Relevant bibliographies by topics / Driver Assistance Systems (DAS)

Contents

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

Academic literature on the topic 'Driver Assistance Systems (DAS)'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Driver Assistance Systems (DAS)"

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Popken, Markus, Andrej Rosenow, and Michael Lübcke. "Driver Assistance Systems." ATZextra worldwide 12, no. 1 (2007): 210–15. http://dx.doi.org/10.1365/s40111-007-0040-z.

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Vukotich, Alejandro, Markus Popken, Andrej Rosenow, and Michael Lübcke. "Driver Assistance Systems." ATZextra worldwide 13, no. 2 (2008): 170–77. http://dx.doi.org/10.1365/s40111-008-0075-9.

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Henle, Lothar, Uwe Regensburger, Bernd Danner, Elisabeth Hentschel, and Carsten Hämmerling. "Driver Assistance Systems." ATZextra worldwide 14, no. 1 (2009): 56–63. http://dx.doi.org/10.1365/s40111-009-0135-9.

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Katzwinkel, Reiner, and Stephan Kopischke. "Driver Assistance Systems." ATZextra worldwide 14, no. 12 (2009): 48–55. http://dx.doi.org/10.1365/s40111-009-0183-1.

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Vukotich, Alejandro, Georg Peter Duba, and Torsten Gollewski. "DRIVER ASSISTANCE SYSTEMS." ATZextra worldwide 15, no. 11 (2010): 178–80. http://dx.doi.org/10.1365/s40111-010-0257-0.

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Vukotich, Alejandro, Raúl García Salvador, Alejandro Membrive Martínez, and Hendrik Töpper. "DRIVER ASSISTANCE SYSTEMS." ATZextra worldwide 16, no. 7 (2011): 86–95. http://dx.doi.org/10.1365/s40111-011-0300-9.

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Palac, Daniel, Iiona D. Scully, Rachel K. Jonas, John L. Campbell, Douglas Young, and David M. Cades. "Advanced Driver Assistance Systems (ADAS): Who’s Driving What and What’s Driving Use?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 1220–24. http://dx.doi.org/10.1177/1071181321651234.

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The emergence of vehicle technologies that promote driver safety and convenience calls for investigation of the prevalence of driver assistance systems as well as of their use rates. A consumer driven understanding as to why certain vehicle technology is used remains largely unexplored. We examined drivers’ experience using 13 different advanced driver assistance systems (ADAS) and several reasons that may explain rates of use through a nationally-distributed survey. Our analysis focused on drivers’ levels of understanding and trust with their vehicle’s ADAS as well as drivers’ perceived ease,
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Crump, Caroline, David Cades, Benjamin Lester, et al. "Differing Perceptions of Advanced Driver Assistance Systems (ADAS)." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 861–65. http://dx.doi.org/10.1177/1541931213601197.

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The extent to which drivers’ attitudes toward the use of autonomous vehicle systems can be influenced by various driver factors (e.g., driver age, experience with the systems, etc.) has yet to be firmly established. To investigate driver perceptions and acceptance of advanced vehicle systems, the current research examined initial and repeated exposure to systems while driving under various commonly encountered on-road situations (e.g., emergency braking). Somewhat surprisingly, driver perceptions of safety when driving vehicles with assistive technologies diminished following repeated exposure
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Ucińska, Monika. "Adaptation to driver-assistance systems depending on experience." Open Engineering 11, no. 1 (2021): 650–61. http://dx.doi.org/10.1515/eng-2021-0064.

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Abstract Many tasks that until recently could only be performed by humans are now entrusted to machines. Automation plays an increasingly important role in many areas of life, and its special role is observed in broadly understood transport, affecting the mobility, behaviour, and safety of drivers. Faced with the threat of a large number of accidents, deaths, and injuries, vehicles equipped with driver-assistance systems, the so-called ADAS (advanced driver-assistance system), are a significant support for the driver in reacting to the unexpected situations. The studies conducted so far indica
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Böhm, Michael, and Jürgen Locher. "Lighting-Based Driver Assistance Systems." ATZautotechnology 8, no. 3 (2008): 42–46. http://dx.doi.org/10.1007/bf03247039.

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Dissertations / Theses on the topic "Driver Assistance Systems (DAS)"

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Cioran, Anders. "System Integration Testing ofAdvanced Driver Assistance Systems." Thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175371.

