Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks
Albert Dulian John C. Murray Albert Dulian John C. Murray
As urban environments manifest high levels of complexity it is of vital importance that safety systems embedded within autonomous vehicles (AVs) are able to accurately anticipate short-term future motion of nearby agents. This problem can be further understood as generating a sequence of coordinates describing the future motion of the tracked agent. Various proposed approaches demonstrate signific...