| Autor: |
Bergin, Dennis, Carden, William (Leighton), Huynh, Kevin, Parikh, Parth, Bounker, Paul, Gates, Burhman, Whitt, John |
| Předmět: |
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| Zdroj: |
ITEA Journal of Test & Evaluation; Dec2023, Vol. 44 Issue 4, p1-1, 1p, 5 Color Photographs |
| Abstrakt: |
While the use of digital twins for developing and testing of systems and subsystems is fairly common practice, the use of digital twins for the development and testing of autonomous systems is a relatively emerging concept. In reality, what is being tested is the machine's ability to perform specific functions. Some of these functions are done in a similar manner as humans do them, while others use a different approach. For example, building machine versions of human anatomy, senses, intuition, and learning capabilities is a difficult task. Therefore, the digital twins must be focused on modeling and simulating the environment not so much as the human perceives it, but as the machine perceives it. This paper goes into detail on testing autonomous system task performance in the context of driving a Palletized Load System (PLS). This paper goes into detail on the considerations and developments that allow testers to inject faults, weather, and obstacles to stimulate the autonomy under test designed to replace the human driver. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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