Relevant bibliographies by topics / Camera pose

Contents

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

Academic literature on the topic 'Camera pose'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Camera pose"

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Sudars, K., R. Cacurs, I. Homjakovs, and J. Judvaitis. "LEDs based video camera pose estimation." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 4 (2015): 897–905. http://dx.doi.org/10.1515/bpasts-2015-0102.

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Abstract For 3D object localization and tracking with multiple cameras the camera poses have to be known within a high precision. The paper evaluates camera pose estimation via a fundamental matrix and via the known object in environment of multiple static cameras. A special feature point extraction technique based on LED (Light Emitting Diodes) point detection and matching has been developed for this purpose. LED point detection has been solved searching local maximums in images and LED point matching has been solved involving patterned time functions for each light source. Emitting LEDs have
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Zhang, Zhe, Chunyu Wang, and Wenhu Qin. "Semantically Synchronizing Multiple-Camera Systems with Human Pose Estimation." Sensors 21, no. 7 (2021): 2464. http://dx.doi.org/10.3390/s21072464.

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Multiple-camera systems can expand coverage and mitigate occlusion problems. However, temporal synchronization remains a problem for budget cameras and capture devices. We propose an out-of-the-box framework to temporally synchronize multiple cameras using semantic human pose estimation from the videos. Human pose predictions are obtained with an out-of-the-shelf pose estimator for each camera. Our method firstly calibrates each pair of cameras by minimizing an energy function related to epipolar distances. We also propose a simple yet effective multiple-person association algorithm across cam
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Li, Jing, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, and Yizhou Wang. "Pose-Assisted Multi-Camera Collaboration for Active Object Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 759–66. http://dx.doi.org/10.1609/aaai.v34i01.5419.

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Active Object Tracking (AOT) is crucial to many vision-based applications, e.g., mobile robot, intelligent surveillance. However, there are a number of challenges when deploying active tracking in complex scenarios, e.g., target is frequently occluded by obstacles. In this paper, we extend the single-camera AOT to a multi-camera setting, where cameras tracking a target in a collaborative fashion. To achieve effective collaboration among cameras, we propose a novel Pose-Assisted Multi-Camera Collaboration System, which enables a camera to cooperate with the others by sharing camera poses for ac
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Chino, Masaki, Junwoon Lee, Qi An, and Atsushi Yamashita. "Robot Localization by Data Integration of Multiple Thermal Cameras in Low-Light Environment." International Journal of Automation Technology 19, no. 4 (2025): 566–74. https://doi.org/10.20965/ijat.2025.p0566.

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A method is proposed for interpolating pose information by integrating data from multiple thermal cameras when a global navigation satellite system temporarily experiences a decrease in accuracy. When temperature information obtained from thermal cameras is visualized, a two-stage temperature range restriction is applied to focus only on areas with temperature variations, making conversion into clearer images possible. To compensate for the narrow field of view of thermal cameras, multiple thermal cameras are oriented in different directions. Pose estimation is performed with each camera, and
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Minami, Mamoru, and Wei Song. "Hand-Eye Motion-Invariant Pose Estimation with Online 1-Step GA -3D Pose Tracking Accuracy Evaluation in Dynamic Hand-Eye Oscillation-." Journal of Robotics and Mechatronics 21, no. 6 (2009): 709–19. http://dx.doi.org/10.20965/jrm.2009.p0709.

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This paper presents online pose measurement for a 3-dimensional (3-D) object detected by stereo hand-eye cameras. Our proposal improves 3-D pose tracking accuracy by compensating for the fictional motion of the target in camera images stemming from the ego motion of the hand-eye camera caused by dynamic manipulator oscillation. This motion feed-forward (MFF) is combined into the evolutionary search of a genetic algorithm (GA) and fitness evaluation based on stereo model matching whose pose is expressed using a unit quaternion. The proposal’s effectiveness was confirmed in simulation tracking a
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Kaichi, Tomoya, Tsubasa Maruyama, Mitsunori Tada, and Hideo Saito. "Resolving Position Ambiguity of IMU-Based Human Pose with a Single RGB Camera." Sensors 20, no. 19 (2020): 5453. http://dx.doi.org/10.3390/s20195453.

