Wander Mendes Martins
Research Subjects
Wander Mendes Martins has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Alexandre Carlos Brandao Ramos
Institute of Mathematics and Computing, Federal University of Itajub, Itajub, Brazil
3 shared publications Felix Mora-Camino
École Nationale de l’Aviation Civile
2 shared publications- Adler Diniz de Souza
Postgraduate Programin Science and Technology of Computing, Federal University of Itajubá (UNIFEI), Avenida BPS, 1303, Itajubá 37540-903, MG, Brazil
1 shared publication - Antonio J. Dantas Filho
Federal University of Itajuba - UNIFEI
1 shared publication - Leandro Diniz de Jesus
Federal University of Itajuba - UNIFEI
1 shared publication Luciano Do V. Ribeiro
Institute of Mathematics and Computer Science, Federal University of Itajubá - UNIFEI, Itajubá, Minas Gerais, Brazil
1 shared publication
Latest Publications
- Open Access
- 1 December 2020
- Published by Institute of Advanced Engineering and Science in IAES International Journal of Robotics and Automation (IJRA)
- Vol. 9 (4) , 233-243
Tracking for inspection in energy transmission power lines using unmanned aerial vehicles: a systematic review of current and specific literature
Power transmission lines are of great importance for the operation of all sectors of society, such as commerce, industry and public agencies. To ensure reliability and availability of power supply, regular and occasional inspections are conducted, mostly using patrol with binoculars, helicopters or truck cranes. Research is being developed using unmanned aerial vehicle (UAV) to make this activity autonomous, faster, safer, and less costly. The present work aims to analyze research related to the autonomous control of the UAV along the transmission lines through a systematic review of the literature (SRL), apply a viable solution and to verify the possible lacuna in this state of the art. Improvements in safety, computational process and energy efficiency with low-cost were identified. The results presented can help the research community to perform the working this state of art, from the suggestions of autonomous tracking of transmission lines.
- 1 December 2020
- Published by Institute of Advanced Engineering and Science in IAES International Journal of Robotics and Automation (IJRA)
- Vol. 9 (4) , 233-243
Open AccessTracking for inspection in energy transmission power lines using unmanned aerial vehicles: a systematic review of current and specific literature
Power transmission lines are of great importance for the operation of all sectors of society, such as commerce, industry and public agencies. To ensure reliability and availability of power supply, regular and occasional inspections are conducted, mostly using patrol with binoculars, helicopters or truck cranes. Research is being developed using unmanned aerial vehicle (UAV) to make this activity autonomous, faster, safer, and less costly. The present work aims to analyze research related to the autonomous control of the UAV along the transmission lines through a systematic review of the literature (SRL), apply a viable solution and to verify the possible lacuna in this state of the art. Improvements in safety, computational process and energy efficiency with low-cost were identified. The results presented can help the research community to perform the working this state of art, from the suggestions of autonomous tracking of transmission lines.
- 13 April 2018
- Published by Springer Nature
- p. 569-575
A Computer Vision Based Algorithm for Obstacle Avoidance
- 13 April 2018
- Published by Springer Nature
- p. 569-575
A Computer Vision Based Algorithm for Obstacle Avoidance
- 1 July 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 316-321
Computer vision in remotely piloted aircraft (RPA) to avoid obstacles during flight
This paper presents the implementation of an algorithm based on elementary computer vision techniques that allow an UAV (Unmanned Aerial Vehicle), or robot, to identify obstacles in front of it and quickly decide a better way to move in order to avoid them, without demanding complex software or high computational performance, using only a trivial camera and applying no more than two mathematical treatments on images. We implement and test this solution in a simulation environment, although it can be readily applied to UAVs in real life.
- 1 July 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 316-321
Computer vision in remotely piloted aircraft (RPA) to avoid obstacles during flight
This paper presents the implementation of an algorithm based on elementary computer vision techniques that allow an UAV (Unmanned Aerial Vehicle), or robot, to identify obstacles in front of it and quickly decide a better way to move in order to avoid them, without demanding complex software or high computational performance, using only a trivial camera and applying no more than two mathematical treatments on images. We implement and test this solution in a simulation environment, although it can be readily applied to UAVs in real life.