This page has only limited features, please log in for full access.

Prof. José Antonio Martín-Jiménez
Salamanca University

Basic Info


Research Keywords & Expertise

0 GIS applications
0 Leaflet
0 Web Mapping
0 LiDAR technology
0 LiDAR applications

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Conference paper
Published: 07 February 2021 in Communications in Computer and Information Science
Reads 0
Downloads 0

The reduction of CO2 emissions in cities implies the generation of clean energy for the supply of the municipal energy demand. In the conversion to Smart Cities, the consumption sources and the generation possibilities should be considered as a whole, in such a way that all the urban elements can be integrated in the energy mix. In this study, bus shelters are evaluated as potential energy generators. The installation of PV panels with the optimal configuration can contribute to the supply of the energy needed in the bus shelter, but also to the generation of surplus energy. The analysis of the possibilities and the definition of the recommendable configuration of PV installations in bus shelters are performed using the city of Ávila (Spain) as case study. In this city, the PV generation reached with the optimal configuration (3500 kWh/year) can cover the energy demand of the bus shelters, including their role as lighting points in the city, and being able to contribute to other energy demands. For this study, geospatial information and a solar radiation model are incorporated in a Geospatial Information System (GIS) tool, specially developed to replicate this study in other cities.

ACS Style

M. Sánchez-Aparicio; S. Lagüela; J. Martín-Jiménez; S. Del Pozo; E. González-González; P. Andrés-Anaya. Smart Mobility in Cities: GIS Analysis of Solar PV Potential for Lighting in Bus Shelters in the City of Ávila. Communications in Computer and Information Science 2021, 154 -166.

AMA Style

M. Sánchez-Aparicio, S. Lagüela, J. Martín-Jiménez, S. Del Pozo, E. González-González, P. Andrés-Anaya. Smart Mobility in Cities: GIS Analysis of Solar PV Potential for Lighting in Bus Shelters in the City of Ávila. Communications in Computer and Information Science. 2021; ():154-166.

Chicago/Turabian Style

M. Sánchez-Aparicio; S. Lagüela; J. Martín-Jiménez; S. Del Pozo; E. González-González; P. Andrés-Anaya. 2021. "Smart Mobility in Cities: GIS Analysis of Solar PV Potential for Lighting in Bus Shelters in the City of Ávila." Communications in Computer and Information Science , no. : 154-166.

Journal article
Published: 05 February 2021 in Applied Sciences
Reads 0
Downloads 0

Total and automatic digitalization of indoor spaces in 3D implies a great advance in building maintenance and construction tasks, which currently require visits and manual works. Terrestrial laser scanners (TLS) have been widely used for these tasks, although the acquisition methodology with TLS systems is time consuming, and each point cloud is acquired in a different coordinate system, so the user has to post-process the data to clean and get a unique point cloud of the whole scenario. This paper presents a solution for the automatic data acquisition and registration of point clouds from indoor scenes, designed for point clouds acquired with a terrestrial laser scanner (TLS) mounted on an unmanned ground vehicle (UGV). The methodology developed allows the generation of one complete dense 3D point cloud consisting of the acquired point clouds registered in the same coordinate system, reaching an accuracy below 1 cm in section dimensions and below 1.5 cm in walls thickness, which makes it valid for quality control in building works. Two different study cases corresponding to building works were chosen for the validation of the method, showing the applicability of the methodology developed for tasks related to the control of the evolution of the construction.

ACS Style

Rocio Mora; Jose Martín-Jiménez; Susana Lagüela; Diego González-Aguilera. Automatic Point-Cloud Registration for Quality Control in Building Works. Applied Sciences 2021, 11, 1465 .

AMA Style

Rocio Mora, Jose Martín-Jiménez, Susana Lagüela, Diego González-Aguilera. Automatic Point-Cloud Registration for Quality Control in Building Works. Applied Sciences. 2021; 11 (4):1465.

Chicago/Turabian Style

Rocio Mora; Jose Martín-Jiménez; Susana Lagüela; Diego González-Aguilera. 2021. "Automatic Point-Cloud Registration for Quality Control in Building Works." Applied Sciences 11, no. 4: 1465.

Journal article
Published: 13 November 2020 in Remote Sensing
Reads 0
Downloads 0

The use of LiDAR (Light Detection and Ranging) data for the definition of the 3D geometry of roofs has been widely exploited in recent years for its posterior application in the field of solar energy. Point density in LiDAR data is an essential characteristic to be taken into account for the accurate estimation of roof geometry: area, orientation and slope. This paper presents a comparative study between LiDAR data of different point densities: 0.5, 1, 2 and 14 points/m2 for the measurement of the area of roofs of residential and industrial buildings. The data used for the study are the LiDAR data freely available by the Spanish Institute of Geography (IGN), which is offered according to the INSPIRE Directive. The results obtained show different behaviors for roofs with an area below and over 200 m2. While the use of low-density point clouds (0.5 point/m2) presents significant errors in the estimation of the area, the use of point clouds with higher density (1 or 2 points/m2) implies a great improvement in the area results, with no significant difference among them. The use of high-density point clouds (14 points/m2) also implies an improvement of the results, although the accuracy does not increase in the same ratio as the increase in density regarding 1 or 2 points/m2. Thus, the conclusion reached is that the geometrical characterization of roofs requires data acquisition with point density of 1 or 2 points/m2, and that higher point densities do not improve the results with the same intensity as they increase computation time.

