Relevant bibliographies by topics / Motor learning

Contents

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

Academic literature on the topic 'Motor learning'

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

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Journal articles on the topic "Motor learning"

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Yun, Jung-Eun. "Understanding motor learning processing and motor strategies on motor skill learning." Korean Journal of Sports Science 31, no. 5 (2022): 389–402. http://dx.doi.org/10.35159/kjss.2022.10.31.5.389.

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NAKAMURA, RYUICHI. "Motor Learning." Journal of exercise physiology 9, no. 3 (1994): 149–56. http://dx.doi.org/10.1589/rika1986.9.149.

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Plisk, Steven Scott. "Motor Learning." Strength and Conditioning Journal 24, no. 3 (2002): 77. http://dx.doi.org/10.1519/00126548-200206000-00020.

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Halsband, Ulrike, and Hans-Joachim Freund. "Motor learning." Current Opinion in Neurobiology 3, no. 6 (1993): 940–49. http://dx.doi.org/10.1016/0959-4388(93)90166-v.

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Wolpert, Daniel M., and J. Randall Flanagan. "Motor learning." Current Biology 20, no. 11 (2010): R467—R472. http://dx.doi.org/10.1016/j.cub.2010.04.035.

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Krakauer, John W., Alkis M. Hadjiosif, Jing Xu, Aaron L. Wong, and Adrian M. Haith. "Motor Learning." Comprehensive Physiology 9, no. 2 (2019): 613–63. https://doi.org/10.1002/j.2040-4603.2019.tb00069.x.

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ABSTRACTMotor learning encompasses a wide range of phenomena, ranging from relatively low‐level mechanisms for maintaining calibration of our movements, to making high‐level cognitive decisions about how to act in a novel situation. We survey the major existing approaches to characterizing motor learning at both the behavioral and neural level. In particular, we critically review two long‐standing paradigms used in motor learning research—adaptation and sequence learning. We discuss the extent to which these paradigms can be considered models of motor skill acquisition, defined as the incremen
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Turner, Mark. "Motor Learning Research." Update: Applications of Research in Music Education 16, no. 2 (1998): 12–16. http://dx.doi.org/10.1177/875512339801600204.

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Schenck, Wolfram. "Kinematic motor learning." Connection Science 23, no. 4 (2011): 239–83. http://dx.doi.org/10.1080/09540091.2011.625077.

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Miall, Chris. "Modular motor learning." Trends in Cognitive Sciences 6, no. 1 (2002): 1–3. http://dx.doi.org/10.1016/s1364-6613(00)01822-2.

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Tse, Diane, and Sandi Spaulding. "Review of Motor Control and Motor Learning." Physical & Occupational Therapy In Geriatrics 15, no. 3 (1998): 19–38. http://dx.doi.org/10.1300/j148v15n03_02.

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Dissertations / Theses on the topic "Motor learning"

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Shalabi, Kholood Matouq. "Motor learning and inter-manual transfer of motor learning after a stroke." Thesis, University of Newcastle upon Tyne, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.768491.

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Aims: 1) To measure automatically in stroke survivors and neurologically intact adults, learning, inter-manual transfer (ImT) and retention of learning (Ret.) of a task requiring two sequential actions embedded with-in a video game. 2) To assess the effect of age and side of stroke on learning, ImT, and Ret. of a motor task consisting of two sequentially linked actions. Participants: All participants were right hand dominant and included: A) 112 neurologically intact adults comprising: 72 younger adults (41 females), mean±SD age, 27.06±4.8 years, range 20-36 years and 40 older adults (26 femal
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侯江濤 and Kong-to William Hau. "Artificial neural networks, motor programs and motor learning." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31240227.

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Hau, Kong-to William. "Artificial neural networks, motor programs and motor learning /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2177920X.

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Randall, William Emerson. "One-trial motor learning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0025/MQ51453.pdf.

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Yang, Jeng-Feng. "Motor learning and adaptation the role of motor abundance /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 216 p, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3247585.

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Needle, Jamie Luke. "Motor performance and motor learning in adults with dyslexia." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/14893/.

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Assessment of motor performance and motor learning in dyslexia is crucial because of its ability to shed light on the underlying biology of the disorder and to discriminate between theoretical approaches. It remains a controversial area due to existing discrepant research findings and interpretations. Three studies are described in this thesis. The first used three sets of experiments to test balance and postural control in single and dual-task conditions. The second study examined the production and timing of responses in a classical eyeblink conditioning paradigm. The final study investigate
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Kaipa, Ramesh. "Evaluation of principles of motor learning in speech and non-speech-motor learning tasks." Thesis, University of Canterbury. Communication Disorders, 2013. http://hdl.handle.net/10092/10349.

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Principles of motor learning (PMLs) refer to a set of concepts which are considered to facilitate the process of motor learning. PMLs can be broadly grouped into principles based on (1) the structure of practice/treatment, and (2) the nature of feedback provided during practice/treatment. Application of PMLs is most evident in studies involving non-speech- motor tasks (e.g., limb movement). However, only a few studies have investigated the application of PMLs in speech-motor tasks. Previous studies relating to speech-motor function have highlighted two primary limitations: (1) Failure to consi
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Brashers-Krug, Thomas M. (Thomas More). "Consolidation in human motor learning." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11884.

