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José Carlos del Toro Lasanta

dblp:79/1028 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Robot navigation and mapping · 63% Representation and self-supervised learning · 29% 3D vision · 8%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Representation and self-supervised learning › representation learning
feature extraction
0.112006
Feature Extraction from Laser Scan Data based on Curvature Estimation for Mobile Robotics · ICRA 2006
Robotics › Robot navigation and mapping › mobile robot perception
LIDAR feature extraction
0.112006
Feature Extraction from Laser Scan Data based on Curvature Estimation for Mobile Robotics · ICRA 2006
Computer vision › 3D vision
stereo vision
0.012005
Data-and Model-driven Attention Mechanism for Autonomous Visual Landmark Acquisition · ICRA 2005

Methods — techniques the papers use, named apart from their topics

curvature estimation · 0.1breakpoint detection · 0.1preattentive saliency computation · 0.1model-driven attention selection · 0.1
YearPublicationVenuePosition
2006 Feature Extraction from Laser Scan Data based on Curvature Estimation for Mobile Robotics
abstract
This paper presents a geometrical feature detection system to use with conventional 2D laser rangefinders. This system consists of three main modules: data acquisition and pre-processing, rupture and breakpoint detection and feature extraction. The novelty of this system is a new efficient approach for natural feature extraction based on curvature estimation. This approach permits to extract and characterise line segments, corners and curve segments from the laser scan. Experimental results show that the proposed approach is very fast and permit to verify its effectiveness in indoor and outdoor environments
Pedro Núñez Trujillo, Ricardo Vázquez Martín, José Carlos del Toro Lasanta, Antonio Bandera, Francisco Sandoval 0001
ICRA3
2006 Hybrid navigation guidance for intelligent mobiles
abstract
This paper presents a hybrid layered architecture for intelligent transportation. The system relies on integrating odometry, DGPS and compass readings for localization and deliberative planning, whereas the path is tracked at low level by means of a CBR based reactive navigation algorithm capable of adapting to the vehicle kinematics and environment conditions through learning. The system has been successfully tested using a 4-wheeled outdoors robot Pioneer AT
Ricardo Vázquez Martín, Eduardo Javier Ferez, Cristina Urdiales, José Carlos del Toro Lasanta, Francisco Sandoval 0001
VTC Spring4
2005 Data-and Model-driven Attention Mechanism for Autonomous Visual Landmark Acquisition
abstract
This paper presents a visual attention mechanism for the acquisition of landmarks in an arbitrary scene. The proposed mechanism consists of two consecutive selection stages. The first one employs classical preattentive saliency computa tions to select a reduced set of interest regions from the whole input image (data-driven stage). The second stage selects from the output of the first selection stage the region that can be considered as a potential landmark (model-driven stage). This potential landmark is the input of the attentive stage, that must characterize it and finally determine if this object is a real landmark. The used imaging sensor is a stereo vision system which is capable of providing depth data as well as color images. This stereo vision system is mounted on an autonomous mobile robot and serves map-building and localisation purposes. We present results achieved by applying the proposed visual attention scheme to on-line acquired stereo pairs of indoor and outdoor scenes.
Ricardo Vázquez Martín, José Carlos del Toro Lasanta, Antonio Bandera, Francisco Sandoval 0001
ICRA2