Abstract — This article presents a cooperative approach for tracking a moving object by a team of mobile robots equipped with sensors, in a highly dynamic environment. The tracker’s core is a particle filter, modified to handle, within a single unified framework, the problem of complete or partial occlusion for some of the involved mobile sensors, as well as inconsistent estimates in the global frame among sensors, due to observation errors and/or self-localization uncertainty. We present results supporting our approach by applying it to a team of real soccer robots tracking a soccer ball. I. INTRODUCTION AND RELATED WORK This paper deals with cooperative tracking of an object by a team of robots. Object tracking is a field of research with...
This thesis investigates two important problems for intelligent robotic interaction with other agent...
In many autonomous robot applications robots must be capa-ble of estimating the positions and motion...
Abstract: This paper proposes a Particle-Filter approach and a set of motion strategies to cooperati...
This article presents a cooperative approach for tracking a moving spherical object in 3D space by a...
This article presents a cooperative approach for tracking a moving spherical object in 3D space by a...
Robot soccer is a challenging domain for sensor fusion and object tracking techniques, due to its te...
Object tracking is a fundamental skill of mobile robotics. For a multi-robot system the object track...
A method for a team of mobile robots to cooperatively track a n described. We address the main limit...
Abstract. We introduce a multi-robot/sensor cooperative object detection and tracking method based o...
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use ob...
Abstract—An improved particle-filter algorithm is proposed to track a randomly moving object. The al...
Tracking multiple players is crucial to analyze soccer videos in real time. Yet, rapid illumination ...
This paper presents an asynchronous particle filter algorithm for mobile robot position tracking, ta...
Abstract — This paper presents an asynchronous particle filter algorithm for mobile robot position t...
Abstract-Mobile robots and vehicles are increasingly used in dynamic environments populated by human...
This thesis investigates two important problems for intelligent robotic interaction with other agent...
In many autonomous robot applications robots must be capa-ble of estimating the positions and motion...
Abstract: This paper proposes a Particle-Filter approach and a set of motion strategies to cooperati...
This article presents a cooperative approach for tracking a moving spherical object in 3D space by a...
This article presents a cooperative approach for tracking a moving spherical object in 3D space by a...
Robot soccer is a challenging domain for sensor fusion and object tracking techniques, due to its te...
Object tracking is a fundamental skill of mobile robotics. For a multi-robot system the object track...
A method for a team of mobile robots to cooperatively track a n described. We address the main limit...
Abstract. We introduce a multi-robot/sensor cooperative object detection and tracking method based o...
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use ob...
Abstract—An improved particle-filter algorithm is proposed to track a randomly moving object. The al...
Tracking multiple players is crucial to analyze soccer videos in real time. Yet, rapid illumination ...
This paper presents an asynchronous particle filter algorithm for mobile robot position tracking, ta...
Abstract — This paper presents an asynchronous particle filter algorithm for mobile robot position t...
Abstract-Mobile robots and vehicles are increasingly used in dynamic environments populated by human...
This thesis investigates two important problems for intelligent robotic interaction with other agent...
In many autonomous robot applications robots must be capa-ble of estimating the positions and motion...
Abstract: This paper proposes a Particle-Filter approach and a set of motion strategies to cooperati...