Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

The assumption of scene rigidity is typical in SLAM algorithms. Such a strong assumption
limits the use of most visual SLAM systems in populated real-world environments, which are …

We present an ample description of a socially compliant mobile robotic platform, which is
developed in the EU-funded project SPENCER. The purpose of this robot is to assist, inform …

Thanks to the efforts of the robotics and autonomous systems community, the myriad
applications and capacities of robots are ever increasing. There is increasing demand from …

Recent technological advances enabled modern robots to become part of our daily life. In
particular, assistive robotics emerged as an exciting research topic that can provide …

This paper presents an efficient and safe method to avoid static and dynamic obstacles
based on LiDAR. First, point cloud is used to generate a real-time local grid map for obstacle …

This paper presents a system for online learning of human classifiers by mobile service
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …

Tracking in urban street scenes plays a central role in autonomous systems such as self-
driving cars. Most of the current vision-based tracking methods perform tracking in the image …

We present a new approach to long-term mobile robot mapping in dynamic indoor
environments. Unlike traditional world models that are tailored to represent static scenes …