This article provides an elaborate overview of current research in extended object tracking.
We provide a clear definition of the extended object tracking problem and discuss its …

This paper addresses the problem of detecting people in two dimensional range scans.
Previous approaches have mostly used pre-defined features for the detection and tracking of …

This study addresses the development of algorithms for multiple target detection and
tracking in the framework of sensor fusion and its application to autonomous navigation and …

A perception system for pedestrian detection in urban scenarios using information from a
LIDAR and a single camera is presented. Two sensor fusion architectures are described, a …

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 …

This paper presents a sensorial-cooperative architecture to detect, track and classify entities
in semi-structured outdoor scenarios for intelligent vehicles. In order to accomplish this task …

This paper presents a novel human detection method based on a Bayesian fusion approach
using laser range data and camera images. Laser range data analysis groups data points …

Reliable detection and classification of vulnerable road users constitute a critical issue on
safety/protection systems for intelligent vehicles driving in urban zones. In this subject, most …

This paper presents a characterization study of the Hokuyo URG-04LX scanning laser
rangefinder (LRF). The Hokuyo LRF is similar in function to the Sick LRF, which has been …

In recent years, great efforts have been made to develop unmanned navigation systems for
Autonomous Surface Vehicles (ASVs), while further improvements are still required for ASVs …