Academic literature on the topic 'ADAS systémy'

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Journal articles on the topic "ADAS systémy"

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Louis, Renee St, David Eby, Lidia Kostyniuk, et al. "PREVALENCE AND USE OF ADVANCED DRIVER ASSISTANCE SYSTEMS IN THE OLDER DRIVER POPULATION." Innovation in Aging 6, Supplement_1 (2022): 614. http://dx.doi.org/10.1093/geroni/igac059.2286.

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Abstract Research on advanced driver assistance systems (ADAS) in the older driver population has suggested the potential for ADAS to improve safety and driving comfort by helping aging drivers overcome functional declines commonly experienced in later-life. However, attaining anticipated ADAS benefits is dependent upon drivers’ awareness, understanding, and use of ADAS in their own vehicles. Questionnaire data from 2,374 older drivers enrolled in the AAA LongROAD study were analyzed to investigate changes in the prevalence and use of 15 ADAS and how participants learned to use these technolog
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Chickrin, D. "STRUCTURE AND HIERARCHIES OF INFOCOMMUNICATION SYSTEMS IN DRIVER ASSISTANCE SYSTEMS AS DESIGN TEMPLATES FOR SUBSYSTEMS OF UNMANNED VEHICLE." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 23, no. 4 (2021): 86–95. http://dx.doi.org/10.37313/1990-5378-2021-23-4-86-95.

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The article presents the structure of infocommunication systems of unmanned transport systems developed by the author, which combines the main information subsystems of the control loop in Advanced driver-assistance systems (ADAS) and shows their interaction. The analysis of the architecture of the ADAS system as a complex system from the point of view of the application of Mesarovich's theory of hierarchical multilevel systems is given (also known as stratification process) - as a result of which ADAS infocommunication systems are presented in the form of a hierarchy of the strata-layers-eche
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Hansen, Abigail, Kim Kiely, Tuki Attuquayefio, et al. "GENDER AND AGE DIFFERENCES IN ACCEPTANCE OF ADVANCED DRIVER ASSISTANCE SYSTEMS: INSIGHTS FROM OLDER AUSTRALIANS." Innovation in Aging 7, Supplement_1 (2023): 409. http://dx.doi.org/10.1093/geroni/igad104.1352.

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Abstract Advanced Driver-Assistance Systems (ADAS) are in-vehicle technologies that promise to improve driver safety and may help support older drivers to drive safer for longer, however there is little research examining acceptance and use of ADAS among older adults. This study investigated age and gender differences in attitudes to ADAS and use of ADAS. We conducted an online survey of 1330 drivers aged 65 years or older (M=72, SD=6.9, 23% women) in partnership with National Seniors Australia. ADAS use was self-reported, classifying respondents in to users (96%) and non-users (4%). ADAS acce
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Hansen, Abigail, Kim Kiely, Tuki Attuquayefio, Diane Hosking, Ranmalee Eramudugolla, and Kaarin Anstey. "PREDICTING USE OF ADVANCED DRIVER-ASSISTANCE SYSTEMS IN OLDER DRIVERS THROUGH STRUCTURAL EQUATION MODELING." Innovation in Aging 8, Supplement_1 (2024): 404. https://doi.org/10.1093/geroni/igae098.1313.

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Abstract Older drivers are an at-risk population when on-road. Normal ageing processes, such as declines in visual, sensorimotor and cognitive processes, impact driving skills and contribute to the increasing crash rate. Advanced Driver-Assistance Systems (ADAS) may provide a solution to keep older drivers safe on the road. This study investigated what technology acceptance and trust factors predict use of ADAS between older drivers who have ADAS in their car and a) use it (n=790) or b) do not use it (n=32). We conducted an online survey to 1330 Australian drivers aged 65 years or older (M=72,
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Kang, Heejin, Yoseph Lee, Harim Jeong, Giok Park, and Ilsoo Yun. "Applying the Operational Design Domain Concept to Vehicles Equipped with Advanced Driver Assistance Systems for Enhanced Safety." Journal of Advanced Transportation 2023 (December 11, 2023): 1–14. http://dx.doi.org/10.1155/2023/4640069.

