Abstract
Higher computational power, new dimensions of interconnectivity and modern machine learning techniques are necessary for building a fully autonomous car, but exhibit an enormous technical complexity. Research about new approaches and technology for handling this complexity raises a problem: On the one side, researchers advocate transitions and replacements for the current systems mainly without deploying them in real cars on the streets. On the other side applying theoretical approaches without clear evidence of their practical benefits is risky for the practitioners. As a solution to close this gap, researchers should bring their ideas more often into physical cars and support their proposals with measurements from realistic experiments.
With this paper, we share our insights from an academic perspective about connecting scientific prototypes with a real car. (1) We discuss three interface designs for setups with differing connectivity to a running car; (2) We provide a checklist for planning and organizing real car experiments including a discussion of involved trade-offs; (3) We give practical advice and identify best practices learned from our own experiments inside a car. In sum, we demonstrate that even with a short budget and a small team size it still is possible to bring prototypes into real cars.
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A Key-Questions from the Paper in Condensed Form
A Key-Questions from the Paper in Condensed Form
1.1 A.1 Candidate Interfaces between Setup and Car
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What kind of interaction from the setup with the car is required?
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What sensor data does the setup require?
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What makes the deployment inside a car different from without a car?
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How does the driver interact with the setup?
1.2 A.2 Checklist of Organizing Experiments
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Is there need for a co-driver to assist with the experiments?
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Does the experiment require additional documentation, e.g. by an additional video from outside the car?
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Is some special car model, e.g. with a specific sensor, required?
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Does the car need to be permanently modified?
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What characteristics need to be present on the street?
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What interaction with other traffic participants is needed?
1.3 A.3 Best Practices and General Advice
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Has the setup been tested extensively before the experiment?
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Does the schedule contain regular breaks?
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Does every experiment have limits (time, speed, location, etc.)?
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Does the setup provide a debug interface?
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Are there replacement batteries for the setup?
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How is the battery of the car regularly recharged?
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Hutzelmann, T., Mauksch, D., Pretschner, A. (2020). How to Conduct Experiments with a Real Car? Experiences and Practical Guidelines. In: Muccini, H., et al. Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-59155-7_37
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DOI: https://doi.org/10.1007/978-3-030-59155-7_37
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