Exploració per autor "Andrade-Cetto, Juan"
Ara es mostren els items 21-40 de 97
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Dense outdoor 3D mapping and navigation with Pose SLAM
(Escuela Superior de Ingenieros de la Universidad de Sevilla, 2011)
Text en actes de congrés
Accés obertPose SLAM is the variant of SLAM where only the robot trajectory is estimated and in which landmarks are solely used to compute relative constraints between robot poses. In previous work, we have developed efficient methods ... -
Detection performance evaluation of boosted random Ferns
(Springer, 2011)
Text en actes de congrés
Accés obertWe present an experimental evaluation of Boosted Random Ferns in terms of the detection performance and the training data. We show that adding an iterative bootstrapping phase during the learning of the object classifier, ... -
Dual-branch CNNs for vehicle detection and tracking on LiDAR data
(2021-11-01)
Article
Accés obertWe present a novel vehicle detection and tracking system that works solely on 3D LiDAR information. Our approach segments vehicles using a dual-view representation of the 3D LiDAR point cloud on two independently trained ... -
Dynamic object detection fusing LIDAR data and images
(2014)
Comunicació de congrés
Accés obertWe present a method to segment dynamic objects on point clouds using images and 3D laser data. Per-pixel background classes are adapted online as Gaussian Mixtures independently for each sensor. The learned classes are ... -
ECMR’13 Special Issue
(2015)
Article
Accés obertThis special issue contains extended versions of the best papers from the 6th European Conference on Mobile Robots (ECMR). ECMR is a biennial European forum, internationally open, that allows roboticists throughout Europe ... -
Efficient 3D object detection using multiple pose-specific classifiers
(2011)
Text en actes de congrés
Accés obertWe propose an efficient method for object localization and 3D pose estimation. A two-step approach is used. In the first step, a pose estimator is evaluated in the input images in order to estimate potential object ... -
Efficient rotation invariant object detection using boosted random Ferns
(2010)
Text en actes de congrés
Accés obertWe present a new approach for building an efficient and robust classifier for the two class problem, that localizes objects that may appear in the image under different orientations. In contrast to other works that address ... -
Efficient vision-based loop closing techniques for delayed state robot mapping
(ESF-JSPS, 2008)
Text en actes de congrés
Accés obertThis paper shows results on outdoor vision-based loop closing for Simultaneous Localization and Mapping. Our experiments show that for loops of over 50m, the pose estimates maintained with a Delayed-State Extended Information ... -
Egomotion from event-based SNN optical flow
(Association for Computing Machinery (ACM), 2023)
Text en actes de congrés
Accés obertWe present a method for computing egomotion using event cameras with a pre-trained optical flow spiking neural network (SNN). To address the aperture problem encountered in the sparse and noisy normal flow of the initial ... -
Environment learning for indoor mobile robots
(Universitat Politècnica de Catalunya, 2003-04-08)
Tesi
Accés obertAquesta tesi tracta el problema de l'aprenentatge automàtic d'entorns estructurats n robòtica mòbil. Particularment, l'extracció de característiques a partir dels senyals dels sensors, la construcció autònoma de mapes, i ... -
Estimation of camera calibration uncertainty using LIDAR data
(2013)
Text en actes de congrés
Accés obertThis paper presents an analysis of uncertainty in the calibration of a network of cameras. A global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with non overlapping ¿elds of view by means of ... -
Event transformer FlowNet for optical flow estimation
(2022)
Text en actes de congrés
Accés obertEvent cameras are bioinspired sensors that produce asynchronous and sparse streams of events at image locations where intensity change is detected. They can detect fast motion with low latency, high dynamic range, and low ... -
Event-based line SLAM in real-time
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Article
Accés obertEvent-based cameras generate asynchronous streams of events, triggered proportionally to the logarithmic change of brightness in the scene. These cameras have very low latency and high dynamic range suitable to address ... -
Event-IMU fusion strategies for faster-than-IMU estimation throughput
(2023)
Comunicació de congrés
Accés obertThis study presents new methods for integrating event data and IMU readings to achieve ultra-fast camera pose estimates. The conventional predict-with-IMU-correct-with-vision approach is no longer optimal because events ... -
Exhaustive linearization for robust camera pose and focal length estimation
(2013)
Article
Accés obertWe propose a novel approach for the estimation of the pose and focal length of a camera from a set of 3D-to-2D point correspondences. Our method compares favorably to competing approaches in that it is both more accurate ... -
Exploration in information distribution maps
(2013)
Text en actes de congrés
Accés obertIn this paper, a novel solution for autonomous robotic exploration is proposed. We model the distribution of information in an unknown environment as an unsteady diffusion process, which can be an appropriate mathematical ... -
Exploration on continuous Gaussian process frontier maps
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés obertAn information-driven autonomous robotic explo- ration method on a continuous representation of unknown envi- ronments is proposed in this paper. The approach conveniently handles sparse sensor measurements to build a ... -
Exploration using an information-based reaction-diffusion process
(2013)
Text en actes de congrés
Accés obertIn this paper, a novel solution for autonomous robotic exploration is proposed. We model the distribution of information in an unknown environment as an unsteady diffusion process, which can be an appropriate mathematical ... -
Factor descent optimization for sparsification in graph SLAM
(IEEE Press, 2017)
Text en actes de congrés
Accés obertIn the context of graph-based simultaneous localization and mapping, node pruning consists in removing a subset of nodes from the graph, while keeping the graph’s information content as close as possible to the original. ... -
FaMSA: fast multi-scan alignment with partially known correspondences
(2011)
Text en actes de congrés
Accés obertThis paper presents FaMSA, an efficient method to boost 3D scan registration from partially known correspondence sets. This situation is typical at loop closure in large laser-based mapping sessions. In such cases, scan ...
