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Journal articles on the topic 'EuroNCAP'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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8

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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9

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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10

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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11

Vaduvescu, O., A. Aznar Macias, V. Tudor, M. Predatu, A. Galád, Š. Gajdoš, J. Világi, et al. "The EURONEAR Lightcurve Survey of Near Earth Asteroids." Earth, Moon, and Planets 120, no. 2 (July 20, 2017): 41–100. http://dx.doi.org/10.1007/s11038-017-9506-9.

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12

Vaduvescu, O., L. Curelaru, M. Birlan, G. Bocsa, L. Serbanescu, A. Tudorica, and J. Berthier. "EURONEAR: Data mining of asteroids and Near Earth Asteroids." Astronomische Nachrichten 330, no. 7 (August 2009): 698–707. http://dx.doi.org/10.1002/asna.200811198.

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13

Vaduvescu, O., L. Hudin, V. Tudor, F. Char, T. Mocnik, T. Kwiatkowski, J. de Leon, et al. "First EURONEAR NEA discoveries from La Palma using the INT★." Monthly Notices of the Royal Astronomical Society 449, no. 2 (March 24, 2015): 1614–24. http://dx.doi.org/10.1093/mnras/stv266.

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14

Birlan, M., O. Vaduvescu, A. Tudorica, A. Sonka, A. Nedelcu, A. Galad, F. Colas, et al. "More than 160 near Earth asteroids observed in the EURONEAR network." Astronomy and Astrophysics 511 (February 2010): A40. http://dx.doi.org/10.1051/0004-6361/200912865.

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15

Bouche, P., and N. Le Forestier. "Afecciones De La Motón Eurona: Esclerosis Lateral Amiotrofica." EMC - Tratado de Medicina 6, no. 1 (2002): 1–3. http://dx.doi.org/10.1016/s1636-5410(02)70179-7.

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16

Vaduvescu, O., L. Curelaru, and M. Popescu. "Mega-Archive and the EURONEAR tools for data mining world astronomical images." Astronomy and Computing 30 (January 2020): 100356. http://dx.doi.org/10.1016/j.ascom.2019.100356.

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17

Vaduvescu, O., D. Gorgan, D. Copandean, V. Bacu, T. Stefanut, A. Sabou, C. Nandra, et al. "Ready for EURONEAR NEA surveys using the NEARBY moving source detection platform." New Astronomy 88 (October 2021): 101600. http://dx.doi.org/10.1016/j.newast.2021.101600.

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18

Scarano, Antonio, Francesco Inchingolo, Biagio Rapone, Felice Festa, Sergio Rexhep Tari, and Felice Lorusso. "Protective Face Masks: Effect on the Oxygenation and Heart Rate Status of Oral Surgeons during Surgery." International Journal of Environmental Research and Public Health 18, no. 5 (February 28, 2021): 2363. http://dx.doi.org/10.3390/ijerph18052363.

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Background: Safety in medical work requires eye protection, such as glasses, and protective facial masks (PFM) during clinical practice to prevent viral respiratory infections. The use of facial masks and other full personal protective equipment increases air flow resistance, facial skin temperature and physical discomfort. The aim of the present study was to measure surgeons’ oxygenation status and discomfort before and after their daily routine activities of oral interventions. Methods: 10 male voluntary dentists, specializing in oral surgery, and 10 male voluntary doctors in dentistry, participating in master’s courses in oral surgery in the Department of Oral Surgery of the University of Chieti, with mean age 29 ± 6 (27–35), were enrolled. This study was undertaken to investigate the effects of wearing a PFM on oxygenation status while the oral surgeons were actively working. Disposable sterile one-way surgical paper masks (Surgical Face Mask, Euronda, Italy) and FFP2 (Surgical Face Mask, Euronda, Italy) were used and the mask position covering the nose did not vary during the procedures. The FFP2 was covered by a surgical mask during surgical treatment. A pulse oximeter was used to measure the blood oximetry saturation during the study. Results: In all 20 surgeons wearing FFP2 covered by surgical masks, a reduction in arterial O2 saturation from around 97.5% before surgery to 94% after surgery was recorded with increase of heart rates. A shortness of breath and light-headedness/headaches were also noted. Conclusions: In conclusion, wearing an FFP2 covered by a surgical mask induces a reduction in circulating O2 concentrations without clinical relevance, while an increase of heart frequency and a sensation of shortness of breath, light-headedness/headaches were recorded.

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19

Sawada, Hideyuki, Takeshi Kihara, Shun Shimohama, Jun Kimura, Takao Kawamura, and Akinori Akaike. "1336 Chronic d2 stimulation protects mesencephalic neurons from glutamate-induced euronal death." Neuroscience Research 25 (January 1996): S152. http://dx.doi.org/10.1016/0168-0102(96)88985-1.

