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In this talk, I illustrate how to build human-inspired distributed multirobot algorithms through the example of pedestrian social navigation.
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"We want to make Santa Monica the leading example of pedestrian- and transit-oriented lifestyles in Southern California".
Figures 13(a) and 13(b) depict examples of pedestrians and nonpedestrians correctly classified.
It contains examples of pedestrians and nonpedestrians in various poses, shapes, sizes, occlusion status, and temperature conditions.
Let's say the system is a self-driving car and you feed it examples of pedestrians (such as a white person versus a black person versus a disabled person).
So there's always a chance that, if a pedestrian poem finds its way into the magazine, it'll be a stellar example of pedestrianism.
Then, the training set has been expanded to 4456 examples (1897 of pedestrian and 2559 of nonpedestrian) in order to cover different situations and temperature conditions and to avoid the overfitting.
For example, elimination of pedestrian-only routes may lead to more social opportunities, but also much higher emission exposure.
In simulations of simple hallway interactions, for example, lanes of pedestrians formed, as they do in real hallways (see video), the team reports online this week in the Proceedings of the National Academy of Sciences.
Particular attention is given in the example to pedestrian delays.
I would say this is a great example of someone (the pedestrian) stuck in her story about being right, resisting the obvious learning and setting herself up for an "accident" downstream.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com