Literatura científica selecionada sobre o tema "Traffic accidents in motion pictures"
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Artigos de revistas sobre o assunto "Traffic accidents in motion pictures"
Dwiatmoko, Hermanto, Muhammad Isradi, Joewono Prasetijo, Munzilah MD Rohani, Syafiadi Rizki Abdila e Andri Irfan Rifai. "Accident Prevention and Traffic Safety for Sekolah Alam Robbani Bekasi - (KidSafe)". Communautaire: Journal of Community Service 2, n.º 1 (25 de junho de 2023): 56–63. http://dx.doi.org/10.61987/communautaire.v2i1.162.
Texto completo da fontePelenyte-Vyšniauskiene, Lina, e Algirdas Jurkauskas. "RESEARCH INTO OCCUPANT'S MOTION IN VEHICLES DURING CRASHES". TRANSPORT 19, n.º 4 (31 de agosto de 2004): 184–90. http://dx.doi.org/10.3846/16484142.2004.9637974.
Texto completo da fontePrentkovskis, Olegas, Edgar Sokolovskij e Vilius Bartulis. "INVESTIGATING TRAFFIC ACCIDENTS: A COLLISION OF TWO MOTOR VEHICLES". TRANSPORT 25, n.º 2 (30 de junho de 2010): 105–15. http://dx.doi.org/10.3846/transport.2010.14.
Texto completo da fonteHitendra Wamborikar, Priyank Bhatt, Swapnil Date, Naresh Dhaniwala e Khizar Khan. "The multi-modality approach in a case of fracture of the humerus with an ipsilateral floating knee: A case report". International Journal of Research in Pharmaceutical Sciences 11, SPL4 (21 de dezembro de 2020): 1088–92. http://dx.doi.org/10.26452/ijrps.v11ispl4.4248.
Texto completo da fonteKurczyński, Dariusz, e Andrzej Zuska. "Analysis of the Impact of Invisible Road Icing on Selected Parameters of a Minibus Vehicle". Sensors 22, n.º 24 (12 de dezembro de 2022): 9726. http://dx.doi.org/10.3390/s22249726.
Texto completo da fonteWang, Feng, e Zhaofeng Zhang. "Route Control and Behavior Decision of Intelligent Driverless Truck Based on Artificial Intelligence Technology". Wireless Communications and Mobile Computing 2022 (7 de setembro de 2022): 1–10. http://dx.doi.org/10.1155/2022/7025081.
Texto completo da fonteBresch, M., J. Shi e R. Kokozinski. "Employing beam-forming for estimating the direction of arrival in a multi-path propagation environment". Advances in Radio Science 3 (12 de maio de 2005): 151–55. http://dx.doi.org/10.5194/ars-3-151-2005.
Texto completo da fonteKrasavin, P. A., e V. S. Nadezhdin. "The influence of the set angle of steered wheels on safety of vehicle in curvilinear motion". Izvestiya MGTU MAMI 8, n.º 1-1 (10 de janeiro de 2014): 23–25. http://dx.doi.org/10.17816/2074-0530-67674.
Texto completo da fonteMicu, Elena Alexandra, Eugene John Obrien, Abdollah Malekjafarian e Michael Quilligan. "Estimation of Extreme Load Effects on Long-Span Bridges Using Traffic Image Data". Baltic Journal of Road and Bridge Engineering 13, n.º 4 (21 de dezembro de 2018): 429–46. http://dx.doi.org/10.7250/bjrbe.2018-13.427.
Texto completo da fontePrasolenko, O., D. Burko, T. Lutsenko e I. Tkachenko. "PATTERNS OF DRIVERS' ATTENTION CHANGES WHEN MOTION VIA URBAN STREETS IN THE EVENING TWILIGHT CONDITIONS". Municipal economy of cities 3, n.º 156 (1 de julho de 2020): 41–45. http://dx.doi.org/10.33042/2522-1809-2020-3-156-41-45.
Texto completo da fonteTeses / dissertações sobre o assunto "Traffic accidents in motion pictures"
Zhou, Dingfu. "Vision-based moving pedestrian recognition from imprecise and uncertain data". Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2162/document.
Texto completo da fonteVision-based Advanced Driver Assistance Systems (ADAS) is a complex and challenging task in real world traffic scenarios. The ADAS aims at perceiving andunderstanding the surrounding environment of the ego-vehicle and providing necessary assistance for the drivers if facing some emergencies. In this thesis, we will only focus on detecting and recognizing moving objects because they are more dangerous than static ones. Detecting these objects, estimating their positions and recognizing their categories are significantly important for ADAS and autonomous navigation. Consequently, we propose to build a complete system for moving objects detection and recognition based on vision sensors. The proposed approach can detect any kinds of moving objects based on two adjacent frames only. The core idea is to detect the moving pixels by using the Residual Image Motion Flow (RIMF). The RIMF is defined as the residual image changes caused by moving objects with compensated camera motion. In order to robustly detect all kinds of motion and remove false positive detections, uncertainties in the ego-motion estimation and disparity computation should also be considered. The main steps of our general algorithm are the following : first, the relative camera pose is estimated by minimizing the sum of the reprojection errors of matched features and its covariance matrix is also calculated by using a first-order errors propagation strategy. Next, a motion likelihood for each pixel is obtained by propagating the uncertainties of the ego-motion and disparity to the RIMF. Finally, the motion likelihood and the depth gradient are used in a graph-cut-based approach to obtain the moving objects segmentation. At the same time, the bounding boxes of moving object are generated based on the U-disparity map. After obtaining the bounding boxes of the moving object, we want to classify the moving objects as a pedestrian or not. Compared to supervised classification algorithms (such as boosting and SVM) which require a large amount of labeled training instances, our proposed semi-supervised boosting algorithm is trained with only a few labeled instances and many unlabeled instances. Firstly labeled instances are used to estimate the probabilistic class labels of the unlabeled instances using Gaussian Mixture Models after a dimension reduction step performed via Principal Component Analysis. Then, we apply a boosting strategy on decision stumps trained using the calculated soft labeled instances. The performances of the proposed method are evaluated on several state-of-the-art classification datasets, as well as on a pedestrian detection and recognition problem.Finally, both our moving objects detection and recognition algorithms are tested on the public images dataset KITTI and the experimental results show that the proposed methods can achieve good performances in different urban scenarios
Livros sobre o assunto "Traffic accidents in motion pictures"
Jordán, Guillermo Arriaga. 21 grams. London: Faber and Faber, 2003.