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En viktig faktor for att fortsatta forbattra traksakerheten ar genom att utveckla ochimplementera avancerade forarstodsfunktioner (ADAS) i fordon. Gemensamma aspekterhos de undersokta ADAS ar deras formagor att detektera och undvika farliga traksituationergenom att nyttja sensordata och fordonstillstand for att kontrollera fordonetsforyttning. Nya testmetoder maste overvagas eftersom nyutvecklade ADAS ar mer komplexaoch sakerhetskritiska. Detta arbete undersoker hur man kan testa nya ADAS fran etthelfordonsperspektiv, genom att bland annat ta hansyn till aspekter sasom lampliga testomgivningar
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Onkarappa, Naveen. "Optical Flow in Driver Assistance Systems." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/129340.

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El moviment és un atribut perceptiu del cervell humà molt important. La percepció visual que fa el cervell del moviment és el procés d’inferir la velocitat i direcció dels elements d’un escenari mitjançant entrades visuals. Anàlogament, la visió per computador s’assisteix mitjançant informació del moviment de l’escena. En visió per computador, la detecció de moviment és útil per a resoldre problemes com per exemple segmentació, estimació de la profunditat, estimació de l’estructura a partir del moviment, compressió de dades o navegació entre d’altres. Aquests problemes són comuns a diferents a
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Lundkvist, André. "3D Auditory Displays for Driver Assistance Systems." Doctoral thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-97.

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A constantly increasing number of advanced driver assistance systems are implemented in cars.The driver is required to interpret the data reported by these systems while driving, and thereforeit is important to know how the information signals provided by such systems affect the driver.Driving relies to a large extent on vision, and most current advanced driver assistance systemsuse visual information, requiring visual attention from the driver. This conflicts with the drivingtask and leads to an increase in inattention and in cognitive and visual workload. Off-loadingvisually demanding tasks
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Lundkvist, André. "3D signal sounds for driver assistance systems." Licentiate thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-25767.

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With an increasing number of advanced driver assistance systems in cars, it is important to know how the driver is affected by different kinds of information signals. Many of the systems already used in cars rely on visual information, and therefore require visual attention. This can lead to an increase in inattention, as well as in cognitive and visual workload. By the use of other types of signals, the risk of overloading one sensory modality is reduced. Previous research has shown a correlation between visual inattention and unsafe driving behaviour, so the use of 3D signal sounds or spatia
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Dugarry, Alexandre. "Advanced driver assistance systems information management and presentation." Thesis, Cranfield University, 2004. http://hdl.handle.net/1826/833.

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With the development of advanced driving assistance systems, in-vehicle communication and information systems, there are situations where the driver becomes overloaded by information, creating potentially dangerous conditions. In this Thesis a novel strategy is proposed, to prioritise and present information. Firstly two main criteria are extracted, that allow the ability to rank messages: the risk associated with the non-presentation of the message, and its relevance to the environment. Fuzzy cognitive maps enable to represent expert knowledge and model these relationships. Secondly, a strate
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Khan, Jehangir. "Embedded multiprocessor architectures for automative driver assistance systems." Valenciennes, 2009. http://ged.univ-valenciennes.fr/nuxeo/site/esupversions/d494f35c-ba4b-4230-bb99-881df0742ab6.

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Automotive crashes are responsible for the highest number of accidental deaths all over the world. Researchers, automotive manufacturers and government authorities around the world are continuously looking for solutions to this problem. Research has shown that half of the accidents can be avoided if a driver is alerted to an impending collision a fraction of a second in advance. A mechanism for warning the driver of an approaching danger is called a Driver Assistance System (DAS). Accident statistics show that a great majority of the vehicle crashes result from front-end collisions. Hence mini
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Demilew, Selameab. "3D Object Detection for Advanced Driver Assistance Systems." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42343.

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Robust and timely perception of the environment is an essential requirement of all autonomous and semi-autonomous systems. This necessity has been the main factor behind the rapid growth and adoption of LiDAR sensors within the ADAS sensor suite. In this thesis, we develop a fast and accurate 3D object detector that converts raw point clouds collected by LiDARs into sparse occupancy cuboids to detect cars and other road users using deep convolutional neural networks. The proposed pipeline reduces the runtime of PointPillars by 43% and performs on par with other state-of-the-art models. We do n
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Elyasi-Pour, Roya. "Simulation Based Evaluation of Advanced Driver Assistance Systems." Licentiate thesis, Linköpings universitet, Kommunikations- och transportsystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122715.