ACS Style

María Sánchez-Aparicio; Susana Del Pozo; Jose Martín-Jiménez; Enrique González-González; Paula Andrés-Anaya; Susana Lagüela. Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities. Remote Sensing 2020, 12, 3726 .

AMA Style

María Sánchez-Aparicio, Susana Del Pozo, Jose Martín-Jiménez, Enrique González-González, Paula Andrés-Anaya, Susana Lagüela. Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities. Remote Sensing. 2020; 12 (22):3726.

Chicago/Turabian Style

María Sánchez-Aparicio; Susana Del Pozo; Jose Martín-Jiménez; Enrique González-González; Paula Andrés-Anaya; Susana Lagüela. 2020. "Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities." Remote Sensing 12, no. 22: 3726.

Journal article
Published: 08 September 2020 in Sensors
Reads 0
Downloads 0

A new roadway eventual obstacle detection system based on computer vision is described and evaluated. This system uses low-cost hardware and open-source software to detect and classify moving elements in roads using infra-red and colour video images as input data. This solution represents an important advancement to prevent road accidents due to eventual obstacles which have considerably increased in the past decades, mainly with wildlife. The experimental evaluation of the system demonstrated that the proposed solution detects and classifies correctly different types of moving obstacles on roads, working robustly under different weather and illumination conditions.

ACS Style

Mariano Gonzalez-De-Soto; Rocio Mora; José Antonio Martín-Jiménez; Diego Gonzalez-Aguilera. A New Roadway Eventual Obstacle Detection System Based on Computer Vision. Sensors 2020, 20, 5109 .

AMA Style

Mariano Gonzalez-De-Soto, Rocio Mora, José Antonio Martín-Jiménez, Diego Gonzalez-Aguilera. A New Roadway Eventual Obstacle Detection System Based on Computer Vision. Sensors. 2020; 20 (18):5109.

Chicago/Turabian Style

Mariano Gonzalez-De-Soto; Rocio Mora; José Antonio Martín-Jiménez; Diego Gonzalez-Aguilera. 2020. "A New Roadway Eventual Obstacle Detection System Based on Computer Vision." Sensors 20, no. 18: 5109.

Journal article
Published: 17 June 2020 in Automation in Construction
Reads 0
Downloads 0

The effective implementation of preventive conservation approaches demands the employment of standardized and robust tools able to integrate the data coming from multiple sources, inspection and diagnosis techniques, as well as to ensure the proper information transfer between expert and non-expert users. Aiming to make a step forward in the state of the art of current conservation approaches, a cutting edge Web-GIS technology resorting to the intuitiveness of 360° panoramas and 3D point clouds in combination with the Internet of Things is presented in this work, demonstrating how physical and digital worlds can be linked for proper documentation and management of cultural heritage. To validate such a pioneering approach, one of the most representative and complex heritage buildings of Spain is used as a case study: the General Historical Library of Salamanca.

ACS Style

Luis Javier Sánchez-Aparicio; Maria-Giovanna Masciotta; Joaquín García-Alvarez; Luís F. Ramos; Daniel V. Oliveira; José Antonio Martín-Jiménez; Diego González-Aguilera; Paula Monteiro. Web-GIS approach to preventive conservation of heritage buildings. Automation in Construction 2020, 118, 103304 .

AMA Style

Luis Javier Sánchez-Aparicio, Maria-Giovanna Masciotta, Joaquín García-Alvarez, Luís F. Ramos, Daniel V. Oliveira, José Antonio Martín-Jiménez, Diego González-Aguilera, Paula Monteiro. Web-GIS approach to preventive conservation of heritage buildings. Automation in Construction. 2020; 118 ():103304.

Chicago/Turabian Style

Luis Javier Sánchez-Aparicio; Maria-Giovanna Masciotta; Joaquín García-Alvarez; Luís F. Ramos; Daniel V. Oliveira; José Antonio Martín-Jiménez; Diego González-Aguilera; Paula Monteiro. 2020. "Web-GIS approach to preventive conservation of heritage buildings." Automation in Construction 118, no. : 103304.

