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 …

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 …

This paper addresses a radio-frequency identification (RFID)-based mobile robot
localization which adopts RFID tags distributed in a space. Existing stand-alone RFID …

This paper focuses on the design of a dynamic Petri recurrent fuzzy neural network
(DPRFNN), and this network structure is applied to the path-tracking control of a …

Data fusion is an important issue for object tracking in autonomous systems such as robotics
and surveillance. In this paper, we present a multiple-object tracking system whose design is …

In this paper, we consider the problem of mobile location estimation in a rough wireless
environment. To mitigate the non-line-of-sight (NLOS) effects, the transition between the line …

In this paper, we fuse the Kalman filter (KF) that is optimal but not robust with the unbiased
finite-impulse response (UFIR) filter which is more robust than KF but not optimal. The fusion …

A regular ceiling is common in many offices. The plentiful parallels and corner points on the
ceiling can serve as features for visual positioning for an indoor mobile robot. Based on the …

Viewpoint calibration is a method to manipulate hand–eye for generating calibration
parameters for active viewpoint control and object grasping. In robot vision applications …

Automated motion detection has become an increasingly important subject in traffic
surveillance systems. Video communication in traffic surveillance systems may experience …