, Claudio; Urbano, Camilo; Hidalgo, Darío; Tinjacá, Natalia; Pérez, José Manuel; Gutiérrez, Maria Clara; Navas, Cristian; Glen, Claudia; Pedraza, Lauramaría; Rodriguez Porcel, ManuelFECHADec 2019DESCARGA:Español (928 descargas)DOIhttp://dx.doi.org/10.18235/0002065EDITORIsabel Granada, Camila RamosSe propone una nueva metodología, mapeando experiencias de viaje, para identificar las barreras y brechas en la accesibilidad universal para usuarios del transporte público con discapacidad, movilidad reducida permanente o temporal y de viajes asociados al cuidado. La metodología se centra en la experiencia de viaje de estos usuarios teniendo en cuenta sus percepciones, sentimientos y emociones. Para ello, la metodología utiliza métodos etnográficos y proporciona una representación gráfica del viaje o Mapa de Viaje de Cliente (MVC). Esta herramienta ayuda a identificar elementos clave para visualizar la aplicación de la metodología y permite orientar a los investigadores para encontrar brechas y barreras de modo que permita definir acciones de mejora en la planificación, diseño, implementación y operación de los sistemas de transporte público. La metodología tiene dos partes: i) Acompañamiento y observación del viaje completo y cotidiano de las personas con discapacidad permanente o temporal, y ii) análisis y visualización de la experiencia de viaje, mediante la elaboración de un Mapa de Viaje de Cliente para cada uno de los usuarios observados. La metodología se aplicó en Bogotá, Santiago de Chile y Medellín. Los resultados de la metodología permitieron formular recomendaciones de políticas para mejorar los sistemas de transporte de estas ciudades a corto, mediano y largo plazo.
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