Relevant bibliographies by topics / EuroNCAP

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'EuroNCAP'

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

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Journal articles on the topic "EuroNCAP"

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Hu, Yuanzhi, Xi Liu, Clive E. Neal-Sturgess, and Cheng Yue Jiang. "Lower leg injury simulation for EuroNCAP compliance." International Journal of Crashworthiness 16, no. 3 (June 2011): 275–84. http://dx.doi.org/10.1080/13588265.2011.559797.

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Lee, Youngjin, Jinseop Park, Siwoo Kim, Byungdo Kang, and Boojoong Yong. "An Experimental Study on New EURONCAP Upper Leg Test Assessment." Transactions of the Korean Society of Automotive Engineers 25, no. 1 (January 1, 2017): 51–59. http://dx.doi.org/10.7467/ksae.2017.25.1.051.

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Segui-Gomez, M., F. J. Lopez-Valdes, and R. Frampton. "Real-world performance of vehicle crash test: the case of EuroNCAP." Injury Prevention 16, no. 2 (April 1, 2010): 101–6. http://dx.doi.org/10.1136/ip.2009.023812.

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Park, Sang-ok, Wook-han Choi, Dea-Geun Son, Gyung-Jin Park, Jae Kon Shin, and Kyu Hyun Kim. "Upper Legform Impact Test of the EuroNCAP Protocol Using a Human Model." Transaction of The Korean Society of Automotive Engineers 26, no. 1 (January 1, 2018): 77–84. http://dx.doi.org/10.7467/ksae.2018.26.1.077.

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Woitsch, Gernot, and Wolfgang Sinz. "Influences of pre-crash braking induced dummy – Forward displacements on dummy behaviour during EuroNCAP frontal crashtest." Accident Analysis & Prevention 62 (January 2014): 268–75. http://dx.doi.org/10.1016/j.aap.2013.10.012.

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Edwards, M. J., H. Davies, A. Thompson, and A. Hobbs. "Development of test procedures and performance criteria to improve compatibility in car frontal collisions." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 217, no. 4 (April 1, 2003): 233–45. http://dx.doi.org/10.1243/09544070360613200.

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Compatibility is now generally recognized as the next big step forwards for car occupant secondary safety. The work performed to date has focused on the structural performance of vehicles, with the aim of providing a safe environment for the protection of the occupants in which intelligent restraint systems of the future could operate. This paper outlines the present understanding of compatibility for frontal impact collisions and reports the current state of development of three possible test procedures to address the fundamental issues, namely structural interaction, frontal stiffness matching and passenger compartment strength. Recent advances in the development of a deformable barrier face for the full-width test to assess structural interaction, using high-resolution load cell wall measurements, are described. Analysis of the load cell wall data collected in EuroNCAP tests, to address the frontal stiffness problem, is reported together with initial work to investigate the repeatability of the passenger compartment strength test. In addition, for some of these tests, possible performance criteria are suggested. This research is being carried out in co-operation with the European Enhanced Vehicle-safety Committee and the International Harmonization of Research Activities Working Groups and is funded by the Department for Transport.
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Schubert, Eugen, Martin Kunert, Frank Meinl, and Wolfgang Menzel. "Target modeling and deduction of automotive radar resolution requirements for pedestrian classification." International Journal of Microwave and Wireless Technologies 7, no. 3-4 (April 16, 2015): 433–41. http://dx.doi.org/10.1017/s1759078715000690.

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Pedestrian Collision Mitigation Systems (PCMS) are already in the market for some years. Due to continuously evolving EuroNCAP regulations their presence will increase. Visual sensors, already capable of pedestrian classification, provide functional benefits, because the reaction behavior can be optimized when the imminent collision object is recognized as pedestrian or cyclist. Nevertheless their performance will suffer under adverse environmental conditions like darkness, fog, rain or backlight. Even in such unfavorable situations the performance of radar sensors is not significantly deteriorated. Enabling classification capability to automotive radar will further improve road safety and will lower PCMS's overall costs. In this paper, a multi-reflection-point pedestrian target model based on motion analysis is presented. Together with an appropriate sensor model, pedestrian radar signal responses can be provided for a wide range of accident scenarios. Additionally velocity separation requirements that are needed for classification of pedestrians are derived from the simulations. Besides determination of classification features, the model discloses the limits of classical radar signal processing and further offers the opportunity to evaluate parametric spectral analysis. Based on simulated and measured baseband radar signals of pedestrians one of these techniques is deeper analyzed and its enhancement especially on the velocity separation capability is evaluated.
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Bae, Hyunjin, Gu Lee, Jaeseung Yang, Gwanjun Shin, Gyeungho Choi, and Yongseob Lim. "Estimation of the Closest In-Path Vehicle by Low-Channel LiDAR and Camera Sensor Fusion for Autonomous Vehicles." Sensors 21, no. 9 (April 30, 2021): 3124. http://dx.doi.org/10.3390/s21093124.

