Research in the field of social robotics is allowing service robots to operate in environments
with people. In the aim of realizing the vision of humans and robots coexisting in the same …

Autonomous vehicles are at the forefront of future transportation solutions, but their success
hinges on reliable perception. This review paper surveys image processing and sensor …

The ability to capture and quantify any aspect of daily life via sensors, enabled by the
Internet of Things (IoT), data have become one of the most important resources of the 21st …

Pedestrians are particularly vulnerable road users in urban traffic. With the arrival of
autonomous driving, novel technologies can be developed specifically to protect …

The topic of study, Intelligent Transportation System (ITS), focuses on using vehicle-to-
environment communication to address severe traffic problems, such as safety and …

The ability to reliably determine its own position, as well as the position of surrounding
objects, is crucial for any autonomous robot. While this can be achieved with a certain …

We present a novel hybrid learning method, named HyLEAR, for solving the collision-free
navigation problem for self-driving cars in POMDPs. HyLEAR leverages interposed learning …

In this study, the finite-time consensus problem of second-order multi-agent systems via
event-triggered impulsive control is investigated. We leverage a novel approach that …

This paper provides an in-depth study and analysis of human artistic poses through
intelligently enhanced multimodal artistic pose recognition. A complementary network model …

Pedestrians and cyclists are some of the most vulnerable, but also least predictable traffic
participants. Due to their ability to move in urban environments with high degrees of freedom …