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Advanced driver assistance systems (ADASs) assist drivers by alerting them of the occurrence of events based on the sensing capabilities of the vehicle, reducing the effort required by drivers. Most vehicles that are recently launched vehicles have been endowed with ADAS, thereby significantly reducing traffic accidents. However, the Insurance Institute for Highway Safety has reported that traffic accidents caused by driver negligence may increase as drivers have become accustomed to using ADAS. Therefore, drivers must be provided with sufficient information on the appropriate use of ADAS thro
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Vishal Goyal, Kamal Sharma, Amit Jain,. "A Comprehensive Analysis of AI/ML-enabled Predictive Maintenance Modelling for Advanced Driver-Assistance Systems." Journal of Electrical Systems 20, no. 4s (2024): 486–507. http://dx.doi.org/10.52783/jes.2060.

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Advanced Driver-Assistance Systems (ADAS) are changing driver-vehicle interactions to improve road safety and reduce distractions. Technological advances like ADAS and AI in cars present societal challenges and opportunities. It shows how AI aids human-machine communication by improving motor skills. The auto industry is interested in ADAS because it can increase energy efficiency, safety, and comfort. Numerous studies have shown its benefits. ADAS and vehicle networking show promise, but establishing a sound control system is challenging. Model Predictive Control (MPC) is one answer to these
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Fourie, Christiaan M., and Hermanus Carel Myburgh. "An Intra-Vehicular Wireless Multimedia Sensor Network for Smartphone-Based Low-Cost Advanced Driver-Assistance Systems." Sensors 22, no. 8 (2022): 3026. http://dx.doi.org/10.3390/s22083026.

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Advanced driver-assistance system(s) (ADAS) are more prevalent in high-end vehicles than in low-end vehicles. Wired solutions of vision sensors in ADAS already exist, but are costly and do not cater for low-end vehicles. General ADAS use wired harnessing for communication; this approach eliminates the need for cable harnessing and, therefore, the practicality of a novel wireless ADAS solution was tested. A low-cost alternative is proposed that extends a smartphone’s sensor perception, using a camera-based wireless sensor network. This paper presents the design of a low-cost ADAS alternative th
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Choy, Elaine C., Shivani J. Patel, and Alex Chaparro. "Safety first: User needs analysis of advanced driver assistance systems (ADAS) to determine learning preferences." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 1310–14. http://dx.doi.org/10.1177/1071181322661442.

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Adaptive cruise control, lane keep assist, and forward emergency braking are some examples of advanced driver assistance systems (ADAS) currently available in many automotive vehicles on the road today. As the capabilities of ADAS in vehicles continue to grow, is the driver’s understanding of these advanced features and their limitations also growing? We administered a 15-item online survey gauging familiarity, perceived importance, comfort using, and learning resource preferences of ADAS to 956 participants. These participants were drivers with experience in owning or renting ADAS-equipped ve
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González-Saavedra, Juan Felipe, Miguel Figueroa, Sandra Céspedes, and Samuel Montejo-Sánchez. "Survey of Cooperative Advanced Driver Assistance Systems: From a Holistic and Systemic Vision." Sensors 22, no. 8 (2022): 3040. http://dx.doi.org/10.3390/s22083040.

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The design of cooperative advanced driver assistance systems (C-ADAS) involves a holistic and systemic vision that considers the bidirectional interaction among three main elements: the driver, the vehicle, and the surrounding environment. The evolution of these systems reflects this need. In this work, we present a survey of C-ADAS and describe a conceptual architecture that includes the driver, vehicle, and environment and their bidirectional interactions. We address the remote operation of this C-ADAS based on the Internet of vehicles (IoV) paradigm, as well as the involved enabling technol
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Ataman, Tevfik, Mehmet Ali Biberci, and Mustafa Bahattin Celik. "Simulation of Advanced Driving Assistance Systems for a Dynamic Vehicle Model." Engineering, Technology & Applied Science Research 14, no. 5 (2024): 16553–58. http://dx.doi.org/10.48084/etasr.8294.

