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 …

This paper concerns the sequential estimation of a hidden state vector from noisy
observations delivered by several sensors. Different from the standard framework, we …

In this paper, we present an end-to-end framework for precise large-scale map** with
applications in autonomous driving. In special, the problem of map** complex …

Estimating the pose in real-time is a primary function for intelligent vehicle navigation. Whilst
different solutions exist, most of them rely on the use of high-end sensors. This paper …

A mobile robot we have developed is equipped with sensors to measure range to landmarks
and can simultaneously localize itself as well as locate the landmarks. This modality is …

Accurate mobile robot localisation in orchards relies on precise orchard maps which help
the mobile robot to efficiently estimate its position and orientation while moving between tree …

Trees in orchards are natural landmarks providing suitable cues for mobile robot localisation
as they are nominally planted in straight and parallel rows. This paper presents a novel tree …

The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental
component of feature-based map** and SLAM systems. Existing detectors tend to exploit …

Robot navigation in poorly structured and uneven outdoor environments is an unsolved
problem. Thus we present a SLAM (simultaneous localization and map**) approach that …

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 …