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Thematische Bibliographien / Automotive Embedded Systems / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Automotive Embedded Systems“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 25. Juli 2025

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1

Watzenig, Daniel, and Eric Armengaud. "Automotive Embedded Systems." e & i Elektrotechnik und Informationstechnik 128, no. 6 (2011): 189. http://dx.doi.org/10.1007/s00502-011-0011-1.

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2

Jesty, Peter H., David D. Ward, and Roger S. Rivett. "Safety Analysis of Automotive Embedded Systems." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 1, no. 1 (2008): 255–64. http://dx.doi.org/10.4271/2008-01-0662.

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3

Sedat, Sonko, Dominic Daudu Cosmas, Osasona Femi, Matthew Monebi Ayodeji, Augustine Etukudoh Emmanuel, and Atadoga Akoh. "The evolution of embedded systems in automotive industry: A global review." World Journal of Advanced Research and Reviews 21, no. 2 (2024): 096–104. https://doi.org/10.5281/zenodo.13994894.

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The automotive industry has undergone a revolutionary transformation with the integration of embedded systems, marking a paradigm shift in vehicle design, performance, and safety. This global review explores the evolution of embedded systems in the automotive sector, encompassing the technological advancements, market trends, and the transformative impact on vehicle functionalities. Over the past few decades, the automotive landscape has witnessed a rapid integration of embedded systems to enhance vehicle intelligence and connectivity. These systems, ranging from Engine Control Units (ECUs) to

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Sedat Sonko, Cosmas Dominic Daudu, Femi Osasona, Ayodeji Matthew Monebi, Emmanuel Augustine Etukudoh, and Akoh Atadoga. "The evolution of embedded systems in automotive industry: A global review." World Journal of Advanced Research and Reviews 21, no. 2 (2024): 096–104. http://dx.doi.org/10.30574/wjarr.2024.21.2.0420.

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The automotive industry has undergone a revolutionary transformation with the integration of embedded systems, marking a paradigm shift in vehicle design, performance, and safety. This global review explores the evolution of embedded systems in the automotive sector, encompassing the technological advancements, market trends, and the transformative impact on vehicle functionalities. Over the past few decades, the automotive landscape has witnessed a rapid integration of embedded systems to enhance vehicle intelligence and connectivity. These systems, ranging from Engine Control Units (ECUs) to

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Krawczyk, Lukas, Mahmoud Bazzal, Harald Mackamul, Raphael Weber, and Carsten Wolff. "Complex event models for automotive embedded systems." Journal of Systems Architecture 123 (February 2022): 102343. http://dx.doi.org/10.1016/j.sysarc.2021.102343.

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6

Pettersson, Fredrik, Martin Ivarsson, and Peter Öhman. "Automotive use case standard for embedded systems." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–6. http://dx.doi.org/10.1145/1082983.1083193.

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7

Thomas, Della, Gangineni Kireeti, and Dadi Nikhil. "Novel automotive embedded systems for smart mobility." Brazilian Journal of Development 11, no. 3 (2025): e78601. https://doi.org/10.34117/bjdv11n3-055.

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Automation systems in vehicles are rapidly evolving. This work explores an automatic car ventilation system and traffic management system utilizing microcontrollers. A cost-effective automated car ventilation system integrated with the vehicle’s existing systems, ensuring efficient control of interior temperature and air quality has been implemented. In future, smart traffic control will become a critical issue due to the growing number of road users and the limited resources provided by the current infrastructure. We have designed a traffic control system taking into account the density of tr

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Cuenot, Philippe, Patrick Frey, Rolf Johansson, et al. "Engineering support for automotive embedded systems beyond Autosar." ATZautotechnology 9, no. 2 (2009): 46–50. http://dx.doi.org/10.1007/bf03247113.

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9

Biteus, Jonas, Mathias Jensen, and Mattias Nyberg. "DISTRIBUTED DIAGNOSIS FOR EMBEDDED SYSTEMS IN AUTOMOTIVE VEHICLES." IFAC Proceedings Volumes 38, no. 1 (2005): 263–68. http://dx.doi.org/10.3182/20050703-6-cz-1902.01846.

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10

Aleti, Aldeida. "Designing automotive embedded systems with adaptive genetic algorithms." Automated Software Engineering 22, no. 2 (2014): 199–240. http://dx.doi.org/10.1007/s10515-014-0148-0.

