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 …

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 …

Multiple human tracking (MHT) is a fundamental task in many computer vision applications.
Appearance‐based approaches, primarily formulated on RGB data, are constrained and …

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 …

We present a real-time RGB-D based multiperson detection and tracking system suitable for
mobile robots and head-worn cameras. Our approach combines RGB-D visual odometry …

All currently used mobile robot platforms are able to navigate safely through their
environment, avoiding static and dynamic obstacles. However, in human populated …

We propose a novel approach to automatic detection and tracking of people taking different
poses in cluttered and dynamic environments using a single RGB-D camera. The original …

The success of intelligent mobile robots operating and collaborating with humans in daily
living environments depends on their ability to generalise and learn human movements, and …

This paper presents a new approach to real-time human detection and tracking in cluttered
and dynamic environments by integration of RGB and depth data. We introduce the notion of …

Real-time human detection is important for a wide range of applications. The task is highly
challenging due to occlusions, complex backgrounds, and variation of human poses. We …