Relevant bibliographies by topics / Advanced driver assistance system

Contents

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

Academic literature on the topic 'Advanced driver assistance system'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Advanced driver assistance system"

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Agarwal, Sanskar, and Kavitha R. "Advanced Driver Assistance System Using Machine Learning." International Journal of Research Publication and Reviews 5, no. 3 (2024): 1364–70. http://dx.doi.org/10.55248/gengpi.5.0324.0661.

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Inamdar, Aditi, and Dr Rama Bansode. "Advanced Driver Assistance System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–15. http://dx.doi.org/10.55041/ijsrem36848.

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Abstract—Advanced Driver Assistance System(ADAS) has become a salient feature for safety in modern vehicles. They are also a key underlying technology in emerging autonomous vehicles. State-of-the-art ADASs are primarily vision based,but light detection and ranging(lidar),radio detection and ranging(radar) and other advanced-sensing technologies are also becoming popular. In this article, we present a survey of different hardware and software ADAS technologies and their capabilities and limitations. We discuss approaches used for vision based recognition and sensor fusion in ADAS solutions. We
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Shivale, Pranali, Neha Sonawane, Srushti Dharmale, Taha Lokhandwala, and Prof Dr M. B. Wagh. "Advanced Driver Assistance System." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1111–13. http://dx.doi.org/10.22214/ijraset.2023.49547.

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bstract: Many people die each year in roadway departure crashes caused by driver inattention. Lane detection systems are useful in avoiding these accidents as safety is the main purpose of these systems. Such systems have the goal to detect the lane marks and to warn the driver in case the vehicle tends to depart from the lane. A lane detection system is an important element of many intelligent transport systems. Lane detection is a challenging task because of the varying road conditions that one can come across while driving. In the past few years, numerous approaches for lane detection were
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Chavan, Sakshi, Shubham Pawar, Shreyas Mahajan, and M. S. Gawade. "Advanced Driver Assistance System Using Image Processing For Blindspot Detection." International Journal of Research Publication and Reviews 6, no. 6 (2025): 2462–68. https://doi.org/10.55248/gengpi.6.0625.2052.

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Ayyasamy, S. "A Comprehensive Review on Advanced Driver Assistance System." Journal of Soft Computing Paradigm 4, no. 2 (2022): 69–81. http://dx.doi.org/10.36548/jscp.2022.2.003.

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In recent years, automotive industry is experiencing an unprecedented transformation with the rise of digital technologies. While in the past, acceleration, top speed, and mechanical design were the most essential factors for purchasing an automobile, electronics and software innovations define the characteristics of the future. One among such innovations is the Advanced Driver Assistance System (ADAS). This innovation is now considered as the major drive force of the automotive domain with the intelligent electronic and software architectures. ADAS is primarily designed with an objective to a
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M N, Dr Rekha, Adithya V. Prabhu, Chandana K M, Vaibhavi J K, and Bhagyashree Bhagyashree. "Advanced Driver Assist System for Automobiles." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–15. http://dx.doi.org/10.55041/ijsrem37176.

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A group of technologies known as advanced driver assistance systems (ADAS) aid in keeping drivers safe and preventing collisions. These systems monitor the area surrounding the car using a range of sensors, including cameras, radar, and lidar, and if required, send out alerts or make necessary corrections. The primary area of comfort for the driver is the driver assistance system. This study identifies, investigates, and puts into practice the issues of reduced visibility in curves, particularly in ghats, and visual impairment brought on by fog and abrupt approaching light. The suggested appro
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Ambika, Mrs M. "Lane Deviation Warning System (Advanced Driver Assistance)." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (2019): 1123–29. http://dx.doi.org/10.22214/ijraset.2019.3199.

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Izquierdo-Reyes, Javier, Ricardo A. Ramirez-Mendoza, Martin R. Bustamante-Bello, Sergio Navarro-Tuch, and Roberto Avila-Vazquez. "Advanced driver monitoring for assistance system (ADMAS)." International Journal on Interactive Design and Manufacturing (IJIDeM) 12, no. 1 (2016): 187–97. http://dx.doi.org/10.1007/s12008-016-0349-9.

