Albert Dulian

Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks

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…