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Human motion capture (MoCap) plays a key role in healthcare and human–robot collaboration. Some researchers have combined orientation measurements from inertial measurement units (IMUs) and positional inference from cameras to reconstruct the 3D human motion. Their works utilize multiple cameras or depth sensors to localize the human in three dimensions. Such multiple cameras are not always available in our daily life, but just a single camera attached in a smart IP devices has recently been popular. Therefore, we present a 3D pose estimation approach from IMUs and a single camera. In order to
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Tang, Shengjun, Weixi Wang, Xiaoming Li, and Zhilu Yuan. "Stereo RGB-D indoor mapping with precise stream fusing strategy." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-362-2019.

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<p><strong>Abstract.</strong> In order to achieve more robust pose tracking and mapping of visual SLAM, the robotics researcher has recently shown a growing interest in utilising multiple camera, which is able to provide more sufficient observations to fulfil the frame registration and map updating tasks. This implies that better pose tracking robustness can be achieved by extending monocular visual SLAM to utilise measurements from multiple cameras.[1] proposed a visual SLAM method using multiple RGB-D cameras, which integrate the observations from multi-camera for camera tr
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Oral, Burhan Burak, Alptuğ Çakıcı, and Arman Savran. "Evaluation of Convolutional Networks for Event Camera Face Pose Alignment." Academic Platform Journal of Engineering and Smart Systems 13, no. 2 (2025): 22–30. https://doi.org/10.21541/apjess.1417068.

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Event camera offers substantial advantages over conventional video cameras with their efficiency, extremely high temporal resolutions, low latency, and high dynamic range. These benefits have led to applications in various vision domains. Recently they have been applied in facial recognition tasks as well. However, while significant advantages of event cameras in some facial processing tasks have been demonstrated, the initial stage in almost any task, i.e., face alignment, is not at par with the conventional cameras. This study investigates the use of face alignment convolutional networks reg
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Eichler, Nadav, Hagit Hel-Or, and Ilan Shimshoni. "Spatio-Temporal Calibration of Multiple Kinect Cameras Using 3D Human Pose." Sensors 22, no. 22 (2022): 8900. http://dx.doi.org/10.3390/s22228900.

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RGB and depth cameras are extensively used for the 3D tracking of human pose and motion. Typically, these cameras calculate a set of 3D points representing the human body as a skeletal structure. The tracking capabilities of a single camera are often affected by noise and inaccuracies due to occluded body parts. Multiple-camera setups offer a solution to maximize coverage of the captured human body and to minimize occlusions. According to best practices, fusing information across multiple cameras typically requires spatio-temporal calibration. First, the cameras must synchronize their internal
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Shen, Siyuan, Guanfeng Yu, Lei Zhang, Youyu Yan, and Zhengjun Zhai. "LandNet: Combine CNN and Transformer to Learn Absolute Camera Pose for the Fixed-Wing Aircraft Approach and Landing." Remote Sensing 17, no. 4 (2025): 653. https://doi.org/10.3390/rs17040653.

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Camera localization approaches often degrade in challenging environments characterized by illumination variations and significant viewpoint changes, presenting critical limitations for fixed-wing aircraft landing applications. To address these challenges, we propose LandNet—a novel absolute camera pose estimation network specifically designed for airborne scenarios. Our framework processes images from forward-looking aircraft cameras to directly predict 6-DoF camera poses, subsequently enabling aircraft pose determination through rigid transformation. As a first step, we design two encoders fr
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Dissertations / Theses on the topic "Camera pose"

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Isaksson, Jakob, and Lucas Magnusson. "Camera pose estimation with moving Aruco-board. : Retrieving camera pose in a stereo camera tolling system application." Thesis, Tekniska Högskolan, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-51076.

