Research

CURRENT PROJECTS

[2024 - today] Development of a hybrid mobile mapping system
(terrestrial and aerial) for smart city contexts

Urban centers have experienced exponential growth in recent decades. By 2050, two-thirds of the global population is expected to live in urban areas. Without proper planning, this growth could lead to severe social impacts. In response, numerous studies have been conducted to anticipate future urban challenges and to plan actions that mitigate major societal impacts. This has led to the emergence of the smart city concept—an approach that leverages technological advancements and data science to improve urban management efficiency, municipal sustainability, and the quality of life for residents and visitors. A key element in managing smart cities is geospatial data. Currently, mobile mapping systems are used to acquire both aerial and terrestrial data. The project proposed here aims to develop a low-cost, hybrid mobile mapping system for extracting critical information to support urban management, with the assistance of artificial intelligence. This initiative addresses all three pillars of the university—research, education, and community outreach.

[2024 - today] A New Approach to Last-Mile Tasks in Favelas Supported by Spatial Analysis and Sustainability

This project proposes a new, sustainability-driven approach to last-mile logistics in favelas, aiming to overcome challenges such as physical barriers, lack of spatial data, and high operational costs. Leveraging spatial analysis and emerging technologies (e.g., drones, bikes, motorcycles), the research will develop automated mapping methods and multimodal routing models to improve goods delivery in underserved areas. The methodology will be validated using real data from Brazilian favelas, with the goal of enhancing quality of life (improving social aspects) and reducing both financial and environmental costs.

Main partner: https://lalt.fecfau.unicamp.br/

LINK to LOGFAV website: https://lalt.fec.unicamp.br/LOGFAV/

[2024 - today] Energy Management of Electric Buses in a Connected Environment

This project proposes the development of a platform to support energy management and charging planning for electric buses used in public transportation equipped with monitoring systems capable of transmitting real-time data. The platform will support the implementation of best practices for preserving battery lifespan, maintaining the operational safety of the buses, and assessing the use of opportunity charging. It will also enable the estimation of energy costs for electric buses under different usage conditions, aiding in evaluating and identifying the most suitable routes for integrating electric buses. Additionally, the platform will allow real-time monitoring of the buses' energy conditions, performance changes, and abrupt changes in patterns of measured, calculated, and/or estimated variables that may indicate the presence of anomalies.

[2021 - today] UAV path planning for Transport applications: an approach based on safety and onboard processing

Nowadays, Remoted Pilot Aircrafts (RPA) have been used for several applications making possible considerable improvements in civil areas, such as construction, security, Geomatics, forestry, logistics, and others. All tasks, which include the use of RPA a path planning is required – considering the particularities of each country legislation. One of the bottlenecks regarding the use of RPA is to guarantee the system operation safety. This project considers algorithms and methods for RPA path planning development in offline (before flight) and online (during flight by identifying risks in real time) modes.

Done

[2021-2022] Development of a UAV-based system for construction staking

Staking is geodetic survey, which aims to determine features on the terrain to represent a pre-planned project. It is defined as the realization of a project from the digital format to the real world. The traditional way for performing such task is by applying GNSS/RTK survey or using polar coordinates via total station. This project aims at developing a plug-and-play system for marking the ground using UAV and high-precision GNSS receiver/antenna assembled into it. This project has financial support from FAPESP (grant number: 19/23085-8)

[2017-today] Smart Campus - University of Campinas

This project is an initiative of UNICAMP administration with collaboration of several faculties, such as Civil Engineering, Electrical and Computer Engineering, and Institute of Computing. The Smart Campus project aims at using the IoT concept to collect geospatial information of the campus life and insert them into a computational system, which is used as base information for an efficient campus control and for taking strategic decisions. The participation of Dr. Henrique in this project is related to transport applications, such as the optimisation of the bus service inside the campus. (SMART CAMPUS PROJECT)

Publications: Book chapter; RBC2020;

[2018-2020] Development and assessment of a low-cost terrestrial mobile mapping system for transport applications

Considering the diversity of products, which can be generated with such system and their values for cities development, it should be accessible for public managers at a lower cost level, serving as a base information for taking strategic decisions. The aim of this project is to evaluate the feasibility of creating a mobile mapping system based on the integration of low cost set of equipment. This project has financial support from FAPESP (grant number: 17/17003-3). Members: Henrique Candido de Oliveira, Marco Aurélio Mendonça, Jefferson Souza, Johny Marques, and Rafael Fernandes.