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Road transportation is an essential element of mobility in most countries and we can observe an increasing demand for both goods and passenger traffic. There are however important societal and economical problems related to road transportation in terms of congestions, traffic safety and environmental effects. During the last decades vehicles have increasingly been equipped with different types of Advanced Driver Assistance Systems (ADAS). These systems can to some extent compensate for human behaviour and errors that cause congestions, accidents and air pollution. Most studies conducted to eva
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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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Riener, Andreas. "Sensor actuator supported implicit interaction in driver assistance systems /." Wiesbaden : Vieweg + Teubner, 2010. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018949569&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Books on the topic "Driver Assistance Systems (DAS)"

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Winner, Hermann, Stephan Hakuli, Felix Lotz, and Christina Singer, eds. Handbook of Driver Assistance Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09840-1.

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Huelsen, Michael. Knowledge-Based Driver Assistance Systems. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-05750-3.

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Proff, Heike, Matthias Brand, and Dieter Schramm, eds. Age-appropriate Driver Assistance Systems. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44838-7.

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Reif, Konrad, ed. Brakes, Brake Control and Driver Assistance Systems. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-03978-3.

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Li, Yan, and Hualiang Shi, eds. Advanced Driver Assistance Systems and Autonomous Vehicles. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5053-7.

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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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Gáspár, Péter, Zoltán Szabó, József Bokor, and Balazs Nemeth. Robust Control Design for Active Driver Assistance Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46126-7.

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Riener, Andreas. Sensor-Actuator Supported Implicit Interaction in Driver Assistance Systems. Vieweg+Teubner, 2010. http://dx.doi.org/10.1007/978-3-8348-9777-0.

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Riener, Andreas. Sensor-Actuator Supported Implicit Interaction in Driver Assistance Systems. Vieweg+Teubner Verlag / Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2010.

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Germany) Workshop Fahrerassistenzsysteme (9th 2014 Walting im Altmühltal. 9. Workshop Fahrerassistenzsysteme FAS2014: Walting im Altmühltal, 26.-28. März 2014. Uni-DAS e.V., 2014.

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Book chapters on the topic "Driver Assistance Systems (DAS)"

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Gotzig, Heinrich. "Parking Assistance." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_45.

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Mages, Mark, Felix Klanner, and Alexander Stoff. "Intersection Assistance." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_51.

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Gotzig, Heinrich. "Parking Assistance." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_45-1.

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Mages, Mark, Felix Klanner, and Alexander Stoff. "Intersection Assistance." In Handbook of Driver Assistance Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_51-1.

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Haas, Roland Erik, Shambo Bhattacharjee, and Dietmar P. F. Möller. "Advanced Driver Assistance Systems." In Smart Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7139-4_27.

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Manichandra, Bollepelly, and Yaojung Shiao. "Advanced Driver Assistance Systems." In The Future of Road Transportation. CRC Press, 2023. http://dx.doi.org/10.1201/9781003354901-11.

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Isermann, Rolf. "On Driver-Assistance Systems." In Automotive Control. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-39440-9_16.

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Hilgers, Michael, and Wilfried Achenbach. "Advanced Driver Assistance Systems." In Electrical Systems and Mechatronics. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60838-8_4.

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Hubele, Norma Faris. "The Automated Driver-Assistance Systems Debate." In Backseat Driver. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003035343-10.

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Knoll, Peter. "Driving assistance systems." In Brakes, Brake Control and Driver Assistance Systems. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-03978-3_15.

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Conference papers on the topic "Driver Assistance Systems (DAS)"

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Zhang, Jiliang. "Advanced Driver Assistance Systems Reliability Modeling." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935244.

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Beránek, Filip, Václav Diviš, and Ivan Gruber. "Soiling detection for advanced driver assistance systems." In Seventeenth International Conference on Machine Vision (ICMV 2024), edited by Wolfgang Osten. SPIE, 2025. https://doi.org/10.1117/12.3055223.

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Ali, Waleed Abd-Elshafi, Hatem Abdelhamid Saleh, Haneen Salah Eid, Ahmed Mohamed Fathi, and Abd-El Rahman Amr Mohamed. "Design and Implementation of Advanced Driver Assistance Systems." In 2024 International Telecommunications Conference (ITC-Egypt). IEEE, 2024. http://dx.doi.org/10.1109/itc-egypt61547.2024.10620516.