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Stereo camera systems can be utilized for different applications such as position estimation,distance measuring, and 3d modelling. However, this requires the cameras to be calibrated.This paper proposes a traditional calibration solution with Aruco-markers mounted on avehicle to estimate the pose of a stereo camera system in a tolling environment. Our method isbased on Perspective N Point which presumes the intrinsic matrix to be already known. Thegoal is to find each camera’s pose by identifying the marker corners in pixel coordinates aswell as in world coordinates. Our tests show a worst-cas
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Tabia, Ahmed. "Pose estimation with event camera." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST093.

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La pose de la caméra est utilisée pour décrire la position et l'orientation d'une caméra dans un système de coordonnées absolu, en référence à six degrés de liberté. L'estimation de la pose de la caméra est essentielle dans divers domaines d'application, tels que la réalité augmentée, la navigationrobotique et les véhicules autonomes.Ces domaines exploitent la pose de la caméra pour des calculs ultérieurs, comme la localisation des objets et la perception de la scène.Estimer la pose d'une caméra présente des défis dans différents scénarios ; les conditions d'éclairage médiocres, y compris une
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Dahlqvist, Marcus. "Adaptive Losses for Camera Pose Supervision." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177339.

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This master thesis studies the learning of dense feature descriptors where camera poses are the only supervisory signal. The use of camera poses as a supervisory signal has only been published once before, and this thesis expands on this previous work by utilizing a couple of different techniques meant increase the robustness of the method, which is particularly important when not having access to ground-truth correspondences. Firstly, an adaptive robust loss is utilized to better differentiate inliers and outliers. Secondly, statistical properties during training are both enforced and adapted
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Gilbert, Sebastien. "Camera pose estimation from a stereo setup." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/27138.

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This thesis addresses the problem of estimation of the camera poses with respect to a rigid object, which is equivalent to the problem of tridimensional registration of a moving rigid object before fixed cameras. Matching, tracking and 3D reconstruction of feature points by a stereoscopic vision setup allows the computation of the homogeneous transformation matrix linking two consecutive scene captures. Robustness to errors is provided by the scene rigidity constraint. Accumulation of error is compensated through loop detection in the calculated camera poses. Experimental results show the vali
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Antone, Matthew E. "Robust camera pose recovery using stochastic geometry." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86576.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (p. 177-187).<br>by Matthew E. Antone.<br>Ph.D.
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Liu, Zhe. "Robust, refined and selective matching for accurate camera pose estimation." Thesis, Paris Est, 2015. http://www.theses.fr/2015PEST1020/document.

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Grâce aux progrès récents en photogrammétrie, il est désormais possible de reconstruire automatiquement un modèle d'une scène 3D à partir de photographies ou d'une vidéo. La reconstruction est réalisée en plusieurs étapes. Tout d'abord, on détecte des traits saillants (features) dans chaque image, souvent des points mais plus généralement des régions. Puis on cherche à les mettre en correspondance entre images. On utilise ensuite les traits communs à deux images pour déterminer la pose (positions et orientations) relative des images. Puis les poses sont mises dans un même repère global et la p
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Ringdahl, Viktor. "Stereo Camera Pose Estimation to Enable Loop Detection." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154392.

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Visual Simultaneous Localization And Mapping (SLAM) allows for three dimensionalreconstruction from a camera’s output and simultaneous positioning of the camera withinthe reconstruction. With use cases ranging from autonomous vehicles to augmentedreality, the SLAM field has garnered interest both commercially and academically. A SLAM system performs odometry as it estimates the camera’s movement throughthe scene. The incremental estimation of odometry is not error free and exhibits driftover time with map inconsistencies as a result. Detecting the return to a previously seenplace, a loop, mean
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Ferraz, Colomina Luis. "Viewpoint invariant features and robust monocular Camera pose estimation." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/368568.