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Jackson, Carl Patrick Thomas. "Motor learning and predictive control." Thesis, University of Nottingham, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519400.

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Howard, III James Thomas. "Physical guidance in motor learning." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15899/1/James_Howard_Thesis.pdf.

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Previous studies of physical guidance (PG - physically constraining error during practice of a motor task) have found it to be ineffective in enhancing motor learning. However, most studies have used a highly constraining form of physical guidance that may have encouraged undue dependency. In addition, previous research has not fully considered the interaction between visual feedback and PG, and many of the studies have failed to use standard delayed retention tests with knowledge of results unavailable (no-KR). The current experiment examine the effects of varying levels of constraint in PG
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Books on the topic "Motor learning"

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Rothstein, Anne L. Motor learning. American Alliance for Health, Physical Education, Recreation, and Dance, 1987.

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Rothstein, Anne L. Motor learning. American Alliance for Health, Physical Education, Recreation, and Dance, 1987.

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Kober, Jens, and Jan Peters. Learning Motor Skills. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03194-1.

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A, Crutchfield Carolyn, and Barnes Marylou R, eds. Motor control and motor learning in rehabilitation. Stokesville Pub. Co., 1993.

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Latash, Mark L., and Francis Lestienne, eds. Motor Control and Learning. Springer US, 2006. http://dx.doi.org/10.1007/0-387-28287-4.

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Shea, Charles H. Motor learning and control. Allyn and Bacon, 1993.

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A, Wrisberg Craig, ed. Motor learning and performance. 2nd ed. Human Kinetics, 2000.

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A, Wrisberg Craig, ed. Motor learning and performance. 3rd ed. Human Kinetics, 2004.

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1948-, Reid Greg, and Collier Douglas Holden 1953-, eds. Motor learning and development. Human Kinetics, 2011.

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Wayne, Shebilske, and Worchel Stephen, eds. Motor learning and control. Prentice Hall, 1993.

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Book chapters on the topic "Motor learning"

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Barreiros, João, and Pedro Passos. "Guiding learning." In Motor Behavior. Routledge, 2025. https://doi.org/10.4324/9781003542391-17.

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Wulf, Gabriele. "Motor Learning." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_869.

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Morgan, Michael M., MacDonald J. Christie, Thomas Steckler, et al. "Motor Learning." In Encyclopedia of Psychopharmacology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_3411.

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Goertzel, Ben. "Motor Learning." In The Structure of Intelligence. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-4336-6_11.

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Carrière, Beate. "Motor Learning." In The Swiss Ball. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58864-8_3.

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Jingcheng, Li. "Motor Learning." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_981-1.

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Maring, Joyce R., and Susan Joy Leach. "Motor Learning." In Teaching and Learning in Physical Therapy, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003526704-10.

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Barreiros, João, and Pedro Passos. "Memory and learning." In Motor Behavior. Routledge, 2025. https://doi.org/10.4324/9781003542391-4.

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Annett, John. "Motor Learning: A Review." In Motor Behavior. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-69749-4_6.

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Barreiros, João, and Pedro Passos. "What is motor learning?" In Motor Behavior. Routledge, 2025. https://doi.org/10.4324/9781003542391-3.

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Conference papers on the topic "Motor learning"

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Xiang, Tian-Yu, Xiao-Hu Zhou, Xiao-Liang Xie, et al. "Cross-Modal Motor Representation Learning." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650264.

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Langlois, Quentin, and Sébastien Jodogne. "Embeddings for Motor Imagery Classification." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2024. http://dx.doi.org/10.1109/mlsp58920.2024.10734730.

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Cui, Yibo, Yu Liao, Yuhang Hu, Kun Cui, and Ximeng Wang. "Motor Fault Diagnosis Based on BiLSTM and GNN." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065097.

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Nishimura, Kotaro, Yoshikatsu Hayashi, Shiro Yano, and Toshiyuki Kondo. "Motor Learning through Cooperative Motor Experience." In 2018 International Symposium on Micro-NanoMechatronics and Human Science (MHS). IEEE, 2018. http://dx.doi.org/10.1109/mhs.2018.8886965.

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Daniel, Christian, Gerhard Neumann, Oliver Kroemer, and Jan Peters. "Learning sequential motor tasks." In 2013 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2013. http://dx.doi.org/10.1109/icra.2013.6630937.

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Bailly, David, Pierre Andry, and Philippe Gaussier. "Learning anticipatory motor control." In 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL). IEEE, 2012. http://dx.doi.org/10.1109/devlrn.2012.6400850.

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Parmar, Pritesh N., and James L. Patton. "Models of Motor Learning Generalization." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513182.

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Drix, Damien, and Verena V. Hafner. "Learning proprioceptive and motor features." In 2014 Joint IEEE International Conferences on Development and Learning and Epigenetic Robotics (ICDL-Epirob). IEEE, 2014. http://dx.doi.org/10.1109/devlrn.2014.6983010.

