Calibration and validation of software performance models for pedestrian detection systems

Kiesel, Rainer; Streubühr, Martin; Haubelt, Christian; Lohlein, Otto; Teich, Jürgen

doi:10.1109/samos.2011.6045460

Cited by 3 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, calibration is the iterative process of comparing the model with real system, revising the model if necessary by, e.g., adjusting the model parameters, until the behavior of the model faithfully emulates that of the real system (Wigan 1972). In addition to the modeling effort required to develop the models of the system, their calibration requires a significant effort that cannot be neglected (Glenn et al 2004;Kiesel et al 2011).…”

Section: Further Issues and Limitationsmentioning

confidence: 99%

Modeling Objects with Uncertain Behaviors.

Muñoz

Karkhanis

Brand

et al. 2021

JOT

View full text Add to dashboard Cite

Modeling the behavior of complex systems that operate in real environments, deal with physical elements, or interact with humans is a challenging task. It involves the explicit representation of aspects of behavioral uncertainty that are inherent in the system, but generally neglected in software models. In this paper, we focus on the explicit representation of the behavior of objects of complex systems, considering their motivations, randomness, and the different types of underlying uncertainty that affect their actions. We show how such uncertain behaviors can be effectively modeled in UML and OCL, and how the specifications produced can be used to simulate and analyze these systems.

show abstract

Section: Further Issues and Limitationsmentioning

confidence: 99%

Modeling Objects with Uncertain Behaviors.

Muñoz

Karkhanis

Brand

et al. 2021

JOT

View full text Add to dashboard Cite

show abstract

“…In [17], we focused only on the calibration of a single core processor. This paper also addresses the calibration of interprocess communication and the integration of the performance model into an automotive development process.…”

Section: Related Workmentioning

confidence: 99%

Virtual prototyping for efficient multi-core ECU development of driver assistance systems

Kiesel

Streubühr

Haubelt

et al. 2012

2012 International Conference on Embedded Computer Systems (SAMOS)

Self Cite

View full text Add to dashboard Cite

In recent years, road vehicles have experienced an enormous increase in driver assistance systems such as traffic sign recognition, lane departure warning, and pedestrian detection. Cost-efficient development of electronic control units (ECUs) for these systems is a complex challenge. The demand for shortened time to market makes the development even more challenging and thus demands efficient design flows. This paper proposes a modelbased design flow that permits simulation-based performance evaluation of multi-core ECUs for driver assistance systems in a pre-development stage. The approach is based on a systemlevel virtual prototype of a multi-core ECU and allows the evaluation of timing effects by mapping application tasks to different platforms. The results show that performance estimation of different parallel implementation candidates is possible with high accuracy even in a pre-development stage. By adapting the best-fitting parallelization strategy to the final ECU, a reduction in the time to market period is possible. Currently, the design flow is being evaluated by Daimler AG and is being applied to a pedestrian detection system. Results from this application illustrate the benefits of the proposed approach.

show abstract

OPC (OLE for Process Control) based Calibration System for Embedded Controller

Cen¹,

Liu²,

Yi³

2012

JSW

View full text Add to dashboard Cite

During embedded software development of complex control system, the calibration is an important approach to obtain optimal parameters of embedded software. Currently, typical calibration systems are with poor adaptability for various controllers which have different communication interfaces and calibration protocols. In order to solve the problem, an improved architecture for embedded controller calibration system is proposed to support more communication buses and protocols. In this architecture, by introducing OPC (OLE for Process Control) technology, the host software of calibration system is separated into OPC server and client. The OPC server masks the difference of various calibration protocols and detail of communication devices, and provides a unified access interface for controller parameters. The OPC client calibrates and acquires the parameters though calling the interface provided by the OPC server. By the method, when communication device or calibration protocol is varied, only the corresponding OPC server is required to be replaced. Then the details of communication devices and calibration protocols are no longer considered while developing a calibration system, and the generality and openness of the calibration system are enhanced greatly. The calibration system corresponding to the architecture was applied to an engine controller to verify the effectiveness of the method presented.

show abstract

Calibration and validation of software performance models for pedestrian detection systems

Cited by 3 publications

References 16 publications

Modeling Objects with Uncertain Behaviors.

Modeling Objects with Uncertain Behaviors.

Virtual prototyping for efficient multi-core ECU development of driver assistance systems

OPC (OLE for Process Control) based Calibration System for Embedded Controller

Contact Info

Product

Resources

About