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Kumar, Mayank, Niharika A, Kethireddy Anjali Reddy, Harsh Gupta, and Pushpalatha K N. "Advanced Driver Assistance System (ADAS) on FPGA." International Journal of VLSI & Signal Processing 10, no. 2 (2023): 22–26. http://dx.doi.org/10.14445/23942584/ijvsp-v10i2p104.

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OZAKI, Osamu, Tomoya KAWASAKI, Kenichiro AOKI, Kentaro MATSUMOTO, and Masaki KITAGO. "Development of Advanced Drive, an Advanced Driver Assistance System using intelligence technologies." Proceedings of Mechanical Engineering Congress, Japan 2021 (2021): J181–01. http://dx.doi.org/10.1299/jsmemecj.2021.j181-01.

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Dissertations / Theses on the topic "Advanced driver assistance system"

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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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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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Biondi, Francesco. "Advanced Driver Assistance Systems: Multimodal, redundant warnings enhance road safety." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3424086.

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Advanced driver assistance systems or ADAS are designed to assist the driver while at the wheel of a motor vehicle. ADAS constantly monitor certain driving parameters such as the speed of the vehicle. When these parameters exceed safe threshold (e.g., the speed exceeds the limit), warnings are presented to inform the driver that the execution of given driving adjustments is needed in order to avoid likely accidents. Although ADAS may reduce accidents by 20%, if the warnings presented by these systems are poorly-designed, they may even disturb driving and, as a result, slow drivers’ responses w
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Laika, Andreas [Verfasser]. "Monoscopic Object-Recognition for Advanced Driver Assistance Systems / Andreas Laika." München : Verlag Dr. Hut, 2011. http://d-nb.info/1018982078/34.

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Andersson, Naesseth Christian. "Vision and Radar Sensor Fusion for Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94222.

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The World Health Organization predicts that by the year 2030, road traffic injuries will be one of the top five leading causes of death. Many of these deaths and injuries can be prevented by driving cars properly equipped with state-of-the-art safety and driver assistance systems. Some examples are auto-brake and auto-collision avoidance which are becoming more and more popular on the market today. A recent study by a Swedish insurance company has shown that on roadswith speeds up to 50 km/h an auto-brake system can reduce personal injuries by up to 64 percent. In fact in an estimated 40 perce
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Kühnl, Tobias [Verfasser]. "Road terrain detection for Advanced Driver Assistance Systems / Tobias Kühnl." Bielefeld : Universitätsbibliothek Bielefeld, 2013. http://d-nb.info/1044072245/34.

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Johansson, Kristoffer. "Exploring the driver instructor metaphor : Requirement assessment for an advanced driver assistance system thatprovides driving related feedback." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113998.

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The risk of being involved in a traffic car accident increases with age. Countermeasuressuch as advanced driver assistance system and retraining programs have both been waysof trying to reverse this trend. This thesis sought to merge the two countermeasures byexploring the idea of a system that gives feedback on elders' driving. Two separaterequirement assessments were carried out with the aims to address what, when and howfeedback should be communicated to elderly drivers. Additional aims were to assessrequirements that could affect the acceptance and trust in relation to the system. Firstly,
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Asghar, Jawaria. "Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-179491.

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For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. In this research thesis, an algorithm for jointly ego-vehicle motion and road geometry estimation for Advanced Driver Assistance Systems (ADAS) is developed. The measurements are obtained from the inertial sensors, wheel speed sensors, ste
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Books on the topic "Advanced driver assistance system"

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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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Waschl, Harald, Ilya Kolmanovsky, and Frank Willems, eds. Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91569-2.

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Mimmo, Nicola. Analysis and Design of Control Laws for Advanced Driver-Assistance Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22520-8.

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Payá-Vayá, Guillermo, and Holger Blume. Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems. River Publishers, 2022. http://dx.doi.org/10.1201/9781003339847.

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International Conference on Advanced Driver Assistance Systems (2001 Birmingham, England). ADAS: International Conference on Advanced Driver Assistance Systems, 17-18 September 2001, venue, Austin Court, Birmingham, UK. IEE, 2001.

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L, Neale Vicki, McGhee Catherine C, Virginia Transportation Research Council, Virginia Polytechnic Institute and State University. Transportation Institute., Virginia. Dept. of Transportation., and United States. Federal Highway Administration., eds. Intersection decision support: Evaluation of a violation warning system to mitigate straight crossing path collisions. Virginia Transportation Research Council, 2006.

