Self-driving cars 'learn' to predict pedestrian movement
Data collected by vehicles through cameras, LiDAR and global positioning system (GPS) allowed the researchers at the University of Michigan in the US to capture video snippets of humans in motion and then recreate them in three-dimensional (3D) computer simulation.
With that, they have created a "biomechanically inspired recurrent neural network" that catalogs human movements.
Published Date: Feb 13th, 2019 03:15 PM | Updated Date: Feb 13, 2019 03:15 PM IST
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