OSEK/VDX - operating systems for automotive applications

Zahir, A. A. M.; Palmieri, P.

doi:10.1049/ic:19981075

Cited by 12 publications

(6 citation statements)

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“…However, the tasks of localization and vehicle control in the decentralized real-time embedded system are schedulable within the execution-time constraint since the distributed ECUs run relatively few tasks and operate with the OSEK-OS which is a standard RTOS for automotive embedded software [47,48] (Fig. 13).…”

Section: Implementation Results 1) Development Process and Softwarmentioning

confidence: 99%

Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture

Kim

et al. 2015

IEEE Trans. Ind. Electron.

211

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Part I of this paper proposed a development process and system platform for the development of autonomous cars based on distributed system architecture. The proposed development methodology enabled the design and development of an autonomous car with benefits such as a reduction of computational complexity, fault-tolerant characteristics, and system modularity. In present paper (Part II), a case study of the proposed development methodology are addressed by showing the implementation process of an autonomous driving system. In order to describe the implementation process intuitively, core autonomous driving algorithms (localization, perception, planning, vehicle control, and system management) are briefly introduced and applied to the implementation of an autonomous driving system. We are able to examine the advantages of a distributed system architecture and the proposed development process by conducting a case study on the autonomous system implementation. The validity of the proposed methodology is proved through the autonomous car, A1 that won the 2012 Autonomous Vehicle Competition in Korea with all missions completed.

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Section: Implementation Results 1) Development Process and Softwarmentioning

confidence: 99%

Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture

Kim

et al. 2015

IEEE Trans. Ind. Electron.

211

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“…All the objects are required to be built during build time and no dynamic objects during runtime will be created. This leads to minimizing the uncertainty during runtime and promote a safer system [27], [29]. There is a handful of industrial RTOS compliant to OSEK/VDK standard as listed in Table 4.…”

Section: Automotive Industrymentioning

confidence: 99%

Embedded operating system and industrial applications: a review

et al. 2021

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The complexity of an embedded system is directly proportional to the requirements of industrial applications. Various embedded operating system (OS) approaches had been built to fulfil the requirements. This review aims to systematically address the similarities and differences of the embedded OS solutions and analyse the factors that will influence decision-making when choosing what solution to use in the applications. This paper reviews three standard solutions; super loop, cooperative, and real-time operating system (RTOS). These are commonly used in industrial applications. By grouping the tasks in the foreground and background execution region, the concept and working principle of each of them are reviewed. The unique feature of RTOS in the context of task switching was used to define the deterministic characteristic of meeting the deadlines. The importance and performance of this characteristic is addressed and compared among various solutions in this paper. Subsequently, this paper reviewed the internet of things (IoT) requirements, automotive, medical and consumer electronics industry. The influential factors on choosing the right embedded OS to be used are extracted based on the requirements. They are reviewed in the perspective of memory footprint, regulated standards, cost-effectiveness, time effectiveness, and scalability.

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“…Case study 3 investigated the impact on the execution time when tasks are executed independently with interactions under an operating system. The OSEK [10] operating system was employed to schedule the four windows (Figure 12). The tasks were defined as nonpreemptable periodic tasks with a period of 5ms.…”

Section: Index Of Inputsmentioning

confidence: 99%

Impact of software architecture on execution time: a power window TACLeBench case study

Meulenaere

Mercelis

et al. 2019

IJGUC

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Timing analysis is used to extract the timing properties of a system. Various timing analysis techniques and tools have been developed over the past decades. However, changes in hardware platform and software architecture introduced new challenges in timing analysis techniques. In our research, we aim to develop a hybrid approach to provide safe and precise timing analysis results. In this approach, we will divide the original code into smaller code blocks, then construct a timing model based on the information acquired by measuring the execution time of every individual block. This process can introduce changes in the software architecture. In this paper we use a multicomponent benchmark to investigate the impact of software architecture on the timing behaviour of a system.

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OSEK/VDX - operating systems for automotive applications

Cited by 12 publications

References 0 publications

Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture

Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture

Embedded operating system and industrial applications: a review

Impact of software architecture on execution time: a power window TACLeBench case study

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