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Advanced Driving Assistance Systems (ADAS), such as collision avoidance systems and adaptive cruise control, are important features of autonomous driving and are gaining importance day by day in terms of increasing road safety. To increase the reliability of the system, virtual simulation environments are used during the design and development stages. This study examines the effect of ADAS features on energy parameters during the driving cycle in a virtual simulation environment. The discussion focuses on the simulation of an electric vehicle and the relationship between energy use and ADAS fu
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Dissertations / Theses on the topic "ADAS systémy"

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Pieger, Matúš. "Sledování řidiče." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442532.

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This master’s thesis deals with the design of systems for data collection which describe the driver’s behaviour in a car. This data is used to detect risky behaviour that the driver may commit due to inattention caused by the use of either lower or higher levels of driving automation. The thesis first describes the existing safety systems, especially in relation to the driver. Then it deals with the design of the necessary measuring scenes and the implementation of new systems based on the processing of input images which are obtained via the Intel RealSense D415 stereo camera. Every system is
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Robinson, J. "ADDS : An Ada dialogue development system." Thesis, University of Bradford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374926.

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Agha, Jafari Wolde Bahareh. "A systematic Mapping study of ADAS and Autonomous Driving." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42754.

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Nowadays, autonomous driving revolution is getting closer to reality. To achieve the Autonomous driving the first step is to develop the Advanced Driver Assistance System (ADAS). Driver-assistance systems are one of the fastest-growing segments in automotive electronics since already there are many forms of ADAS available. To investigate state of art of development of ADAS towards Autonomous Driving, we develop Systematic Mapping Study (SMS). SMS methodology is used to collect, classify, and analyze the relevant publications. A classification is introduced based on the developments carried out
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Nos, Pavel. "Využití průmyslového senzorového systému ADAM pro laboratorní měření." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217288.

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Main task of the Master Thesis is to introduce into sensor systems used in the field. On Advantech sensor system with use of ADAM 4000 modules is shown decentralized sensor system which comunicates over RS 485 and using master computer. Within Master Thesis was compiled measuring board and were assembled three programs which demonstrate possible use of different types of modules. Main development environment is used ADAMView. Each modules has different number and types of inputs and outputs. Using of sensor system saving measurement time, increasing measurement effeciency, relieves data proces
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Martinez, Leandro Andrade. "Um framework para coprojeto de hardware e software de sistemas avançados de assistência ao motorista baseados em câmeras." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06122017-104613/.

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A demanda por novas tecnologias, melhoria de segurança e conforto para veículos urbanos cresceu consideravelmente nos últimos anos, motivando a indústria na criação de sistemas destinados ao apoio de motoristas (ADAS - Advanced Driver Assistance Systems). Este fato contribuiu para o desenvolvimento de diversos sistemas embarcados na área automobilística destacando-se, à prevenção de colisão a pedestres por veículos. Através do avanço em diversas pesquisas, começaram a circular pelas ruas veículos com sistemas anticolisão e com navegação autônoma. Contudo, para alcançar objetivos cada vez mais
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Jeon, Dae Kyung. "Methodologies for developing distributed systems in Ada with a simulation of a distributed Ada system." Virtual Press, 1989. http://liblink.bsu.edu/uhtbin/catkey/722459.

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In recent years, the field of distributed processing, distributed systems, has undergone great change, and has been an area attracting tremendous research and development efforts. This thesis explores the various current methodologies for designing, developing and implementing distributed systems using the Ada programming language, and goes on to implement a simulation of a distributed store system using the "virtual node" design approach. After a brief introduction on distributed systems in general, an investigation of the basic issues and problems involved in distributing Ada programs couple
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Joubert, Damien. "Conception pour le véhicule autonome et les applications ADAS sécuritaires d'un système vidéo ADAS coopératif à base de rétines CMOS." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC045.

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La perception monoculaire par caméra est un problème loin d’être résolu, qui oppose de nombreux acteurs et qui malgré des investissements massifs n’a toujours pas le niveau de performance requis pour les applications de conduite autonome. Si certaines fonctionnalités d’aides à la conduite laissent penser que l’attention du conducteur peut être réduite, ce n’est pas le cas en pratique car la question de la responsabilité repose encore sur les épaules du conducteur. Ce travail a pour objectif de construire une solution de vision frontale robuste, combinant plusieurs modalités, à travers l’utilis
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Aziz, Tabinda. "Empirical Analyses of Human-Machine Interactions focusing on Driver and Advanced Driver Assistance Systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/195975.

