Classifying traffic signs is an indispensable task for autonomous driving systems. Depending
on the country, traffic signs possess a wide variability in their visual appearance making it …

We consider an exciting new computing paradigm called cloud-backed swarm cognition. It
refers to an envisioned future where (mobile) edge devices work together collaboratively to …

Following the trend of previous years, the number of devices, and hence the traffic in cellular
networks is increasing. Moreover, new applications with stringent requirements are …

Traffic sign recognition is an important method that improves the safety in the roads, and this
system is an additional step to autonomous driving. Nowadays, to solve traffic sign …

Common Traffic Sign Recognition (TSR) systems usually neglect additional traffic signs and
do not evaluate those signs. This is a problem because such additional signs can provide …

Traffic sign recognition is an important method that improves the safety in the roads, and this
system is an additional step to autonomous driving. Nowadays, to solve traffic sign …

This PhD thesis focuses on developing a path tracking approach based on visual perception
and localization in urban environments. The proposed approach comprises two systems …

Traffic sign recognition is an important method that improves the safety in the roads, and this
system is an additional step to autonomous driving. Nowadays, to solve traffic sign …

It is difficult for computers to extract the contents of a digital image. An image is only a matrix
of values for them and the way a human recognizes the structure of an image is significantly …