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Muddebihal, Amaresh, P. Chandru, V. Nisanth, and Tina Babu. "Pedestrian Detection and Tracking for Driver Assistance Systems." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10774640.

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Schnieder, Lars, and Stefan Detering. "Systems-theoretic foundation for advanced driver assistance systems." In 2010 4th Annual IEEE Systems Conference. IEEE, 2010. http://dx.doi.org/10.1109/systems.2010.5482475.

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Paul, Aneesh, Rohan Chauhan, Rituraj Srivastava, and Mriganka Baruah. "Advanced Driver Assistance Systems." In International Mobility Conference. SAE International, 2016. http://dx.doi.org/10.4271/2016-28-0223.

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Sarshar, Mohammadreza, and Mahdi Rezaei. "A novel system for Advanced Driver Assistance Systems." In 2010 4th Annual IEEE Systems Conference. IEEE, 2010. http://dx.doi.org/10.1109/systems.2010.5482319.

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Braun, Hanna, Magdalena Gärtner, Sandra Trösterer, et al. "Advanced Driver Assistance Systems for Aging Drivers." In AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 2019. http://dx.doi.org/10.1145/3342197.3344517.

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Breugelmans, Jeffrey, Yingzi Lin, and Hua Cai. "Incorporating Operator States in Driver Assistance Systems Control." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2775.

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In recent years, the human-in-the-loop principle has been an emerging topic throughout the field of dynamic systems and control. Within this field, Human Assistance Systems (HAS) have become increasingly important and the driving environment, in particular, tends to play a distinctive role. Previous studies mainly aimed at making assistance systems as efficient as possible, reducing the possibility for errors (collisions) to a great extent. Due to this performance-oriented approach, however, former systems tend to take up the role of a strict supervisor, rather than that of a guide-like operat
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Waters, Anthony, and Vincent Paglioni. "Advanced Driver Assistance Systems and Emotion-based Driver Behavior." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006514.

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Automobiles have evolved over the decades to include an increasing number of automated systems that assist the driver or even take over control of the vehicle. As a result, the human demands from vehicles have changed so that cognitive power can be used to participate in other activities while driving. These advanced drivers assistance systems (ADAS) include features such as lane keeping assistance, adaptive cruise control, blind spot monitoring and emergency crash avoidance. Each of these systems works to improve vehicle safety, principally by decreasing the required human intervention in som
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Reports on the topic "Driver Assistance Systems (DAS)"

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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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<div class="section abstract"><div class="htmlview paragraph">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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Kato, Shin, Naohisa Hashimoto, Naoko Minobe, Mayumi Kawai, and Sadayuki Tsugawa. Driver Assistance System With Cooperation Between Vehicles. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0477.

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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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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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Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2015.

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In this research work, we develop a drowsy driver detection system through the application of visual and radar sensors combined with machine learning. The system concept was derived from the desire to achieve a high level of driver safety through the prevention of potentially fatal accidents involving drowsy drivers. According to the National Highway Traffic Safety Administration, drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, and a death toll of nearly 800 in 2017. The objective of this research work is to provide a working prototype of Advanced Driver Ass
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Pulugurtha, Srinivas S., and Raghuveer Gouribhatla. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.1944.

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Traffic related crashes cause more than 38,000 fatalities every year in the United States. They are the leading cause of death among drivers up to 54 years in age and incur $871 million in losses each year. Driver errors contribute to about 94% of these crashes. In response, automotive companies have been developing vehicles with advanced driver assistance systems (ADAS) that aid in various driving tasks. These features are aimed at enhancing safety by either warning drivers of a potential hazard or picking up certain driving maneuvers like maintaining the lane. These features are already part
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Kato, Shin, Naoko Minobe, Mayumi Kawai, and Sadayuki Tsugawa. Driver Assistance System With Cooperation Between Vehicles~A Proposal and Fundamental Experiments. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0251.

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Muelaner, Jody, ed. Unsettled Issues in Commercial Vehicle Platooning. SAE International, 2021. http://dx.doi.org/10.4271/epr2021027.

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Platooning has the potential to reduce the energy consumption of commercial vehicles while improving safety; however, both advantages are currently difficult to quantify due to insufficient data and the wide range of variables affecting models. Platooning will significantly reduce the use of energy when compared to trucks driven alone, or at a safe distance for a driver without any automated assistance. Platooning will also reduce stopping distances—multiple states in the US have passed laws authorizing truck platoons to operate at shorter gaps than are authorized for normal, human-driven truc
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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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