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20

Vaduvescu, O., M. Birlan, A. Tudorica, M. Popescu, F. Colas, D. J. Asher, A. Sonka, et al. "739 observed NEAs and new 2–4 m survey statistics within the EURONEAR network." Planetary and Space Science 85 (September 2013): 299–311. http://dx.doi.org/10.1016/j.pss.2013.06.026.

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21

Vaduvescu, O., L. Curelaru, M. Popescu, B. Danila, and D. Ciobanu. "Dozens of virtual impactor orbits eliminated by the EURONEAR VIMP DECam data mining project." Astronomy & Astrophysics 642 (October 2020): A35. http://dx.doi.org/10.1051/0004-6361/202038666.

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Context. Massive data mining of image archives observed with large etendue facilities represents a great opportunity for orbital amelioration of poorly known virtual impactor asteroids (VIs). There are more than 1000 VIs known today; most of them have very short observed arcs and many are considered lost as they became extremely faint soon after discovery. Aims. We aim to improve the orbits of VIs and eliminate their status by data mining the existing image archives. Methods. Within the European Near Earth Asteroids Research (EURONEAR) project, we developed the Virtual Impactor search using Mega-Precovery (VIMP) software, which is endowed with a very effective (fast and accurate) algorithm to predict apparitions of candidate pairs for subsequent guided human search. Considering a simple geometric model, the VIMP algorithm searches for any possible intersection in space and time between the positional uncertainty of any VI and the bounding sky projection of any image archive. Results. We applied VIMP to mine the data of 451,914 Blanco/DECam images observed between 12 September 2012 and 11 July 2019, identifying 212 VIs that possibly fall into 1286 candidate images leading to either precovery or recovery events. Following a careful search of candidate images, we recovered and measured 54 VIs in 183 DECam images. About 4,000 impact orbits were eliminated from both lists, 27 VIs were removed from at least one list, while 14 objects were eliminated from both lists. The faintest detections were around V ∼ 24.0, while the majority fall between 21 < V < 23. The minimal orbital intersection distances remains constant for 67% detections, increasing for eight objects and decreasing for ten objects. Most eliminated VIs (70%) had short initial arcs of less than five days. Some unexpected photometric discovery has emerged regarding the rotation period of 2018 DB, based on the close inspection of longer trailed VIs and the measurement of their fluxes along the trails. Conclusions. Large etendue imaging archives represent great assets to search for serendipitous encounters of faint asteroids and VIs.

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22

Vaduvescu, O., L. Hudin, T. Mocnik, F. Char, A. Sonka, V. Tudor, I. Ordonez-Etxeberria, et al. "280 one-opposition near-Earth asteroids recovered by the EURONEAR with the Isaac Newton Telescope." Astronomy & Astrophysics 609 (January 2018): A105. http://dx.doi.org/10.1051/0004-6361/201731844.

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Context. One-opposition near-Earth asteroids (NEAs) are growing in number, and they must be recovered to prevent loss and mismatch risk, and to improve their orbits, as they are likely to be too faint for detection in shallow surveys at future apparitions. Aims. We aimed to recover more than half of the one-opposition NEAs recommended for observations by the Minor Planet Center (MPC) using the Isaac Newton Telescope (INT) in soft-override mode and some fractions of available D-nights. During about 130 h in total between 2013 and 2016, we targeted 368 NEAs, among which 56 potentially hazardous asteroids (PHAs), observing 437 INT Wide Field Camera (WFC) fields and recovering 280 NEAs (76% of all targets). Methods. Engaging a core team of about ten students and amateurs, we used the THELI, Astrometrica, and the Find_Orb software to identify all moving objects using the blink and track-and-stack method for the faintest targets and plotting the positional uncertainty ellipse from NEODyS. Results. Most targets and recovered objects had apparent magnitudes centered around V ~ 22.8 mag, with some becoming as faint as V ~ 24 mag. One hundred and three objects (representing 28% of all targets) were recovered by EURONEAR alone by Aug. 2017. Orbital arcs were prolonged typically from a few weeks to a few years; our oldest recoveries reach 16 years. The O−C residuals for our 1854 NEA astrometric positions show that most measurements cluster closely around the origin. In addition to the recovered NEAs, 22 000 positions of about 3500 known minor planets and another 10 000 observations of about 1500 unknown objects (mostly main-belt objects) were promptly reported to the MPC by our team. Four new NEAs were discovered serendipitously in the analyzed fields and were promptly secured with the INT and other telescopes, while two more NEAs were lost due to extremely fast motion and lack of rapid follow-up time. They increase the counting to nine NEAs discovered by the EURONEAR in 2014 and 2015. Conclusions. Targeted projects to recover one-opposition NEAs are efficient in override access, especially using at least two-meter class and preferably larger field telescopes located in good sites, which appear even more efficient than the existing surveys.

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23

Vaduvescu, O., M. Birlan, A. Tudorica, A. Sonka, F. N. Pozo, A. D. Barr, D. J. Asher, et al. "EURONEAR—Recovery, follow-up and discovery of NEAs and MBAs using large field 1–2m telescopes." Planetary and Space Science 59, no. 13 (October 2011): 1632–46. http://dx.doi.org/10.1016/j.pss.2011.07.014.

