Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

Understanding the scene in which an autonomous robot operates is critical for its competent
functioning. Such scene comprehension necessitates recognizing instances of traffic …

The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Semantic segmentation is a challenging problem in computer vision. Many applications,
such as autonomous driving and robot navigation with urban road scene, need accurate and …

Distress segmentation assigns each pixel of a pavement image to one distress class or
background, which provides a simplified representation for distress detection and …

In this paper we present Semantic Stixels, a novel vision-based scene model geared
towards automated driving. Our model jointly infers the geometric and semantic layout of a …

Interpreting the semantics and motion of objects are prerequisites for autonomous robots
that enable them to reason and operate in dynamic real-world environments. Existing …

In public places, even if pedestrians do not have their mobile devices connected with any
WiFi access point (AP), WiFi probe requests will be broadcast, so that WiFi sniffers can be …

As a vital task in cancer therapy, accurately predicting the treatment outcome is valuable for
tailoring and adapting a treatment planning. To this end, multi-sources of information …