Future Trends in Software Architectures for Automotive Systems

Voget, Stefan

doi:10.1007/978-3-540-76988-0_36

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Embedded software opens up significant opportunities to improve and differentiate vehicles, e.g. in terms of safety enhancements, infotainment, navigation as well as other types of comfort improvements of the passengers (Sedgwick 2015, Grimm 2003, Voget 2003.…”

Section: Software Development and Innovationmentioning

confidence: 99%

Software Development and Innovation – Exploring the Software Shift in Innovation in Swedish Firms

Andersson

2020

SSRN Journal

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Several scholars as well as industry professionals have claimed that there is a "softwarebiased shift" in the nature and direction of innovation in that software development is a core part of innovation activities in firms across a wide array of industries. Empirical firmlevel evidence of such a shift is still scant. We employ new and unique firm-level survey data on the frequency and nature of software development among firms in Sweden, matched with the Community Innovation Survey (CIS). We find robust evidence supporting a software-bias in innovation in that software development is associated with a higher likelihood of introducing innovations as well as higher innovation sales among firms in both manufacturing and services industries. Furthermore, this positive relationship is stronger for firms employing in-house software developers than for those that only use external developers, suggesting that there is a hierarchy but possibly also a complementarity between internal and external software development. We also find support for complementarity between software-based technology and human capital; the estimated marginal effect of software development on innovation is particularly strong for firms that combine in-house software development with a highly educated workforce in STEM as well as in other disciplines.

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Section: Software Development and Innovationmentioning

confidence: 99%

Software Development and Innovation – Exploring the Software Shift in Innovation in Swedish Firms

Andersson

2020

SSRN Journal

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“…A clear trend in the automotive industry is that more and more functionality is being built into the products, while development lead times must be shortened in order to be competitive on the global market [1]. Consequently, the need for testing of components and systems in realistic conditions is increasing, while the time available to do the testing is getting shorter.…”

Section: Introduction and Related Workmentioning

confidence: 99%

An Ad-Hoc Bluetooth Sensor Network for Automotive Testing

Eliasson

Deventer

Johanson³

2008

2008 5th IEEE Consumer Communications and Networking Conference

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In this paper, the feasibility of using a sensor network for automotive testing is investigated. Testing is becoming ever more important for the car industry, where the demands for quicker time-to-market and shortened development cycles are increasing. Car testing is time consuming, and is often performed in remote rural areas. Traditional methods include wiring up a vehicle with sensors connected to a data logging device. We envision that the use of wireless sensors can drastically decrease the time required to perform a set of test cases. A sensor network based on Bluetooth was used to validate our design approach. The network supports real-time monitoring of sensor data, and precludes the need of manually configuring each sensor node. Preliminary tests indicates that the proposed design is well suited for vehicle testing, due to its inherent support for ad-hoc networking and auto configuration of services.

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“…Due to the rapidly growing complexity of electronic control systems in modern vehicles, testing and verification of components becomes increasingly important [1,2]. To some extent this challenge can be met through virtual product development techniques and simulation, but there will always be a need for collection of measurement data about real components and systems, being operated under realistic conditions.…”

Section: Introductionmentioning

confidence: 99%

Improving Vehicle Diagnostics through Wireless Data Collection and Statistical Analysis

Johanson

Karlsson

2007

2007 IEEE 66th Vehicular Technology Conference

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Abstract-Collection and analysis of diagnostic data from electronic control units is of paramount importance in the automotive industry, both from a life cycle support perspective, and as a tool in the product development. For pre-series test vehicles, access to diagnostic data is crucial in order to be able to track problems as early as possible in the development process, preventing serious faults to pass undetected into production vehicles. However, systematic collection of diagnostic data from test vehicles is complicated by the fact that pre-series vehicles are frequently unavailable for diagnostic read-outs, while away on test expeditions in rural areas, or being otherwise inaccessible. In response, we propose a system for wireless read-out of diagnostic data, based on an embedded system installed in the test vehicles and a server component at the automotive company. Moreover, we present a number of computer-based tools for statistical analysis of diagnostic trouble codes, to aid engineers in processing the potentially very large amount of diagnostic data generated by the automated collection system. We strongly believe that wireless diagnostic collection systems, in combination with statistical analysis tools, will be a key component in meeting future demands on reduced development time, while the complexity of automotive electronics continue to grow. Initial results from our pilot trials with the tools described in this paper support this claim.

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Future Trends in Software Architectures for Automotive Systems

Cited by 6 publications

References 2 publications

Software Development and Innovation – Exploring the Software Shift in Innovation in Swedish Firms

Software Development and Innovation – Exploring the Software Shift in Innovation in Swedish Firms

An Ad-Hoc Bluetooth Sensor Network for Automotive Testing

Improving Vehicle Diagnostics through Wireless Data Collection and Statistical Analysis

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