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11

Salewski, Falk, and Stefan Kowalewski. "Hardware/Software Design Considerations for Automotive Embedded Systems." IEEE Transactions on Industrial Informatics 4, no. 3 (2008): 156–63. http://dx.doi.org/10.1109/tii.2008.2002919.

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12

Di Natale, Marco, Arkadeb Ghosal, Paolo Giusto, Alberto Sangiovanni-Vincentelli, Haibo Zeng, and Sanjit Seshia. "Guest Editorial Special Issue on Automotive Embedded Systems." IEEE Embedded Systems Letters 2, no. 2 (2010): 21–22. http://dx.doi.org/10.1109/les.2010.2051138.

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13

Griessnig, G., I. Kundner, E. Armengaud, S. Torchiaro, and D. Karlsson. "Improving automotive embedded systems engineering at European level." e & i Elektrotechnik und Informationstechnik 128, no. 6 (2011): 209–14. http://dx.doi.org/10.1007/s00502-011-0003-y.

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14

Nissimagouar, P. C., Gireesha H. M., Basawaraj ., R. M. Shet, and Nalini C. Iyer. "Enabling Industry skills in Automotive Embedded Systems Courses: A Collaborative Model." Journal of Engineering Education Transformations 37, IS2 (2024): 820–25. http://dx.doi.org/10.16920/jeet/2024/v37is2/24126.

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Automotive electronics and related software market is growing significantly and expected to gain high demand of skilled employees in the next decade. The market drivers being the customer preferences, government regulations, technology adoption and recent participants like autonomous and electric vehicle technologies. Hence, industries are showing lot of interest in collaborations with academia for technology innovations and for getting industry ready employees. This paper presents the experiences and outcomes of collaborations with automotive industries in automotive embedded systems courses

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N.T, Vighnesh, Rachana Anil, Rohith Kumar D, Sanjana Sharvana, Rajeshwari Hegde, and B. S. Nagabhushana. "Application of Inverse Perspective Mapping for Advanced Driver Assistance Systems in Automotive Embedded Systems." International Journal of Reconfigurable and Embedded Systems (IJRES) 6, no. 3 (2018): 150. http://dx.doi.org/10.11591/ijres.v6.i3.pp150-159.

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<span style="font-size: 9.0pt; font-family: 'Times New Roman','serif'; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; mso-bidi-font-weight: bold;">In the recent times vehicle manufactures and automotive suppliers are progressing towards building vision based subsystems for provisioning driver assistance while targeting the automotive safety critical needs. While the acquired images constitute the fundamental input for any vision based system, transforms on images become essential to derive and gain insight into

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Skruch, Pawel, and Gabriel Buchala. "Model-Based Real-Time Testing of Embedded Automotive Systems." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 7, no. 2 (2014): 337–44. http://dx.doi.org/10.4271/2014-01-0188.

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Armengaud, E., A. Steininger, and M. Horauer. "Towards a Systematic Test for Embedded Automotive Communication Systems." IEEE Transactions on Industrial Informatics 4, no. 3 (2008): 146–55. http://dx.doi.org/10.1109/tii.2008.2002704.

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18

Chen, D., R. Johansson, H. Lönn, et al. "Integrated safety and architecture modeling for automotive embedded systems*." e & i Elektrotechnik und Informationstechnik 128, no. 6 (2011): 196–202. http://dx.doi.org/10.1007/s00502-011-0007-7.

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19

Garg, Mohit, and Richard Lai. "A Method for Measuring the Constraint Complexity of Components in Automotive Embedded Software Systems." International Journal of Software Engineering and Knowledge Engineering 29, no. 01 (2019): 1–21. http://dx.doi.org/10.1142/s0218194019500013.

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The rapid growth of software-based functionalities has made automotive Electronic Control Units (ECUs) significantly complex. Factors affecting the software complexity of components embedded in an ECU depend not only on their interface and interaction properties, but also on the structural constraints characterized by a component’s functional semantics and timing constraints described by AUTomotive Open System ARchitecture (AUTOSAR) languages. Traditional constraint complexity measures are not adequate for the components in embedded software systems as they do not yet sufficiently provide a me

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Thüm, Thomas, Sandro Schulze, Mario Pukall, Gunter Saake, and Sebastian Günther. "Secure and Customizable Data Management for Automotive Systems: A Feasibility Study." ISRN Software Engineering 2012 (March 18, 2012): 1–7. http://dx.doi.org/10.5402/2012/424230.