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Gargano, Ivan Enzo. "Model-Based validation of Driver Drowsiness Detection System for ADAS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25716/.

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The work described in this Master’s Degree thesis was born after the collaboration with the company Maserati S.p.a, an Italian luxury car maker with its headquarters located in Modena, in the heart of the Italian Motor Valley, where I worked as a stagiaire in the Virtual Engineering team between September 2021 and February 2022. This work proposes the validation using real-world ECUs of a Driver Drowsiness Detection (DDD) system prototype based on different detection methods with the goal to overcome input signal losses and system failures. Detection methods of different categories have been
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Sullivan, James A. "Management of autonomous systems in the Navy's Automated Digital Network System (ADNS)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA341474.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1997.<br>"September 1997." Thesis advisor(s): Rex Buddenberg, Suresh Sridhar. Includes bibliographical references (p. 83-84). Also available online.
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Books on the topic "ADAS systémy"

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Ortmann, Andreas, and Benoît Walraevens. Adam Smith’s System. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99704-5.

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Ropper, Allan H. Adams and Victor's principles of neurology. 8th ed. McGraw-Hill Medical Pub. Division, 2005.

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Joseph, Lentin, and Amit Kumar Mondal. Autonomous Driving and Advanced Driver-Assistance Systems (ADAS). CRC Press, 2021. http://dx.doi.org/10.1201/9781003048381.

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1911-, Adams Raymond D., Victor Maurice 1920-, Brown Robert H. 1947-, and Victor Maurice 1920-, eds. Adams and Victor's principles of neurology. 8th ed. McGraw-Hill Medical Pub. Division, 2005.

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1911-, Adams Raymond D., Victor Maurice 1920-, Samuels Martin A, and Ropper Allan H, eds. Adams and Victor's principles of neurology. 9th ed. McGraw-Hill Medical, 2009.

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I, Graham David, Nicoll, James A. R., 1958-, Bone Ian FRCP, and Adams J. Hume, eds. Adams & Graham's introduction to neuropathology. 3rd ed. Hodder Arnold, 2006.

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CRAI Workshop on Software Factories and Ada (1986 Capri, Italy). System development and Ada. Springer-Verlag, 1987.

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United States. National Aeronautics and Space Administration., ed. Autonomous power system brassboard. National Aeronautics and Space Administration, 1992.

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Scharf, Peter. Learning together with Adam: A family guide to using the Coleco Adam personal computer system. McGraw-Hill, 1985.

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O, Greenberg Jack, and Adams Raymond D. 1911-, eds. Neuroimaging: A companion to Adams and Victor's Principles of neurology. 2nd ed. McGraw-Hill, Health Professions Division, 1999.

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Book chapters on the topic "ADAS systémy"

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Mishra, Madhusmita, and Abhishek Kumar. "ADAS Technology." In Autonomous Driving and Advanced Driver-Assistance Systems (ADAS). CRC Press, 2021. http://dx.doi.org/10.1201/9781003048381-21.

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Klanner, Felix, and Christian Ruhhammer. "Backend Systems for ADAS." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_29.

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Klanner, Felix, and Christian Ruhhammer. "Backend Systems for ADAS." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_29-1.

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Gehrig, Stefan, and Uwe Franke. "Stereovision for ADAS." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_22.

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Winner, Hermann. "ADAS, Quo Vadis?" In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_62.

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Gehrig, Stefan, and Uwe Franke. "Stereovision for ADAS." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_22-1.

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Winner, Hermann. "ADAS, Quo Vadis?" In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_62-1.

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Boyer, Jean-Daniel. "Systems, love of system and modernity." In Adam Smith and Modernity. Routledge, 2023. http://dx.doi.org/10.4324/9781003301448-3.

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Kleine-Besten, Thomas, Ralph Behrens, Werner Pöchmüller, and Andreas Engelsberg. "Digital Maps for ADAS." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_27.

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Kleine-Besten, Thomas, Ralph Behrens, Werner Pöchmüller, and Andreas Engelsberg. "Digital Maps for ADAS." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_27-1.

