A better intelligence test for autonomous driving systems

In 2015, Elon Musk guessed that the industry should expect fully autonomous vehicles by 2018—but that never happened. In 2014, Nissan promised multiple, commercially viable driverless vehicles on the market by 2020. While the COVID-19 pandemic did not help the situation, this is another unmet promise. Why do auto manufacturers have to keep moving the goalposts on driverless vehicles? According to a research paper recently published in Nature Communications by the Center for Connected and Automated Transportation (CCAT), one of the obstacles that has hindered the development of autonomous vehicles comes down to a severe inefficiency in the way autonomous vehicle testing and evaluation is performed.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3rn0kKr

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