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Custom tailor-made database management systems (DBMS) are an essential asset, especially for embedded systems. The continuously increasing amount of data in automotive systems and the growing network of embedded devices can profit from DBMS. Restrictions in terms of processors, memory, and storage require customizable DBMS that contain only the needed functionality. We present AutoDaMa, a customizable DBMS designed for automotive systems. With AutoDaMa, it is possible to generate tailor-made DBMS for different scenarios, for example, by restricting the storage size of the DBMS or adding securi

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Belarbi, Mostefa. "FORMAL MODELLING OF REAL-TIME EMBEDDED AUTOMOTIVE ARCHITECTURE." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 13, no. 2 (2009): 1–18. http://dx.doi.org/10.3233/jid-2009-13201.

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This paper proposes a formal environment for distributed embedded systems. This approach consists of modelling our embedded system in a hierarchical manner by subdividing it into levels. The first level consists of the modelled application using a task set and the operating system objects (semaphores, mailboxes, watchdogs) which schedule tasks to realise application functions. The second level consists of modelling the hardware components of our embedded system. Our distributed system consists of a network of ECU (Electronic Control Unity) in which like-CAN bus allows ECU to communicate with e

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Lee, Kangseok, Inseok Park, Myoungho SunWoo, and Wootaik Lee. "AUTOSAR-ready Light Software Architecture for Automotive Embedded Control Systems." Transactions of the Korean Society of Automotive Engineers 21, no. 1 (2013): 68–77. http://dx.doi.org/10.7467/ksae.2013.21.1.068.

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23

Iqbal, Danish, Assad Abbas, Mazhar Ali, Muhammad Usman Shahid Khan, and Raheel Nawaz. "Requirement Validation for Embedded Systems in Automotive Industry Through Modeling." IEEE Access 8 (2020): 8697–719. http://dx.doi.org/10.1109/access.2019.2963774.

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24

Pham, Trung-Dung, Van-Tien Nguyen, and Truong-Son Nguyen. "Development of a Many-core Architecture for Automotive Embedded Systems." Journal of Automation and Control Engineering 4, no. 2 (2016): 147–52. http://dx.doi.org/10.12720/joace.4.2.147-152.

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25

Arjun, C., Maripelly Ajay, Prasannanjaneya Reddy V, and Mohammad Imran. "MONITORING AND CONTROLLING MODERN AUTOMOTIVE EMBEDDED SYSTEMS USING CANoe ENVIRONMENT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40513.

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However, as the quantity of electronic regulators and instruments expansions in the cutting edge vehicles, it is noticed that the unwavering quality of control framework gadgets not set in stone by the intricacy of the circuit. Additionally, the maintenance is challenging to perform. According to the format viewpoint, the most customary electric frameworks just utilize one highlight point wiring implies. This wiring approach will most presumably prompt the issue of huge pet link. Accordingly, it propels the great vehicle makers to coordinate every one of the regulators in a single framework ut

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Chakraborty, Samarjit, and S. Ramesh. "Guest Editorial Special Section on Automotive Embedded Systems and Software." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 34, no. 11 (2015): 1701–3. http://dx.doi.org/10.1109/tcad.2015.2488378.

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27

Kukkala, Vipin Kumar, Sooryaa Vignesh Thiruloga, and Sudeep Pasricha. "INDRA: Intrusion Detection Using Recurrent Autoencoders in Automotive Embedded Systems." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, no. 11 (2020): 3698–710. http://dx.doi.org/10.1109/tcad.2020.3012749.

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28

Soujanya, Reddy Annapareddy. "Stress and Failure Mode Testing for Embedded Systems." Journal of Advances in Developmental Research 14, no. 2 (2023): 1–7. https://doi.org/10.5281/zenodo.14615722.

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Embedded systems are integral to modern technology, driving innovation in industries ranging from automotive to healthcare. Ensuring their reliability under diverse operating conditions is critical. This paper provides a comprehensive guide to stress and failure mode testing for embedded systems, focusing on methodologies to evaluate performance, durability, and fault tolerance. Key topics include identifying stress parameters, simulating operational extremes, and analyzing failure mechanisms to enhance system resilience. Real-world case studies and practical tools are discussed to demonstrate

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Singh, Nikhilesh, Karthikeyan Renganathan, Chester Rebeiro, Jithin Jose, and Ralph Mader. "Kryptonite: Worst-Case Program Interference Estimation on Multi-Core Embedded Systems." ACM Transactions on Embedded Computing Systems 22, no. 5s (2023): 1–23. http://dx.doi.org/10.1145/3609128.

