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A Closed Loop Method for Vehicle Instrument Cluster Test Automation
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 2, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Instrument Panel Cluster (IPC), is a key ECU in vehicles. As IPC is a visual product, testing the software features of IPC is highly manual effort. Software Testing constitutes for approx. 35% of the total Software Development Life Cycle (SDLC). High focus on quick to market, shorter SDLC coupled with manual validation environment poses a challenge of increasing testing efficiency and improving software quality. This challenge drove the need to investigate a solution to automate the testing process and cut down the huge manual effort that goes into validating an Instrument Panel Cluster (IPC) software. The proposed intrusive and non-intrusive approaches to automate the testing process of IPC software employs a Frame Grabbing technique for the former approach and a Camera based technique for the latter. Both the approaches are robust, reliable, and scalable and covers the major portion of Vehicle Instrument cluster test scenarios. The paper captures the results, advantages and the constraints in the implementation of both the approaches. The comprehensive evaluation of the proposed techniques will help in identifying the right approach for the need, satisfying necessary criteria for automation. The paper aims to provide a best possible solution to optimize the tedious efforts which goes into validating an Instrument Panel Cluster (IPC) software and in turn enables a flawless software delivery within the stipulated timeline.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
- In-Sight Vision Series Systems Data Sheet - Cognex High Resolution Camera Setup.
- “Getting Started with Insight” - Cognex Systems Insight Explorer User manual.
- “Programming with CAPL - CAN Newsletter,” Vector CANtech, Inc. Suite550, December 14, 2004.
- Epiphan Systems INC - Frame Grabber User Guide.
- da Silva Lopes, J., Moreira Marques, C., de Moura Vasconcelos, G., Barreto Vieira, R. et al., "Automated Tests for automotive Instrument Panel cluster Based on Machine Vision," SAE Technical Paper 2016-36-0235,2016, 10.4271/2016-30-0235
- “Machine Vision Testing of Instrumentation Clusters with LABCAR,” http://www.etas.com/data/group_subsidiaries_india/LABCAR_Machine_Vision_HiL.pdf, ETAS/STI3|June 17, 2014.