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La pose de la càmera respecte a una escena del món real determina la projecció perspectiva de l'escena sobre el pla imatge. L'anàlisi de les deformacions entre parelles d'imatges degudes a la perspectiva i la pose de la càmera han portat a molts investigadors en Visió per Computador a tractar amb problemes com, la capacitat per detectar i buscar coincidències de les mateixes característiques locals a diferents imatges o recuperar per cada imatge la pose original de la càmera. La diferencia entre els dos problemes recau en la localitat de la informació que es mostra a la imatge, mentre en el ca
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Usabiaga, Jorge. "Global hand pose estimation by multiple camera ellipse tracking." abstract and full text PDF (free order & download UNR users only), 2004. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1433386.

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Ižo, Tomáš 1979. "Simultaneous camera calibration and pose estimation from multiple views." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87435.

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Books on the topic "Camera pose"

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Sabbatucci, Valeria. La Terni in posa: Immagini dall'archivio storico della società, 1907-1965 = The Terni Company before the camera : images from the company's historical archives, 1907-1965. Fondazione Cassa di risparmio di Terni e Narni, 2013.

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Whyte, Jeffrey. The Birth of Psychological War. British Academy, 2023. http://dx.doi.org/10.5871/bacad/9780197267493.001.0001.

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Abstract In the current climate of concern over disinformation and the so-called ‘post-truth era,’ psychological warfare has returned to discussions of national and international politics. Yet questions concerning psychological warfare — when, where, and how it came about — are poorly understood. This monograph reveals the complexity of these questions by investigating the historical-geographical contexts in which psychological warfare emerged. Identifying the home front and the foreign theatre as its key contexts, this monograph traces psychological warfare’s trajectory from the Second World
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Elmes, John. Camera Photographer Pose Photography Funny Christmas Gifts: Journal, Lined Notebook, 120 Blank Pages, Journal, 6x9 Inches, Matte Finish Cover. Independently Published, 2020.

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Those That Have POSED for My Camera. Blurb, 2020.

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Those That Have POSED for My Camera. Blurb, 2020.

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Those That Have POSED for My Camera. Blurb, 2017.

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Those That Have POSED for My Camera. Blurb, 2017.

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Those That Have POSED for My Camera. Blurb, 2020.

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Those That Have POSED for My Camera. Blurb, 2017.

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Blasing, Molly Thomasy. Snapshots of the Soul. Cornell University Press, 2021. http://dx.doi.org/10.7591/cornell/9781501753695.001.0001.

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This book considers how photography has shaped Russian poetry from the early twentieth century to the present day. Drawing on theories of the lyric and the elegy, the social history of technology, and little-known archival materials, the book offers close readings of poems by Boris Pasternak, Marina Tsvetaeva, Joseph Brodsky, and Bella Akhmadulina, as well as by the late and post-Soviet poets Andrei Sen-Sen'kov, Arkadii Dragomoshchenko, and Kirill Medvedev, to understand their fascination with the visual language, representational power, and metaphorical possibilities offered by the camera and
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Book chapters on the topic "Camera pose"

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Zhang, Zhengyou. "Camera Pose." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_153.

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Zhang, Zhengyou. "Camera Pose." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_153.

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Witt, Bryan L., J. Justin Wilbanks, Brian C. Owens, and Daniel P. Rohe. "Stereophotogrammetry Camera Pose Optimization." In Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76335-0_3.

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Shavit, Yoli, and Yosi Keller. "Camera Pose Auto-encoders for Improving Pose Regression." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20080-9_9.

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Puwein, Jens, Luca Ballan, Remo Ziegler, and Marc Pollefeys. "Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup." In Computer Vision -- ACCV 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16808-1_32.

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Brown, Adam. "Pause, Then Pose for the Camera." In Activities and Exercises for Teaching English Pronunciation. Routledge, 2021. http://dx.doi.org/10.4324/9781003092247-48.

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Frahm, Jan-Michael, Kevin Köser, and Reinhard Koch. "Pose Estimation for Multi-camera Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28649-3_35.

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Wang, Qianqian, Xiaowei Zhou, Bharath Hariharan, and Noah Snavely. "Learning Feature Descriptors Using Camera Pose Supervision." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58452-8_44.

