Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Martin Velas"'
Publikováno v:
Sensors, Vol 19, Iss 18, p 3944 (2019)
This paper presents a human-carried mapping backpack based on a pair of Velodyne LiDAR scanners. Our system is a universal solution for both large scale outdoor and smaller indoor environments. It benefits from a combination of two LiDAR scanners, wh
Externí odkaz:
https://doaj.org/article/28246a7ce31d46339c25159f2e960c47
Publikováno v:
ICARSC
We introduce a novel method for odometry estimation using convolutional neural networks from 3D LiDAR scans. The original sparse data are encoded into 2D matrices for the training of proposed networks and for the prediction. Our networks show signifi
Publikováno v:
ICARSC
This paper presents a novel method for ground segmentation in Velodyne point clouds. We propose an encoding of sparse 3D data from the Velodyne sensor suitable for training a convolutional neural network (CNN). This general purpose approach is used f
Publikováno v:
IEEE Access, Vol 11, Pp 124265-124277 (2023)
This work addresses the trajectory tracking problem for a non-holonomic differential drive mobile robot with a constant time delay $h$ at the input signal. To compensate for the adverse effects of the input time delay on the vehicle, a non-linear pre
Externí odkaz:
https://doaj.org/article/c0b5d1801bf74768aa05698c847fdf95
Publikováno v:
SENSORS. 2019, vol. 19, issue 18, p. 1-34.
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 18, p 3944 (2019)
Sensors
Volume 19
Issue 18
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 18, p 3944 (2019)
Sensors
Volume 19
Issue 18
This paper presents a human-carried mapping backpack based on a pair of Velodyne LiDAR scanners. Our system is a universal solution both for large scale outdoor and also smaller indoor environments. It benefits from a combination of two LiDAR scanner
Publikováno v:
SSCI
This paper proposes the use of change detection in a multi-view object recognition system in order to improve its flexibility and effectiveness in dynamic environments. Multi-view recognition approaches are essential to overcome problems related to c
Publikováno v:
ICRA
We present a novel way of odometry estimation from Velodyne LiDAR point cloud scans. The aim of our work is to overcome the most painful issues of Velodyne data - the sparsity and the quantity of data points - in an efficient way, enabling more preci
Autor:
Santiago Sánchez, Victor Hidalgo, Martin Velasco, Diana Puga, P. Amparo López-Jiménez, Modesto Pérez Sánchez
Publikováno v:
Journal of Applied Research in Technology & Engineering, Vol 2, Iss 2, Pp 51-62 (2021)
The present paper focuses on the selection of parameters that maximize electrical energy production of a horizontal axis wind turbine using Python programming language. The study takes as reference turbines of Villonaco wind field in Ecuador. For thi
Externí odkaz:
https://doaj.org/article/8a6729a9ad73488fbcb3c64927d5de91
Autor:
César Cruz-Díaz, Basilio del Muro-Cuéllar, Gonzalo Duchén-Sánchez, Juan Francisco Márquez-Rubio, Martín Velasco-Villa
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1399 (2022)
In this paper, a new method to manage the stabilization and control problems of n-dimensional linear systems plus dead time, which includes one, two, or three unstable poles, is proposed. The control methodology proposed in this work is an Observer-b
Externí odkaz:
https://doaj.org/article/8309d5e2209b4fbf99bf72acaf1f040a
Autor:
Martín Velasco-Villa, Raúl Dalí Cruz-Morales, Alejandro Rodriguez-Angeles, Carlos A. Domínguez-Ortega
Publikováno v:
Sensors, Vol 21, Iss 11, p 3824 (2021)
This paper presents a navigation strategy for a platoon of n non-holonomic mobile robots with a time-varying spacing policy between each pair of successive robots at the platoon, such that a safe trailing distance is maintained at any speed, avoiding
Externí odkaz:
https://doaj.org/article/3245803185c6413a9b57e2e8a894a8a8