Intelligent mobile robots that can move independently were laid out in the real world around
100 years ago during the second world war after advancements in computer science. Since …

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 …

We present ARTrackV2 which integrates two pivotal aspects of tracking: determining where
to look (localization) and how to describe (appearance analysis) the target object across …

There is a large variety of trackers, which have been proposed in the literature during the
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …

We address one of the crucial aspects necessary for safe and efficient operations of
autonomous vehicles, namely predicting future state of traffic actors in the autonomous …

The Kalman filter (KF) has received a huge interest from the industrial electronics community
and has played a key role in many engineering fields since the 1970s, ranging, without …

To date, most linear and nonlinear Kalman filters (KFs) have been developed under the
Gaussian assumption and the well-known minimum mean square error (MMSE) criterion. In …

The particle filter (PF) provides a kind of novel technique for estimating the hidden states of
the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from …

Since space intelligent robots are not restricted by physiological conditions, it is an attractive
choice for the development of automation technology to use them for space exploration and …

Infrared (IR) spectral imaging sensing is a powerful visual technique for industrial material
recognition in robot vision systems. However, the imaging sensing data have issues of …