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24

Yi, M., G. Yan, Y. Xuan, Z. Dai, S. Li, and R. Wu. "Study on euronal metabolic characterization in peritumoral area of C6 rat glioma using 1h MRS at 7T." Journal of the Neurological Sciences 333 (October 2013): e623. http://dx.doi.org/10.1016/j.jns.2013.07.2168.

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25

LIEBMANN, JAMES E., and ALVIN M. MATSUMOTO. "Acute Selective Withdrawal of Testosterone Negative Feedback Increases Luteinizing Hormone Secretion without Altering Hypothalamic Catecholaminergic euronal Activity*." Endocrinology 126, no. 1 (January 1990): 555–64. http://dx.doi.org/10.1210/endo-126-1-555.

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26

Murillo, Blanca, and Mónica Mendes Sousa. "N euronal I ntrinsic R egenerative C apacity: T he I mpact of M icrotubule O rganization and A xonal T ransport." Developmental Neurobiology 78, no. 10 (May 8, 2018): 952–59. http://dx.doi.org/10.1002/dneu.22602.

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27

"Understanding the Perception of Road Segmentation and Traffic Light Detection using Machine Learning Techniques." International Journal of Recent Technology and Engineering 9, no. 1 (May 30, 2020): 2698–704. http://dx.doi.org/10.35940/ijrte.a3103.059120.

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Advanced Driving Assistance System (ADAS) has seen tremendous growth over the past 10 years. In recent times, luxury cars, as well as some newly emerging cars, come with ADAS application. From 2014, Because of the entry of the European new car assessment programme (EuroNCAP) [1] in the AEBS test, it helped gain momentum the introduction of ADAS in Europe [1]. Most OEMs and research institutes have already demonstrated on the self-driving cars [1]. So here, a focus is made on road segmentation where LiDAR sensor takes in the image of the surrounding and where the vehicle should know its path, it is fulfilled by processing a convolutional neural network called semantic segmentation on an FPGA board in 16.9ms [3]. Further, a traffic light detection model is also developed by using NVidia Jetson and 2 FPGA boards, collectively named as 'Driving brain' which acts as a super computer for such networks. The results are obtained at higher accuracy by processing the obtained traffic light images into the CNN classifier [5]. Overall, this paper gives a brief idea of the technical trend of autonomous driving which throws light on algorithms and for advanced driver-assistance systems used for road segmentation and traffic light detection

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28

Fuchs, S., and P. Koenig. "Prediction of Occupant Injuries for Improved eCall Efficiency." International Journal of Vehicle Structures and Systems 13, no. 3 (August 4, 2021). http://dx.doi.org/10.4273/ijvss.13.3.10.

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Especially in emerging markets, no emergency infrastructure is established. In case of an accident, passing road users need to call for help or the ambulance. An automated eCall to friends, family or in future directly to the rescue control with transmission of GPS position, probable injury pattern and injury severity could significantly improve the rescue chain and would save lives in large scale. Initial approaches to the prediction of an injury pattern were investigated in this paper. A simulation model of a reference vehicle and with a hybrid III 50 percentile dummy was built by using the program MADYMO. A large amount of real accident data was processed using an algorithm created in MATLAB. This made it possible to adapt the acceleration data with identical rules and to determine the different restraint system ignition times. The algorithm allows the data to be used in the simulation model. Furthermore, the corresponding accident descriptions were analysed and translated into protection criteria level by means of literature. For the subsequent evaluation, the assessment protocol (Version 8.0.3) of the European New Car Assessment Programme (EuroNCAP) was used. To validate the model, an ordinal rating system was created to compare the ratings of the simulation and the injury descriptions. The results indicate a good prediction of the injury patterns with an agreement of 39.56 percent. Especially considering that a large number of influencing parameters are unknown.

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29

"Euronav chooses Hempel's fouling release silicone for two ULCCs." Pigment & Resin Technology 36, no. 3 (May 29, 2007). http://dx.doi.org/10.1108/prt.2007.12936cab.020.

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30

Vaduvescu, O., R. Cornea, A. Aznar Macias, A. Sonka, M. Predatu, and M. Serra-Ricart. "The EURONEAR Lightcurve Survey of Near Earth Asteroids—Teide Observatory, Tenerife, 2015." Earth, Moon, and Planets 125, no. 2 (April 26, 2021). http://dx.doi.org/10.1007/s11038-021-09540-4.

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31

Κοκοσαλάκης, Νίκος. "Το πρόγραμμα EURONAT. Αναπαραστάσεις της Ευρώπης και του έθνους στις παρούσες και υπό ένταξη χώρες: ΜΜΕ, πολιτικά κόμματα και κοινωνία των πολιτών." Social Cohesion and Development 1, no. 1 (April 13, 2016). http://dx.doi.org/10.12681/scad.9010.

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