Journal article
Published: 24 October 2019 in Automation in Construction
Reads 0
Downloads 0

Photovoltaic self-consumption in buildings requires the installation of photovoltaic (PV) systems mostly on roofs, taking the advantage of these building locations for both the available surface area and the certainty of a big amount of annual incoming solar radiation. Since the parameters required for a proper PV system design are mainly geometric: azimuth-orientation, tilt angle and effective dimensions of the different roof slopes; aerial LiDAR data and orthoimagery offered by the National Geographic Agencies became suitable data sources for this purpose, ensuring its availability for any city regardless of its location. This paper presents a novel automatic methodology that combines LiDAR and orthoimage data processing to geometrically characterize roofs at slope level and calculate their PV solar potential. The methodology developed has been validated against results obtained from a higher-resolution aerial 3D point cloud of the roofs under study. Different locations and roof types have been tested in order to confirm the performance of the methodology under different conditions, being able to accurately characterize the geometry of most types of roofs, such as flat roofs, gable or saddle roofs, single pitched roofs and pyramid roofs at city, neighbourhood and building level.

ACS Style

J. Martín-Jiménez; S. Del Pozo; M. Sánchez-Aparicio; S. Lagüela. Multi-scale roof characterization from LiDAR data and aerial orthoimagery: Automatic computation of building photovoltaic capacity. Automation in Construction 2019, 109, 102965 .

AMA Style

J. Martín-Jiménez, S. Del Pozo, M. Sánchez-Aparicio, S. Lagüela. Multi-scale roof characterization from LiDAR data and aerial orthoimagery: Automatic computation of building photovoltaic capacity. Automation in Construction. 2019; 109 ():102965.

Chicago/Turabian Style

J. Martín-Jiménez; S. Del Pozo; M. Sánchez-Aparicio; S. Lagüela. 2019. "Multi-scale roof characterization from LiDAR data and aerial orthoimagery: Automatic computation of building photovoltaic capacity." Automation in Construction 109, no. : 102965.

Technical note
Published: 28 November 2018 in Remote Sensing
Reads 0
Downloads 0

This paper presents an efficient solution, based on a wearable mobile laser system (WMLS), for the digitalization and modelling of a complex cultural heritage building. A procedural pipeline is formalized for the data acquisition, processing and generation of cartographic products over a XV century palace located in Segovia, Spain. The complexity, represented by an intricate interior space and by the presence of important structural problems, prevents the use of standard protocols such as those based on terrestrial photogrammetry or terrestrial laser scanning, making the WMLS the most suitable and powerful solution for the design of restoration actions. The results obtained corroborate with the robustness and accuracy of the digitalization strategy, allowing for the generation of 3D models and 2D cartographic products with the required level of quality and time needed to digitalize the area by a terrestrial laser scanner.

ACS Style

Andrea Di Filippo; Luis Javier Sánchez-Aparicio; Salvatore Barba; José Antonio Martín-Jiménez; Rocío Mora; Diego González Aguilera. Use of a Wearable Mobile Laser System in Seamless Indoor 3D Mapping of a Complex Historical Site. Remote Sensing 2018, 10, 1897 .

AMA Style

Andrea Di Filippo, Luis Javier Sánchez-Aparicio, Salvatore Barba, José Antonio Martín-Jiménez, Rocío Mora, Diego González Aguilera. Use of a Wearable Mobile Laser System in Seamless Indoor 3D Mapping of a Complex Historical Site. Remote Sensing. 2018; 10 (12):1897.

Chicago/Turabian Style

Andrea Di Filippo; Luis Javier Sánchez-Aparicio; Salvatore Barba; José Antonio Martín-Jiménez; Rocío Mora; Diego González Aguilera. 2018. "Use of a Wearable Mobile Laser System in Seamless Indoor 3D Mapping of a Complex Historical Site." Remote Sensing 10, no. 12: 1897.

Journal article
Published: 26 August 2018 in ISPRS International Journal of Geo-Information
Reads 0
Downloads 0

Close-range photogrammetry and thermographic imaging techniques are used for the acquisition of all the data needed for the non-invasive assessment of a honeybee hive population. Temperature values complemented with precise 3D geometry generated using novel close-range photogrammetric and computer vision algorithms are used for the computation of the inner beehive temperature at each point of its surface. The methodology was validated through its application to three reference beehives with different population levels. The temperatures reached by the exterior surfaces of the hives showed a direct correlation with the population level. In addition, the knowledge of the 3D reality of the hives and the position of each temperature value allowed the positioning of the bee colonies without the need to open the hives. This way, the state of honeybee hives regarding the growth of population can be estimated without disturbing its natural development.

ACS Style

Luis López-Fernández; Susana Lagüela; Pablo Rodríguez-Gonzálvez; José Antonio Martín-Jiménez; Diego González-Aguilera. Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment. ISPRS International Journal of Geo-Information 2018, 7, 350 .

AMA Style

Luis López-Fernández, Susana Lagüela, Pablo Rodríguez-Gonzálvez, José Antonio Martín-Jiménez, Diego González-Aguilera. Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment. ISPRS International Journal of Geo-Information. 2018; 7 (9):350.

Chicago/Turabian Style

Luis López-Fernández; Susana Lagüela; Pablo Rodríguez-Gonzálvez; José Antonio Martín-Jiménez; Diego González-Aguilera. 2018. "Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment." ISPRS International Journal of Geo-Information 7, no. 9: 350.