LIDAR and vision‐based pedestrian detection system
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 …
LIDAR and a single camera is presented. Two sensor fusion architectures are described, a …
Particle filtering for multisensor data fusion with switching observation models: Application to land vehicle positioning
This paper concerns the sequential estimation of a hidden state vector from noisy
observations delivered by several sensors. Different from the standard framework, we …
observations delivered by several sensors. Different from the standard framework, we …
Large-scale mapping in complex field scenarios using an autonomous car
In this paper, we present an end-to-end framework for precise large-scale mapping with
applications in autonomous driving. In special, the problem of mapping complex …
applications in autonomous driving. In special, the problem of mapping complex …
Range-only slam for robots operating cooperatively with sensor networks
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 …
and can simultaneously localize itself as well as locate the landmarks. This modality is …
Mapping and localization using GPS, lane markings and proprioceptive sensors
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 …
different solutions exist, most of them rely on the use of high-end sensors. This paper …
Using 3d laser range data for slam in outdoor environments
C Brenneke, O Wulf, B Wagner - Proceedings 2003 ieee/rsj …, 2003 - ieeexplore.ieee.org
Robot navigation in poorly structured and uneven outdoor environments is an unsolved
problem. Thus we present a SLAM (simultaneous localization and mapping) approach that …
problem. Thus we present a SLAM (simultaneous localization and mapping) approach that …
Extracting general-purpose features from LIDAR data
The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental
component of feature-based mapping and SLAM systems. Existing detectors tend to exploit …
component of feature-based mapping and SLAM systems. Existing detectors tend to exploit …
Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion–Part A: Tree detection
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 …
as they are nominally planted in straight and parallel rows. This paper presents a novel tree …
Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion–Part B: Mapping and localisation
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 …
the mobile robot to efficiently estimate its position and orientation while moving between tree …
Exploiting LIDAR-based features on pedestrian detection in urban scenarios
C Premebida, O Ludwig… - 2009 12th International …, 2009 - ieeexplore.ieee.org
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 …
safety/protection systems for intelligent vehicles driving in urban zones. In this subject, most …