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Due to the low costs and energy needed, cyber-physical systems are adopting multi-core processors for their embedded computing requirements. In order to guarantee safety when the application has real-time constraints, a critical requirement is to estimate the worst-case interference from other executing programs. However, the complexity of multi-core hardware inhibits precisely determining the Worst-Case Program Interference. Existing solutions are either prone to overestimate the interference or are not scalable to different hardware sizes and designs. In this paper we present Kryptonite , an

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Zeller, Marc, and Christian Prehofer. "A Multi-Layered Control Approach for Self-Adaptation in Automotive Embedded Systems." Advances in Software Engineering 2012 (October 4, 2012): 1–15. http://dx.doi.org/10.1155/2012/971430.

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We present an approach for self-adaptation in automotive embedded systems using a hierarchical, multi-layered control approach. We model automotive systems as a set of constraints and define a hierarchy of control loops based on different criteria. Adaptations are performed at first locally on a lower layer of the architecture. If this fails due to the restricted scope of the control cycle, the next higher layer is in charge of finding a suitable adaptation. We compare different options regarding responsibility split in multi-layered control in a self-healing scenario with a setup adopted from

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Syschikov, Alexey, Yuriy Sheynin, Boris Sedov, and Vera Ivanova. "Domain-Specific Programming Environment for Heterogeneous Multicore Embedded Systems." International Journal of Embedded and Real-Time Communication Systems 5, no. 4 (2014): 1–23. http://dx.doi.org/10.4018/ijertcs.2014100101.

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Nowadays embedded systems are used in a broad range of domains such as avionics, space, automotive, mobile, domestic appliances etc. Sophisticated software determines the quality of embedded systems and requires high-qualified experts for software development. Software becomes the main assert of embedded systems that is valuable to retain in changing computing platforms in embedded systems evolution. Computing platforms for embedded systems became multicore processors and SoC, they can change in the embedded system lifetime that could be long (dozen of years for an automobile and airplane). It

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ANGUITA, DAVIDE, LUCA CARLINO, ALESSANDRO GHIO, and SANDRO RIDELLA. "A FPGA CORE GENERATOR FOR EMBEDDED CLASSIFICATION SYSTEMS." Journal of Circuits, Systems and Computers 20, no. 02 (2011): 263–82. http://dx.doi.org/10.1142/s0218126611007244.

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We describe in this work a Core Generator for Pattern Recognition tasks. This tool is able to generate, according to user requirements, the hardware description of a digital architecture, which implements a Support Vector Machine, one of the current state-of-the-art algorithms for Pattern Recognition. The output of the Core Generator consists of a high-level language hardware core description, suitable to be mapped on a reconfigurable device, like a Field Programmable Gate Array (FPGA). As an example of the use of our tool, we compare different solutions, by targeting several reconfigurable de

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Moghadam, Ali Shahdoust. "Embedded Systems and Software: Enabling Innovation in the Digital Age." International Journal of Computer Science, Engineering and Applications 13, no. 2/3/4 (2023): 01–17. http://dx.doi.org/10.5121/ijcsea.2023.13401.

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This article explores the pivotal role of embedded systems and software in driving technological advancements across various industries. Embedded systems, characterized by their integration into hardware devices and their ability to perform specific tasks with precision, have become ubiquitous in our daily lives. Their applications span across diverse fields such as automotive, healthcare, consumer electronics, and industrial automation. This article delves into the fundamental concepts of embedded systems, highlights their importance, discusses the challenges faced in their development, and e

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Yin, Xiao Feng, Jing Xing Tan, Xiu Ting Wu, and Zhi Jun Gong. "A Performance Modeling Language for Automotive Embedded Control Systems Based on UML." Applied Mechanics and Materials 236-237 (November 2012): 344–49. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.344.

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To improve the timing related performance of the embedded software of automotive control system, a performance modeling language has been developed based on UML (Unified Modeling Language) using meta-modeling technique. The proposed language consists of three kinds of meta-models used to define the high-level modeling paradigms for software structure, target platform and runtime system respectively. The modeling environment configured by the proposed language and software modules of functional model importation, components allocation, task forming and timing analysis can reuse the existing fun

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Nguyen, Hai Phong, and Yuhua Chen. "Lightweight, Post-Quantum Secure Cryptography Based on Ascon: Hardware Implementation in Automotive Applications." Electronics 13, no. 22 (2024): 4550. http://dx.doi.org/10.3390/electronics13224550.

