We present Monte Carlo methods for multi-target tracking and data association. The
methods are applicable to general nonlinear and non-Gaussian models for the target …

The detection and tracking of moving objects is an essential task in robotics. The CMU‐RI
Navlab group has developed such a system that uses a laser scanner as its primary sensor …

Pedestrians are the most vulnerable participants in urban traffic. The first step toward
protecting pedestrians is to reliably detect them in a real-time framework. In this paper, a …

Laser-based people tracking systems have been developed for mobile robotic, and
intelligent surveillance areas. Existing systems rely on laser point clustering method to …

Several on-line identification approaches have been proposed to identify parameters and
evolution models of engineering systems and structures when sequential datasets are …

Mobile robot localization is taken into account as one of the most important topics in robotics.
In this paper, the localization problem is extended to the cases in which estimating the …

Pedestrian safety is a primary traffic issue in urban environment. This article deals with the
detection of pedestrians by means of a laser sensor. This sensor, placed on the front of a …

In this paper, we describe and evaluate an original Monte Carlo JPDAF for tracking
interacting autonomous targets in a cluttered environment. The originality of the proposed …

Object tracking and classification serve as basic components for the different perception
tasks of autonomous robots. They provide the robot with the capability of class-aware …

Laser based people tracking systems have been developed for mobile robotics and
intelligent surveillance areas. Existing systems rely on simple laser point clustering methods …