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Chandraker, Manmohan Krishna, Christoph Stock, and Axel Pinz. "Real-Time Camera Pose in a Room." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36592-3_10.

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Wang, Fei, Caigui Jiang, Nanning Zheng, and Yu Guo. "Camera Pose Estimation Based on Angle Constraints." In Advances in Visual Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17289-2_10.

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Conference papers on the topic "Camera pose"

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Vavra, Vaclav, Torsten Sattler, and Zuzana Kukelova. "Camera Pose Estimation from Bounding Boxes." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801546.

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Khemiri, Nizar. "A new method for manually calculating camera pose." In Seventeenth International Conference on Machine Vision (ICMV 2024), edited by Wolfgang Osten. SPIE, 2025. https://doi.org/10.1117/12.3055068.

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Debnath, Soumyaratna, Harish Katti, Shashikant Verma, and Shanmuganathan Raman. "L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890158.

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Aguilar-González, Abiel, Miguel Arias-Estrada, and François Berry. "Camera Pose Estimation Suitable for Smart Cameras." In ICDSC 2017: International Conference on Distributed Smart Cameras. ACM, 2017. http://dx.doi.org/10.1145/3131885.3131938.

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Camposeco, Federico, Andrea Cohen, Marc Pollefeys, and Torsten Sattler. "Hybrid Camera Pose Estimation." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018. http://dx.doi.org/10.1109/cvpr.2018.00022.

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Fischer, Robert, Michael Hödlmoser, and Margrit Gelautz. "Camera Pose Estimation using Human Head Pose Estimation." In 17th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010879400003124.

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Barrera Machuca, Mayra Donaji, and Wolfgang Stuerzlinger. "3D Camera Pose History Visualization." In SUI '16: Symposium on Spatial User Interaction. ACM, 2016. http://dx.doi.org/10.1145/2983310.2989185.

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Ren, Yuzhuo, and Feng Hu. "Camera Calibration with Pose Guidance." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414468.

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Wattanacheep, Bhattarabhorn, and Orachat Chitsobhuk. "Camera Pose Estimation using CNN." In ICCCV'20: 2020 the 3rd International Conference on Control and Computer Vision. ACM, 2020. http://dx.doi.org/10.1145/3425577.3425593.

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Ragab, M. E., and K. H. Wong. "Multiple nonoverlapping camera pose estimation." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5651178.

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Reports on the topic "Camera pose"

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Chaconas, Karen. Range from triangulation using an inverse perspective method to determine relative camera pose. National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4385.

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Christopher, Lauren, Stanley Chien, Yaobin Chen, Mei Qiu, William Reindl, and Liya Koshy. Anomaly Detection in Traffic Patterns Using the INDOT Camera System. Purdue University, 2025. https://doi.org/10.5703/1288284317778.

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The Transportation and Autonomous Systems Institute (TASI) of Purdue University Indianapolis (PUI) and the INDOT Traffic Management Center worked together to develop a system that monitors traffic conditions using INDOT CCTV video feeds. Computer vision-based traffic anomaly detection has been studied for the past 20 years, and a thorough state-of-the-art analysis was produced in a recent survey paper. Although AI has contributed to improving anomaly detection, several major challenges remain, such as tracking errors, illumination, weather, occlusion handling, camera pose, and perspective. In
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Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2015.

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In this research work, we develop a drowsy driver detection system through the application of visual and radar sensors combined with machine learning. The system concept was derived from the desire to achieve a high level of driver safety through the prevention of potentially fatal accidents involving drowsy drivers. According to the National Highway Traffic Safety Administration, drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, and a death toll of nearly 800 in 2017. The objective of this research work is to provide a working prototype of Advanced Driver Ass
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Aihara, Shimpei, Takara Saki, Tyusei Shibata, et al. Deep Learning Model for Integrated Estimation of Wheelchair and Human Poses Using Camera Images. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317545.