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In autonomous driving, using a variety of sensors to recognize preceding vehicles at middle and long distances is helpful for improving driving performance and developing various functions. However, if only LiDAR or cameras are used in the recognition stage, it is difficult to obtain the necessary data due to the limitations of each sensor. In this paper, we proposed a method of converting the vision-tracked data into bird’s eye-view (BEV) coordinates using an equation that projects LiDAR points onto an image and a method of fusion between LiDAR and vision-tracked data. Thus, the proposed method was effective through the results of detecting the closest in-path vehicle (CIPV) in various situations. In addition, even when experimenting with the EuroNCAP autonomous emergency braking (AEB) test protocol using the result of fusion, AEB performance was improved through improved cognitive performance than when using only LiDAR. In the experimental results, the performance of the proposed method was proven through actual vehicle tests in various scenarios. Consequently, it was convincing that the proposed sensor fusion method significantly improved the adaptive cruise control (ACC) function in autonomous maneuvering. We expect that this improvement in perception performance will contribute to improving the overall stability of ACC.
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Vaduvescu, O., M. Birlan, F. Colas, A. Sonka, and A. Nedelcu. "EURONEAR: First results." Planetary and Space Science 56, no. 14 (November 2008): 1913–18. http://dx.doi.org/10.1016/j.pss.2008.02.025.

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Mitchell, J. "The Application of Inertial Navigation Technology in Land Vehicles." Journal of Navigation 48, no. 1 (January 1995): 81–87. http://dx.doi.org/10.1017/s0373463300012510.

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Dissertations / Theses on the topic "EuroNCAP"

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Lenděl, Michal. "Měření zrychlení na struktuře vozu při bočních nárazových zkouškách." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232137.

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This master’s thesis is dedicated to Side Impact Crash Tests Measurement in company Skoda Auto a.s.. Thesis describes measuring chain devices of Crash Test Laboratory, and also transferring and assessment process of crash record. Main part of Thesis describes eligible acceleration transducer attachment to B-Pillar of a vehicle.
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Connan, Chloé. "Neurotoxinogénèse et Passage des neurotoxines botuliques à travers la barrière intestinale." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA114830/document.

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Les neurotoxines botuliques (BoNTs), produites par C. botulinum, sont responsables du botulisme humain et animal. Dans sa forme naturelle, le botulisme résulte le plus souvent d’une absorption des toxines botuliques à partir du tube digestif après ingestion d’aliments contaminés par la toxine et C. botulinum. L’intoxination peut être divisée en 4 grandes étapes : production de toxine par la bactérie, ingestion d’aliments contenant la toxine préformée, passage de la neurotoxine à travers la barrière intestinale et action protéolytique aux terminaisons nerveuses. La régulation de la production des toxines et le passage des neurotoxines botuliques à travers la barrière intestinale sont mal compris. BoNT s’associe à des protéines non toxiques (NAPs) pour former des complexes de différentes tailles. Les gènes codant les BoNTs et NAPs sont regroupés sur le locus botulique et leur expression est contrôlée positivement par le facteur sigma alternatif BoTR/A. La toxinogénèse chez C. botulinum est contrôlée par un réseau complexe de régulateurs incluant au moins 3 systèmes à deux composants (TCS), identifiés pas la méthode d’ARN antisens, qui régulent positivement la production de complexe botulique indépendamment de BoTR/A. D’autre part, l’entrée de BoNT/B dans la barrière intestinale a été suivie à l’aide du fragment HcB marqué en fluorescence dans une anse intestinale ligaturée de souris. Des analyses en microscopie à fluorescence, immunohistochimie et microscopie électronique ont permis de mettre en évidence que HcB transcytose à travers les entérocytes par une voie d’endocytose dépendante de la dynamine. HcB cible les terminaisons nerveuses acétylcholinergiques de la lamina propia des villosités et gagne les neurones acétylcholinergiques et sérotoninergiques de la sous-muqueuse et de la musculeuse en seulement 10 minutes. Une étude in vitro réalisée sur cellules intestinales (m-ICcl2) montre que l’entrée de HcB est dépendante de récepteurs gangliosidiques GD1b/GT1b présents à la surface des cellules mais pas de la synaptotagmine II qui est requise pour l’entrée de BoNT/B dans les cellules neuronales
Botulinum neurotoxins (BoNTs), produced by C. botulinum, are responsible for animal and human botulism. In its natural form, botulism is mostly acquired after absorption of BoNTs in the digestive tract after ingestion of food contaminated with C. botulinum and its toxins. The intoxination can be divided in 4 major steps: toxin production, ingestion of food contaminated with BoNTs, passage of BoNTs through the intestinal barrier, and proteolytic activity on nerve endings. Regulation of toxin production and passage of BoNTs through the intestinal barrier are poorly understood. BoNT associates with non toxic protein (NAPs) to form complexes of various sizes. The BoNTs and NAPs genes are clustered in the botulinum locus and are positively regulated by an alternative sigma factor BotR/A. Toxinogenesis in C. botulinum is regulated by a complex regulatory network containing at least 3 two components systems (TCS), identified by antisens RNA strategy, which regulate the production of botulinum complex independently of BotR/A. On the other hand, BoNT/B entry was monitored with fluorescent HcB fragment in ligatureted mouse intestinal loop. Fluorescent imaging analysis, immunohistochemistry and electron microscopy, have evidence that HcB is transcytosed through enterocytes cells by an endocytosis dynamin dependant. HcB targets acetylcholinergic nerves localized in lamina propria of villi then reaches serotoninergic and acetylcholinergic nerve endings in the submucosa and musculosa within 10 minutes. In vitro experiments performed on intestinal cell line (m-ICcl2) shows that the endocytosis of HcB is dependent on the GD1b/GT1b gangliosidic receptors on the cell surface but not on the synaptotagmine II protein which is recquiered HcB entry in neuronal cells
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Books on the topic "EuroNCAP"