Publications: IGEO, MMT2019, SBSR2019, ISPRS_AWARD

[2017-2018] Development of tracking system and route planning for the campus surveillance

This project aims at the optimisation of route planning for a surveillance platform inside University of Campinas. The main idea is to use low-cost GNSS receiver to identify the position of surveillance members and to define the optimum route for them to take actions in case of a "panic" situation. This route planning involves the generation of a carthographic base map together with a network analysis and implementation. This project is funded by PREAC-UNICAMP (1022/17). Members: Henrique Cândido de Oliveira, Luciano Aparecido Barbosa and Giovana La Luna (with help from Ricardo Antunes, Rafael Sousa, and Guilherme Lima).

[2017-2020] Digital Image Processing for Precision Agriculture

This research aims the identification of crops failures and individuals counting using digital image processing over orthoimages created from UAV images and machine learning. This work has been developed together with Dr. Jefferson Rodrigo de Souza (Federal University of Uberlândia), Dr. Vitor Campanholo Guizilini, Bruno Kitano, and Israel Nunes. The approach proposed in this work uses image processing for highlighting the failures in different crop cultures and give to the farmer the failures geolocation and the plants individual identification for optimizing agriculture studies.

Publications: IEEE GRSL 1; GRSS-YP(p.32); IEEE GRSL 2;

[2016-2017] The Use of Geomatic Tools for Urban Mobility Applications

This project aims at developing new methodologies for road system extraction (geometric network) using GNSS dataset collected using a mobile platform. It also seeks for the proper use of this information together with a network dataset (logical network) to assist public managers to take strategic decisions regarding the improvement of urban mobility. This work has been done together with Dr. Rodrigo Bezerra, Dr. Ricardo Barbosa and Inglith Lages (all from Federal University of Uberlândia).

Publications: CBC-2017

[2011-2016] A New Methodology for Occlusion Detection and True-Orthophoto Generation

This project was held during my Master and PhD degrees in São Paulo State University (Brazil) and Purdue University (USA). The aim was to create a new approach for occlusion detection and true-orthophoto generation. Its originality comes from the use of irregularly-spaced DSM dataset (without an initial interpolation process as all exiting methods) arranged as a TIN structure and its analysis for occlusion identification and compensation. More details can be seen in the files at "Work>Dissertation&Theses". This work was done under supervision of Dr. Mauricio Galo and Dr. Aluir Porfírio Dal Poz (UNESP), and Dr. Ayman Fawzy Habib (Purdue University). Funded by FAPESP.

Publications: IEEE JSTARS; IEEE GRSL; RBC; ISPRS-UAVg; SEEJ-EOG

[2010] Development of a Car Navigation and Route Guidance System

This system was developed during the undergraduate course - Cartographic Engineering - at São Paulo State University, together with Engineer Evandro Klebis Ocanha. Using the ArcObjects library and programming language VB, we developed a Car Navigation and Route Guidance System which allowed the user to find the best route considering the shortest and fastest trajectory, considering several constraints, which were collected in the field, such as street direction and impedance, traffic lights, obstacles, speed limits, and others. This project was supervisioned by Dr. Edmur Pugliesi and Dra. Monica Decanini.

Publications: SIMGEO-2012; Eng. Thesis

[2008-2010] 3D Point Cloud Processing for Roof Planes Extraction

This project was done during the undergraduate at São Paulo State University (Cartographic Engineering) and its objective was to develop a method to extract roof planes intersection by processing a 3D point cloud obtained by an aerial laser system. The approach considered the use of Triangulated Irregular Network, normal vector determination and Otsu algorithm for roof plane extraction. This was a project for scientific initiation under supervision of Dr. Mauricio Galo (UNESP). Founded by CNPq.

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