29 lines
1.5 KiB
Markdown
29 lines
1.5 KiB
Markdown
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---
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categories:
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date: 2023-05-11T20:31:43+02:00
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description:
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layout: event-talk
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slug:
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tags:
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title: "Rix Groenboom - Validation of AI: Towards a Driving Exam for OpenPilot"
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persons:
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- rix-groenboom
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presentation:
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filename: 2023-05-11-rix-groenboom-validation-of-ai-towards-a-driving-exam-for-openpilot.pdf
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recording:
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platform: youtube
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url: https://www.youtube.com/watch?v=ik9XV2NZv9s
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---
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## Abstract
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We present practical results of testing the OpenPilot ADAS software (the core of the Comma3 [https://comma.ai/]). OpenPilot consists of C/C++ and Python code to handle most of the logic involved in driving a car. Also, Machine Learning models are employed for various detection tasks, such as road line detection.
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To test the functional behavior (“Is OpenPilot able to handle certain traffic situations?”), we are implementing a framework that generates test scenarios from traffic laws. For the non-functional aspect, we have looked at the robustness of the implemented ML models, as part of analysis for Trustworthy AI (“Can OpenPilot be fooled by modifying the input images?”).
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We will present the outcomes, discuss the results, and give pointers for further research on ADAS testing.
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## Biography
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Rix Groenboom leads the research group New Business & ICT within the Hanze University of Applied Science; with innovation in Artificial Intelligence, Connectivity (5G), Cyber Security, and Smart Industry. He has over 25 years of experience in SW quality in academic, commercial, and industrial environments.
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