Abstract: Self-localization and tracking a moving object is a key technology for service robot interactive applications. Most tracking algorithms focus on�...
Our experimental results show that the robot with the proposed algorithm can localize itself and track the frequently occluded object. Compared with the�...
Therefore, this paper presents a novel laser range finder based partially observable moving object tracking and self-localization algorithm for interactive�...
Abstract—Self-localization and tracking a moving object is a key technology for service robot interactive applications. Most tracking algorithms focus on�...
This paper presents a novel laser range finder based partially observable moving object tracking and self-localization algorithm for interactive robot�...
Self-localization and tracking a moving object is a key technology for service robot interactive applications. Most tracking algorithms focus on how to�...
Therefore, this paper presents a novel laser range finder based partially observable moving object tracking and self-localization algorithm for interactive�...
We adopt stream functions and Rao-Blackwellised particle filter (RBPF) to predict where the partially observable moving object will go in previously mapped�...
Our Rao-Blackwellised particle filter (RBPF) based tracking algorithm adopts the stream field based motion model. • The robot can localize.
Missing: Self- | Show results with:Self-
self-localization and partially observable moving object tracking (POMOT) algorithm is proposed in [8]. This algorithm is designed for a static and known�...