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With the rapid growth of connected vehicles and the vulnerability of embedded systems against cyber attacks in an era where quantum computers are becoming a reality, post-quantum cryptography (PQC) is a crucial solution. Yet, by nature, automotive sensors are limited in power, processing capability, memory in implementing secure measures. This study presents a pioneering approach to securing automotive systems against post-quantum threats by integrating the Ascon cipher suite—a lightweight cryptographic protocol—into embedded automotive environments. By combining Ascon with the Controller Area

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Zheng, Rongwei, Xianzhang Chen, Duo Liu, et al. "SENTunnel: Fast Path for Sensor Data Access on Automotive Embedded Systems." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, no. 11 (2022): 3697–708. http://dx.doi.org/10.1109/tcad.2022.3197494.

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Baunach, Marcel, Renata Martins Gomes, Maja Malenko, Fabian Mauroner, Leandro Batista Ribeiro, and Tobias Scheipel. "Smart mobility of the future – a challenge for embedded automotive systems." e & i Elektrotechnik und Informationstechnik 135, no. 4-5 (2018): 304–8. http://dx.doi.org/10.1007/s00502-018-0623-6.

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38

Larses, Ola. "3.1.3 Applying quantitative methods for architecture design of embedded automotive systems." INCOSE International Symposium 15, no. 1 (2005): 398–408. http://dx.doi.org/10.1002/j.2334-5837.2005.tb00678.x.

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39

Karacali, Hüseyin, Nevzat Dönüm, and Efecan Cebel. "Xen Hypervisor Network Management System." European Journal of Research and Development 3, no. 1 (2023): 71–85. http://dx.doi.org/10.56038/ejrnd.v3i1.244.

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On embedded devices, network traffic management is crucial. One of the most fundamental criteria in projects on which embedded devices are created is connecting devices to one another. Additionally, sharing the internet connection, if there is one, has evolved into a need in today's world. In this project, two different operating systems are running by using hypervisor on the same board. The aim of this study is to connect two operating systems running on Xen Hypervisor using a virtual bridge and share the internet connection. An Embedded Linux distribution created with the Yocto project was r

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Sedat, Sonko, Augustine Etukudoh Emmanuel, Ifeanyi Ibekwe Kenneth, Ikenna Ilojianya Valentine, and Dominic Daudu Cosmas. "A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions." World Journal of Advanced Research and Reviews 21, no. 1 (2024): 2009–20. https://doi.org/10.5281/zenodo.13356513.

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The integration of embedded systems in autonomous vehicles represents a transformative paradigm shift in the automotive industry, offering unprecedented opportunities for enhanced safety, efficiency, and user experience. This comprehensive review explores the current landscape of embedded systems in autonomous vehicles, delving into emerging trends, persistent challenges, and future directions that shape the trajectory of this rapidly evolving field. The review begins by examining the foundational concepts of embedded systems in the context of autonomous vehicles, elucidating the intricate int

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Sedat Sonko, Emmanuel Augustine Etukudoh, Kenneth Ifeanyi Ibekwe, Valentine Ikenna Ilojianya, and Cosmas Dominic Daudu. "A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions." World Journal of Advanced Research and Reviews 21, no. 1 (2024): 2009–20. http://dx.doi.org/10.30574/wjarr.2024.21.1.0258.

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The integration of embedded systems in autonomous vehicles represents a transformative paradigm shift in the automotive industry, offering unprecedented opportunities for enhanced safety, efficiency, and user experience. This comprehensive review explores the current landscape of embedded systems in autonomous vehicles, delving into emerging trends, persistent challenges, and future directions that shape the trajectory of this rapidly evolving field. The review begins by examining the foundational concepts of embedded systems in the context of autonomous vehicles, elucidating the intricate int

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Zhang, Hong Kun, and Wen Jun Li. "The Application of ISO WD 26262 for Automotive Embedded System." Advanced Materials Research 317-319 (August 2011): 1577–80. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1577.

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Safety is one of the key issues of future automotive development. With the trend of increasing functionality and complexity in automotive embedded system, there are increasing risks of functional failures. It is necessary to perform the functional safety process throughout the safety lifecycle of these systems. The appearance of the new functional safety standard ISO WD 26262 also makes the consideration of functional safety as part of the design and implementation process for these systems. This paper introduces the new standard ISO WD 26262 and analyses its features. The safety life cycle ac

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Ultsch, Johannes, Julian Ruggaber, Andreas Pfeiffer, et al. "Advanced Controller Development Based on eFMI with Applications to Automotive Vertical Dynamics Control." Actuators 10, no. 11 (2021): 301. http://dx.doi.org/10.3390/act10110301.

