Development of an automated testing system for vehicle infotainment system |
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Authors: | Yingping Huang Ross McMurran Mark Amor-Segan Gunwant Dhadyalla R Peter Jones Peter Bennett Alexandros Mouzakitis Jan Kieloch |
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Affiliation: | 1. Warwick Manufacturing Group, University of Warwick, Coventry, CV4 7AL, UK 2. School of Engineering and IARC, University of Warwick, Coventry, UK 3. Jaguar Land Rover, Engineering Centre, Coventry, UK
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Abstract: | A current premium vehicle is implemented with a variety of information, entertainment, and communication functions, which are generally referred as an infotainment system. During vehicle development, testing of the infotainment system at an overall level is conventionally carried out manually by an expert who can observe at a customer level. This approach has significant limitations with regard to test coverage and effectiveness due to the complexity of the system functions and human’s capability. Hence, it is highly demanded by car manufacturers for an automated infotainment testing system, which replicates a human expert encompassing relevant sensory modalities relating to control (i.e., touch) and observation (i.e., sight and sound) of the system under test. This paper describes the design, development, and evaluation of such a system that consists of simulation of vehicle network, vision-based inspection, automated navigation of features, random cranking waveform generation, sound detection, and test automation. The system developed is able to: stimulate a vehicle system across a wide variety of initialisation conditions, exercise each function, check for system responses, and record failure situations for post-testing analysis. |
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