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Maharjan, Sudan Bikash, Pradeep Dangol, Tenzing Chogyal Sherpa, et al. Insights behind the unexpected flooding in the Budhi Gandaki River, Gorkha, Nepal. International Centre for Integrated Mountain Development (ICIMOD), 2024. https://doi.org/10.53055/icimod.1084.

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On 21 April 2024, a flood from the glacial lake Birendra Tal was triggered by a massive ice avalanche caused by calving from the Manaslu Glacier. Manaslu, the eighth-highest mountain in the world at 8,163 meters above sea level, is located in west-central Nepal. The displacement wave resulted in the sudden release of water from the lake outlet into the Budhi Gandaki River in Gorkha district. This event was not a typical glacial lake outburst flood (GLOF), as the overflows did not breach the moraine dam, and no significant impact on the dam was observed post-event. However, the threat remains.
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Keller, Mareike, Aaron J. Becker, Nikolaj Diller, et al. Monitoring ecological consequences of marine munition in the Baltic Sea 2024 - Cruise No. AL622, 14th – 21st October 2024, Kiel (Germany) – Kiel (Germany), „POST-Clear“. GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2024. https://doi.org/10.3289/cr_al622.

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ALKOR cruise AL622 took place as part of the project CONMAR (https://conmarmunition.eu/) which is part of the DAM mission sustainMare (https://www.sustainmare.de/). It was the continuation of the munition monitoring started within the BMBF‐funded project UDEMM (Environmental Monitoring for the Delaboration of Munition in the Sea; https://udemm.geomar.de/), the EMFF (European Maritime and Fisheries Fund) ‐funded projects BASTA (Boost Applied munition detection through Smart data detection in and AI workflows; https://www.basta‐munition.eu) and ExPloTect (Ex‐situ, near‐real‐time detection compou
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McKinnon, Mark, Craig Weinschenk, and Daniel Madrzykowski. Modeling Gas Burner Fires in Ranch and Colonial Style Structures. UL Firefighter Safety Research Institute, 2020. http://dx.doi.org/10.54206/102376/mwje4818.

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The test scenarios ranged from fires in the structures with no exterior ventilation to room fires with flow paths that connected the fires with remote intake and exhaust vents. In the ranch, two replicate fires were conducted for each room of origin and each ventilation condition. Rooms of fire origin included the living room, bedroom, and kitchen. In the colonial, the focus was on varying the flow paths to examine the change in fire behavior and the resulting damage. No replicates were conducted in the colonial. After each fire scene was documented, the interior finish and furnishings were re
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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, s
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Mahlberg, Justin A., Jairaj Desai, Haydn Malackowski, et al. Crowdsourcing/Winter Operations Dashboard Upgrade. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317652.

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INDOT has recently completed the deployment of Parsons telematics-based dash-cameras, automatic vehicle locator (AVL) positions, and spreader rate monitoring across their winter operations fleet. The motivation of this study was to develop dashboards that integrate connected vehicle data into the real-time monitoring and after-action review of winter storms. Each month approximately 13 billion connected vehicle records are ingested for the state of Indiana and almost 99 billion weather data records are ingested nationwide in 15-minute intervals. This study developed techniques to utilize this
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Rosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart, and Jane Wilbur. Precisamos de Falar Sobre Incontinência. The Sanitation Learning Hub, Institute of Development Studies, 2020. http://dx.doi.org/10.19088/slh.2020.007.

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Qualquer pessoa, de qualquer género, em qualquer idade, pode não conseguir conter a urina ou as fezes. O que faria se lhe acontecesse isso a si? Imagine que tinha acordado esta manhã e tinha feito chichi na cama. O que fazia? Lavava-se, vestia roupa lavada, mudava a roupa da cama e punha-a a lavar na máquina? Podia ir à loja e comprar pensos para incontinência. E, se soubesse que havia ajuda disponível para a incontinência urinária, talvez marcasse uma consulta médica na próxima semana e depois continuasse o seu dia, sem que a sua dignidade fosse afectada. Agora imagine que tinha acordado esta
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