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Higgins, Wendy. The Great Pursuit (Eurona Duology Book 2). HarperTeen, 2017.

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Conference papers on the topic "EuroNCAP"

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Golinski, Waldemar Z. "EuroNCAP Pedestrian Protection Vehicle Development Using Simulation." In 21st SAE Brasil International Congress and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2012. http://dx.doi.org/10.4271/2012-36-0175.

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Xing, Yanyun, Xueliang Bian, Xuelong Liu, Senren Huang, and Bo Yu. "Modeling and Optimization of SUV Based on EuroNCAP Pedestrian Head Protection." In 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ifmca-16.2017.100.

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Kinoshita, Akira, Naoki Shigeno, Tatsuya Fukushima, and Hermann Steffan. "Development of Pole Side Impact Sled Test Method using Multiple Actuators for EuroNCAP." In SAE 2012 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2012. http://dx.doi.org/10.4271/2012-01-0095.

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Jayasuriya, Mangala M. "2-Door Vehicle Body Local Force Evaluation with the IIHS, EuroNCAP, and LINCAP Side Impact Barriers." In SAE 2004 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-0333.

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Cheng, Ching-Shan, and J. T. Wang. "An Analytical Study of Pedestrian Headform Impacts Using a Dual Asymmetrical Triangle Function." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39706.

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Child headform and adult headform impacting the bonnet (hood) of a passenger vehicle are two of the four types of tests conducted by EuroNCAP to rate the pedestrian protection performance of new vehicles. The present work focuses on the dual-peak acceleration pulses of the headform often observed in the tests. A dual asymmetrical triangle function is chosen to model the pulse. Using the analytical function, the kinematical equations of the headform, and the explicit equations for calculating the maximum displacement, rebound time and Head Injury Criterion (HIC) value are derived. A parametric study is conducted to investigate how the wave shape affects the HIC value. Several important characteristics of the dual-peak pulses, including the headform rebound time and the maximum headform displacement, are identified. A spreadsheet tool has also been developed using the dual asymmetrical triangle function to relate the headform kinematics to the mechanical property of the bonnet.
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Berger, Christian, Delf Block, Christian Hons, Stefan Kuhnel, Andre Leschke, Dimitri Plotnikov, and Bernhard Rumpe. "Large-Scale Evaluation of an Active Safety Algorithm with EuroNCAP and US NCAP Scenarios in a Virtual Test Environment -- An Industrial Case Study." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.368.

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"Author index." In 2016 European Navigation Conference (ENC). IEEE, 2016. http://dx.doi.org/10.1109/euronav.2016.7530535.

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"Copyright page." In 2016 European Navigation Conference (ENC). IEEE, 2016. http://dx.doi.org/10.1109/euronav.2016.7530536.

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"Table of contents." In 2016 European Navigation Conference (ENC). IEEE, 2016. http://dx.doi.org/10.1109/euronav.2016.7530537.

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Aps, Robert, Mihhail Fetissov, Floris Goerlandt, Madli Kopti, and Pentti Kujala. "STAMP-Mar based safety management of maritime navigation in the Gulf of Finland (Baltic Sea)." In 2016 European Navigation Conference (ENC). IEEE, 2016. http://dx.doi.org/10.1109/euronav.2016.7530538.

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