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High-level modeling languages facilitate system modeling and the development of control systems. This is mainly achieved by the automated handling of differential algebraic equations which describe the dynamics of the modeled systems across different physical domains. A wide selection of model libraries provides additional support to the modeling process. Nevertheless, deployment on embedded targets poses a challenge and usually requires manual modification and reimplementation of the control system. The novel proposed eFMI Standard (Functional Mock-up Interface for embedded systems) introduce

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Charles Antony Raj. "Innovations in Real-Time Operating Systems (RTOS) for Safety-Critical Embedded Systems." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 791–97. https://doi.org/10.32996/jcsts.2025.7.3.86.

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This technical article explores innovations in Real-Time Operating Systems (RTOS) for safety-critical embedded applications across aerospace, automotive, healthcare, and industrial automation sectors. The discussion covers next-generation RTOS architectures, including mixed-criticality systems, time-triggered architectures, and formal verification approaches that ensure deterministic performance with robust safety guarantees. The article examines emerging adaptive RTOS designs that enable controlled runtime adaptation while maintaining certification compliance, highlighting workload-aware reso

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Cunha, Luís, João Sousa, José Azevedo, Sandro Pinto, and Tiago Gomes. "Security First, Safety Next: The Next-Generation Embedded Sensors for Autonomous Vehicles." Electronics 14, no. 11 (2025): 2172. https://doi.org/10.3390/electronics14112172.

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The automotive industry is fully shifting towards autonomous connected vehicles. By advancing vehicles’ intelligence and connectivity, the industry has enabled innovative functions such as advanced driver assistance systems (ADAS) in the direction of driverless cars. Such functions are often referred to as cyber-physical features, since almost all of them require collecting data from the physical environment to make automotive operation decisions and properly actuate in the physical world. However, increased functionalities result in increased complexity, which causes serious security vulnerab

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Soujanya, Reddy Annapareddy. "Real-Time Operating Systems (RTOS) for Embedded Firmware Development." Journal of Advances in Developmental Research 14, no. 1 (2023): 1–5. https://doi.org/10.5281/zenodo.14684674.

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Real-Time Operating Systems (RTOS) play a critical role in embedded firmware development, providing the framework necessary to manage hardware resources, schedule tasks, and ensure deterministic behavior in real-time applications. This research explores the architecture, functionality, and applications of RTOS in embedded systems, emphasizing their importance in meeting stringent timing constraints and enhancing system reliability. Key topics include task scheduling algorithms, inter-task communication mechanisms, resource management, and the integration of RTOS with modern development tools.

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Wang, Hao, Dian Ren Chen, and Ze Yu Han. "Embedded Systems Based on Simple GPS Auto Navigation System." Advanced Materials Research 1030-1032 (September 2014): 1480–83. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1480.

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GPS (Global Positioning System) technology is the GPS car navigation technology with the rapid development of embedded technology, the automotive industry and the gradual rise of the market based on various types of GPS navigation products are more technically larger gap, a variety of GPS good and bad, regardless of the quality of the product. This paper analyzes the current status of the development of domestic and foreign car navigation systems, GPS car navigation system for the discussion in order to build a $ 3C2440 embedded development board as the core hardware system, built with WinCE p

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Volpi, Emilio, Luca Fanucci, Adolfo Giambastiani, et al. "A Mixed-Signal Embedded Platform for Automotive Sensor Conditioning." EURASIP Journal on Embedded Systems 2010, no. 1 (2010): 945646. http://dx.doi.org/10.1155/2010/945646.

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Seepold, Ralf, Natividad Martínez Madrid, Jesús Sáez Gómez-Escalonilla, and Alvaro Reina Nieves. "An Embedded Software Platform for Distributed Automotive Environment Management." EURASIP Journal on Embedded Systems 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/856962.

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Bello, Lucia Lo, Riccardo Mariani, Saad Mubeen, and Sergio Saponara. "Recent Advances and Trends in On-Board Embedded and Networked Automotive Systems." IEEE Transactions on Industrial Informatics 15, no. 2 (2019): 1038–51. http://dx.doi.org/10.1109/tii.2018.2879544.

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