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- W3085365512 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." @default.
- W3085365512 created "2020-09-21" @default.
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- W3085365512 date "2020-01-01" @default.
- W3085365512 modified "2023-09-26" @default.
- W3085365512 title "How to Conduct Experiments with a Real Car? Experiences and Practical Guidelines" @default.
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- W3085365512 doi "https://doi.org/10.1007/978-3-030-59155-7_37" @default.
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