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Kober, Jens, and Jan Peters. "Learning motor primitives for robotics." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152577.

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Kirina, Elena, and Iurii Stroganov. "LEARNING OF SUPPORTING-MOTOR SYSTEM." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-141.

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Desktop application for teaching the structure of the musculoskeletal system. Contains information about all bones and muscles and how to connect them. The application should run on Windows, Linux and MasOS. Visual representation in the form of a 3D model based on Unity. Realistic three-dimensional human model can be rotated and viewed from any angle. Select items by mouse click for detailed information about them. The ability to add your notes and signatures to parts of the system, so you can keep your own notes and make only the necessary information. All information is stored in a database.
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Reports on the topic "Motor learning"

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Hudson, Kesha N., and Michael T. Willoughby. The Multiple Benefits of Motor Competence Skills in Early Childhood. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0027.2108.

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Recent findings from the Kids Activity and Learning Study complement North Carolina’s multidimensional approach to promoting school readiness by emphasizing the integrated nature of motor and cognitive development in early childhood. Children whose motor skills improved the most over the course of an academic year also tended to demonstrate the biggest gains in executive function and numeracy skills. Children who participated in adaptive, group-based motor skill activities demonstrated gains in motor competence, executive function, and numeracy skills. Incorporating motor activities into estab
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Nickerson, Jeffrey, Kalle Lyytinen, and John L. King. Automated Vehicles: A Human/Machine Co-learning Perspective. SAE International, 2022. http://dx.doi.org/10.4271/epr2022009.

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Automated vehicles (AVs)—and the automated driving systems (ADSs) that enable them—are increasing in prevalence but remain far from ubiquitous. Progress has occurred in spurts, followed by lulls, while the motor transportation system learns to design, deploy, and regulate AVs. Automated Vehicles: A Human/Machine Co-learning Experience focuses on how engineers, regulators, and road users are all learning about a technology that has the potential to transform society. Those engaged in the design of ADSs and AVs may find it useful to consider that the spurts and lulls and stakeholder tussles are
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Jelsma, Dorothee, Reza Abdollahipour, Farhad Ghadiri, et al. Evidence-based practice interventions for children and young people with Developmental Coordination Disorder - A scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0028.

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Review question / Objective: The aim of this review was to identify, qualify, evaluate and synthesise interventions used for children and young people with Developmental Coordination Disorder. The PCC was used to develop the review question: Population – children and young people with disorders of motor coordination aged to 25 years, not due to neurological disease or disorder eg. Cerebral Palsy. Concept - any method aimed to improve/treat/intervene in areas of motor learning, motor control, motor coordination or motor skill. Context - information on methods of delivery of interventions to con
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Thompson, Richard F. A Biological Neural Network Analysis of Learning and Memory: The Cerebellum and Sensory Motor Conditioning. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada304568.

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Arhin, Stephen, Babin Manandhar, and Adam Gatiba. Influence of Pavement Conditions on Commercial Motor Vehicle Crashes. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2343.

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Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected
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Jie, Li-Juan, Melanie Kleynen, Guus Rothuizen, Elmar Kal, Andreas Rothgangel, and Susy Braun. Overview of effects of motor learning strategies in neurological and geriatric populations: a systematic mapping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.3.0056.

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ji, yuqin, hao tian, qiang ye, zhuoyan ye, and zeyu zheng. Effectiveness of exercise intervention on improving fundamental motor skills in children with autism spectrum disorder: A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0013.

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Review question / Objective: This systematic review and meta-analysis aimed to synthesize available randomized controlled trial studies concerning the effects of exercise interventions on fundamental motor skills in children with autism spectrum disorder. Condition being studied: Autism Spectrum Disorder (ASD) is a complicated and highly prevalent neuro-developmental disorder characterized by deficits in social communication, restricted interests, and repetitive behaviors. The CDC reported that the prevalence of ASD was estimated to be 1 in 59 in the United States by 2020. Along with typical s
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Kulhandjian, Hovannes. AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2127.

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In 2019, the United States experienced more than 6,500 pedestrian fatalities involving motor vehicles which resulted in a 67% rise in nighttime pedestrian fatalities and only a 10% rise in daytime pedestrian fatalities. In an effort to reduce fatalities, this research developed a pedestrian detection and alert system through the application of a visual camera, infrared camera, and radar sensors combined with machine learning. The research team designed the system concept to achieve a high level of accuracy in pedestrian detection and avoidance during both the day and at night to avoid potentia
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Slone, Scott, Marissa Torres, Alexander Stott, Ethan Thomas, and Robert Ibey. CRREL Environmental Wind Tunnel upgrades and the Snowstorm Library. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48077.

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Environmental wind tunnels are ideal for basic research and applied physical modeling of atmospheric conditions and turbulent wind flow. The Cold Regions Research and Engineering Laboratory's own Environmental Wind Tunnel (EWT)—an open-circuit suction wind tunnel—has been historically used for snowdrift modeling. Recently the EWT has gone through several upgrades, namely the three-axis chassis motors, variable frequency drive, and probe and data acquisition systems. The upgraded wind tunnel was used to simulate various snowstorm conditions to produce a library of images for training machine le
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