Encontre o texto completo da fonteHans-Peter, Wipplinger, Chaubal Anjalie 1969- e Museum Moderner Kunst Passau, eds. Dieter Buchhart: Cut. Wien: Schlebrügge, 2007.
Encontre o texto completo da fonteHaggis, Paul. Crash: Story. 2a ed. [S.l: s.n., 2003.
Encontre o texto completo da fonteGoodbye, goodness: A novel. New York: Open City Books, 2005.
Encontre o texto completo da fonteScreen traffic: Movies, multiplexes, and global culture. Durham: Duke University Press, 2003.
Encontre o texto completo da fonteSherrill, Martha. My last movie star: A novel of Hollywood. New York: Random House, 2003.
Encontre o texto completo da fontePicturing American modernity: Traffic, technology, and the silent cinema. Durham: Duke University Press, 2008.
Encontre o texto completo da fonteSchwartz, John Burnham. Reservation Road. Thorndike, Me: Thorndike Press, 1999.
Encontre o texto completo da fonteSchwartz, John Burnham. Reservation road. London: Orion, 1999.
Encontre o texto completo da fonteSchwartz, John Burnham. Reservation road. London: QPD, 1998.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Traffic accidents in motion pictures"
Goodwin, Brian D., Sajal Chirvi e Frank A. Pintar. "Injury Mechanisms in Traffic Accidents". In Handbook of Human Motion, 2363–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_93.
Texto completo da fonteMattos, Garrett A. "Vehicle Occupants in Traffic Accidents". In Handbook of Human Motion, 2399–416. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_94.
Texto completo da fonteGoodwin, Brian D., Sajal Chirvi e Frank A. Pintar. "Injury Mechanisms in Traffic Accidents". In Handbook of Human Motion, 1–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-30808-1_93-1.
Texto completo da fonteMattos, Garrett A. "Vehicle Occupants in Traffic Accidents". In Handbook of Human Motion, 1–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-30808-1_94-1.
Texto completo da fonteElmi, Zahra, e Soheila Elmi. "Autonomous Vehicle Path Planning Using MPC and APF". In Motion Planning. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99628.
Texto completo da fonteVexler, Julian, e Stefan Kramer. "Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework". In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230647.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Traffic accidents in motion pictures"
Akoz, O., e M. E. Karsligil. "Severity detection of traffic accidents at intersections based on vehicle motion analysis and multiphase linear regression". In 2010 13th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/itsc.2010.5624990.
Texto completo da fonteTakao, Kisa, Hironori Uchida, Yujie Li e Yoshihisa Nakatoh. "The Effect of Auditory Stimulus on Gazing Behavior in Driving Assistance Systems". In 10th International Conference on Human Interaction and Emerging Technologies (IHIET 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004058.
Texto completo da fonteBalci, İbrahim, e Ahmet Kirli. "Development of a Multibody Dynamic Model of a Seated Occupant to Evaluate More Realistic ISO-Standard Motion Sickness Dose Value". In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0853.
Texto completo da fonteWei, Zehong, Jiaxin Wang, Lei Shi, Qingju Wang, Yuanyuan Ren e Xuelian Zheng. "Driving Fatigue Recognition Based on the Combination of Multimodal Features". In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005235.
Texto completo da fonteMatsumura, Hideki, Motoki Sugiyama e Takekazu IWATA. "Study on a Method for Reconstructing Pre-Crash Situations Using Data of an Event Data Recorder and a Dashboard Camera". In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2891.
Texto completo da fonteBukaty, Michael E. "A Vehicle Identification System For Surveillance Applications". In Machine Vision. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/mv.1987.fa5.
Texto completo da fonteKoppisetty, D. V. Suresh, S. S. Akhil Hawaldar e Hamid M. Lankarani. "Comparison of Dummy and Human Body Models in Automotive Side Impact Collisions According to the Regulatory Standards". In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10680.
Texto completo da fonteMaull, Thomas, Lauren Eichaker, Sean Buczek e Troy Graham. "Rolling Resistance of a Skateboard". In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23910.
Texto completo da fonteSemones, Paul T., e David A. Renfroe. "Magnitude of Axle Tramp Response to Partially Detreaded Tire Imbalance in Highway-Speed Driving". In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70287.
Texto completo da fonteRooseleer, Frédéric, Barry Kirwan, Elizabeth Humm e Diana Paola Moreno Alarcon. "'The Application of Human Factors in Wake Vortex Encounter Flight Simulations for the Reduction of Flight Upset Risk and Startle Response". In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001565.
Texto completo da fonte