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Conference papers on the topic "ADAS systémy"

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Jakovljevic, Mirko, and Alvaro Soares. "Open Ethernet-Based Embedded Platforms for Integrated Modular Architectures and Autonomous Systems." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12034.

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By adopting the latest developments from other critical (e.g. integrated modular avionics) and high-volume automotive industries with safety requirements (ADAS and autonomous driving), the rotorcraft industry could reduce system lifecycle costs and gain new integrated platform capabilities which support incremental modernization, simplify upgrades and modifications for different missions or rotorcraft platforms. A specific set of architecture design patterns and computational models, used in integrated modular architectures, enables the design of less complex integrated systems which can colle
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Nanda Kumar, Bvn, Soham Girish Kulkarni, Shlok Kakkar, and Kizheppatt Vipin. "ADAS Pothole Detection System using FPGA." In 2023 IEEE Asia Pacific Conference On Postgraduate Research In Microelectronics And Electronics (PRIMEAsia). IEEE, 2023. http://dx.doi.org/10.1109/primeasia60757.2023.00028.

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de Jesús Díaz, Oscar D., Salvador Martinez Cruz, Victor J. Ortiz Granados, Gerardo I. Pérez Soto, and José R. Huerta Rosales. "Obstacle classifier for ADAS system using Deep Learning." In 2024 XXVI Robotics Mexican Congress (COMRob). IEEE, 2024. https://doi.org/10.1109/comrob64055.2024.10777433.

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Mahmoud, Youssef A., Abdelrahman B. Badran, Mohamed K. Mohamed, Yahya A. Zitoon, and Amgad A. Salama. "Lane Detection Using Computer Vision Techniques in ADAS Systems." In 2024 International Conference on Future Telecommunications and Artificial Intelligence (IC-FTAI). IEEE, 2024. https://doi.org/10.1109/ic-ftai62324.2024.10950016.

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Sobti, Jaskiran, Shivam Hans, Sandeep Singh, Raman Kumar, Jasgurpreet Singh Chohan, and Ahmed Hussien Alawadi. "Effect of Advanced Driver Assistance Systems (ADAS) on Pedestrian Safety." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007369.

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Mahmoud, Youssef A., Abdelrahman B. Badran, Mohamed K. Mohamed, Yahya A. Zitoon, and Amgad A. Salama. "Speed Sign Detection Using Computer Vision Techniques in ADAS Systems." In 2024 International Conference on Future Telecommunications and Artificial Intelligence (IC-FTAI). IEEE, 2024. https://doi.org/10.1109/ic-ftai62324.2024.10950052.

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Thorn, Eric, Veronica Knisley, and Joseph Auchter. "Advancing Verification and Validation for ADAS and ADS." In WCX SAE World Congress Experience. SAE International, 2025. https://doi.org/10.4271/2025-01-8052.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Emerging automotive technologies like advanced driver assistance systems (ADAS) and automated driving systems (ADS) hold promise for improving safety for the traveling public; however, effective verification and validation (V&amp;amp;V) of these systems has proven to be challenging. Traditional testing methodologies may serve in limited cases for systems exhibiting low levels of automation, but recent studies show that these systems that have been brought to market perform poorly in practice. Further, these traditional m
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Rizgary, Daban, Niklas Strand, and Jonas Andersson. "Proving ground evaluation of enhanced ADAS: context understanding ADAS." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003812.

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Advanced driver assistance systems (ADAS) are developed to increase safety and provide a more efficient and comfortable experience when traveling by car. ADAS are reliant upon sensors to provide the intended assistance for the driver, and the driver is reliant upon an HMI interface to interact with the feature at hand. A prototype ADAS, including a human machine interface (HMI) and enhanced ADAS functionality, was developed and then evaluated on proving ground. The purpose of the study was to evaluate how the enhanced ADAS performed as compared to baseline in terms of trust, acceptance, effici
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Ahadi-Sarkani, Armand, and Salma Elmalaki. "ADAS-RL." In CPS-IoT Week '21: Cyber-Physical Systems and Internet of Things Week 2021. ACM, 2021. http://dx.doi.org/10.1145/3458648.3460008.