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Advanced Driver Assistance Systems: Adas_v3_0519230948. Automotive Video Innovations, Incorporated, 2023.

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Zack, Steve, and Kurt Shadbolt. Advanced Driver Assistance Systems (ADAS). Goodheart-Willcox Publisher, 2023.

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International conference on advanced driver assistance systems. Institution of Electrical Engineers, 2001.

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Book chapters on the topic "Advanced driver assistance system"

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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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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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Riener, Andreas. "Advanced Driver Assistance Systems (ADAS)." In Sensor-Actuator Supported Implicit Interaction in Driver Assistance Systems. Vieweg+Teubner, 2010. http://dx.doi.org/10.1007/978-3-8348-9777-0_9.

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Dimitrakopoulos, George. "Advanced Driver Assistance Systems (ADAS)." In Current Technologies in Vehicular Communication. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47244-7_4.

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Antony, Maria Merin, and Ruban Whenish. "Advanced Driver Assistance Systems (ADAS)." In Automotive Embedded Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59897-6_9.

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Sandhya Devi, R. S., B. Vinoth Kumar, P. Sivakumar, A. Neeraja Lakshmi, and R. Tripathy. "Bootloader Design for Advanced Driver Assistance System." In Software Engineering for Automotive Systems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003269908-3.

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Gerónimo, David, David Vázquez, and Arturo de la Escalera. "Vision-Based Advanced Driver Assistance Systems." In Computer Vision in Vehicle Technology. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118868065.ch5.

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Aulinas, Josep, and Hanky Sjafrie. "AI for Advanced Driver Assistance Systems." In AI for Cars. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003099512-1-1.

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Mahato, Rahul Kumar, Avinash Kumar, Jyoti Prasad Kurmi, Sanaboina Snigdha, Gurjot Singh Gaba, and Rajan Miglani. "An advanced driver assistance system for autonomous vehicles." In Intelligent Circuits and Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003129103-52.

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Conference papers on the topic "Advanced driver assistance system"

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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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Chandolu, Suresh Babu, Naga Maneesha Medidhi, Chandanapriya Satyala, Zaheer Mohammad, Ashish Raj Sharma, and Praveen Prakash Venigalla. "Computer Vision-Based Multi-Modal Advanced Driver Assistance System." In 2025 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2025. https://doi.org/10.1109/icict64420.2025.11004869.

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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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Park, Hanyoung, Minji Cho, Yongjae Jang, and Ji-Woong Choi. "Latency Analysis of In-Vehicle Network for Advanced Driver Assistance System." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757452.

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Borhade, S., M. Shah, P. Jadhav, D. Rajurkar, and A. Bhor. "Advanced driver assistance system." In 2012 Sixth International Conference on Sensing Technology (ICST 2012). IEEE, 2012. http://dx.doi.org/10.1109/icsenst.2012.6461772.

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Sangve, S. M., Manas Kulkarni, Khushboo Chawade, Gaurav Marathe, and Parmeshvar Pawar. "Advanced Driver Assistance System(ADAS)." In 2024 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2024. http://dx.doi.org/10.1109/esci59607.2024.10497387.

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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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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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Chen, Hua, Fengkai Zhao, Kai Huang, and Yantao Tian. "Driver Behavior Analysis for Advanced Driver Assistance System." In 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2018. http://dx.doi.org/10.1109/ddcls.2018.8516059.

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Reports on the topic "Advanced driver assistance system"

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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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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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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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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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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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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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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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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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<div class="section abstract"><div class="htmlview paragraph">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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Dahal, Sachindra, and Jeffery Roesler. Passive Sensing of Electromagnetic Signature of Roadway Material for Lateral Positioning of Vehicle. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-039.

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Autonomous vehicles (AV) and advanced driver-assistance systems (ADAS) offer multiple safety benefits for drivers and road agencies. However, maintaining the lateral position of an AV or a vehicle with ADAS within a lane is a challenge, especially in adverse weather conditions when lane markings are occluded. For significant penetration of AV without compromising safety, vehicle-to-infrastructure sensing capabilities are necessary, especially during severe weather conditions. This research proposes a method to create a continuous electromagnetic (EM) signature on the roadway, using materials c
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