Autonomous ground vehicles have evolved a lot in the past decade. Several prototypes
have been presented and tested in different conditions. A major challenge for such vehicles …

Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …

Object recognition is a critical next step for autonomous robots, but a solution to the problem
has remained elusive. Prior 3D-sensor-based work largely classifies individual point cloud …

This paper presents a novel approach to detect and track people and cars based on the
combined information retrieved from a camera and a laser range scanner. Laser data points …

A mobile robot needs to perceive the motions of external objects to perform tasks
successfully in a dynamic environment. We propose a set of algorithms for multiple motion …

We consider a semi-supervised approach to the problem of track classification in dense
three-dimensional range data. This problem involves the classification of objects that have …

In this paper we address the problem of classifying objects in urban environments based on
laser and vision data. We propose a framework based on Conditional Random Fields …

Human-robot interaction and safe operation requires human detection capability from a
mobile robot. This paper presents a novel algorithm for detecting and tracking walking …

This paper presents a novel algorithm, based upon the dependent Dirichlet process mixture
model (DDPMM), for clustering batch-sequential data containing an unknown number of …

In this paper, we address the problem of integrating new classes on the fly into on-line
classification systems. The main focus is on visual inspection tasks, although the concepts …