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Chen, Shufeng, Siddartha Khastgir, and Paul Jennings. "A System-Based Safety Assurance Framework for Human-Vehicle Interactions." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0653.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;With the introduction of vehicular digitization and automation, there has been significant growth in the number of Electronic Control Units (ECUs) inside vehicles, followed by the broader use of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADSs). The growth of the number of ECUs has also significantly increased the number of user interfaces. To conduct safe driving, in addition to those related to the real-time control of the vehicle, a driver also needs to be able to digest information effect
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Reports on the topic "ADAS systémy"

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Chalmers, Seth. The Challenges of Next-gen ADAS and ADS and Related Vehicle Safety Topics. SAE International, 2025. https://doi.org/10.4271/epr2025003.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Advanced driver assistance systems (ADAS) and automated driving systems (ADS) continue to expand into the market at a rapid pace. As improved (i.e., next generation) versions of these systems become available, they will continue to face many challenges in their implementation and benefits for safety and driving operations. The solution will involve many parties, including road safety professionals and researchers who see the potential in these systems but may have difficulties keeping up with them, and safety advocates w
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Chalmers, Seth. Reducing Human Driver Error and Setting Realistic Expectations with Advanced Driver Assistance Systems. SAE International, 2023. http://dx.doi.org/10.4271/epr2023016.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Thousands die or are injured each year in automobile crashes. Reducing the number of these tragedies requires reframing our approach to vehicle- and human-based transportation mobility and depends on whether the mobility industry and individual human drivers take a more aggressive approach to saving lives and preventing injuries. Bringing automated driving systems technologies into the advanced driver assist systems (ADAS) and connected vehicle space will help humans drive more safely and better prepare us for automated
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Waraniak, John. Unsettled Issues on Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems. SAE International, 2021. http://dx.doi.org/10.4271/epr2021008.

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Many automotive industry safety advocates have been pushing for greater market penetration for active safety and advanced driver-assistance systems (ADAS), with the goal of ending deaths due to car crashes. However, there are far-reaching implications for the collision repair, specialty equipment, and performance aftermarket sectors—after a collision or modification, the ADAS system functionality must be preserved to maintain, driver, passenger, and road user safety. To do this, sensor recalibration and ADAS functional safety validation and documentation after repair, modification, or accessor
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Shen, Zhina, Angelicque Tucker-Blackmon, Terrence Calistro, and Kelly Correa. Educating Advancing Driver Assistance Systems Technicians: Year Four Formative Evaluation Report. Innovative Learning Center, LLC, 2024. http://dx.doi.org/10.52012/xclk3756.

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The Enhancing Driver Assistance Systems (ADAS) Technician program at Florida State College at Jacksonville (FSCJ) prepares individuals for the rapidly evolving automotive industry, particularly in response to the increasing prevalence of autonomous and intelligent vehicles. By 2030, 12% of new cars will feature autonomous technology, growing to 40% by 2035. To address these vehicles' complex repair and maintenance needs, FSCJ developed a comprehensive ADAS curriculum, modifying five courses and creating two new ones, with significant input from industry experts. The program also established si
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Kerrigan, W. Analytical Data Management System (ADMS). Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6845581.

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Razdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, 2020. http://dx.doi.org/10.4271/epr2020025.

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This report examines the current interaction points between humans and autonomous systems, with a particular focus on advanced driver assistance systems (ADAS), the requirements for human-machine interfaces as imposed by human perception, and finally, the progress being made to close the gap. Autonomous technology has the potential to benefit personal transportation, last-mile delivery, logistics, and many other mobility applications enormously. In many of these applications, the mobility infrastructure is a shared resource in which all the players must cooperate. In fact, the driving task has
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Risko, Theodore. Avionics Diagnostic System (ADS). Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368423.

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Stouffer, Keith, Robert Jr Russell, Raymond Archacki, Thomas Engel, Richard Dansereau, and Arnold Grot. Advanced Deburring and Chamfering System (ADACS):. National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5915.

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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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Borhan, Hoseinali, Robert Radulescu, Michael Lammert, Chen Zhang, Kenneth Kelly, and Ardalan Vahidi. Advancing Platooning with ADAS (Advanced Driver-Assistance Systems) Control Integration and Assessment. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1861004.

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