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Autonomous Vehicles to predict pedestrian movement

pedestrians-umichUniversity of Michigan researchers are teaching self-driving cars to recognize and predict pedestrian movements.

Prior work in this area has typically only looked at still images.

https://egfcvm47j5c.exactdn.com/wp-content/uploads/2019/02/AVs-predicting-ped-movements.mp3?_=1

Predictive power requires the network to look into the minutiae of human movement: the pace of a human’s gait (periodicity), the mirror symmetry of limbs, and the way in which foot placement affects stability during walking.

One researcher said “If a pedestrian is playing with their phone, you know they’re distracted” “Their pose and where they’re looking is telling you a lot about their level of attentiveness. It’s also telling you a lot about what they’re capable of doing next.”

We wonder if that will have a random generation movement factor for children or drunks.

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