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Eduardo Silva

Bio: Eduardo Silva is an academic researcher from Polytechnic Institute of Porto. The author has contributed to research in topics: Robot & Search and rescue. The author has an hindex of 15, co-authored 124 publications receiving 1020 citations. Previous affiliations of Eduardo Silva include Instituto Superior de Engenharia do Porto & International Student Exchange Programs.


Papers
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Proceedings ArticleDOI
11 May 2009
TL;DR: In this article, the use of robotic systems for risk assessment is validated through several missions performed either in river scenario (in very shallow water conditions) and in marine coastlines, where the ROAZ is an ocean capable catamaran.
Abstract: The use of unmanned marine robotic vehicles in bathymetric surveys is discussed. This paper presents recent results in autonomous bathymetric missions with the ROAZ autonomous surface vehicle. In particular, robotic surface vehicles such as ROAZ provide an efficient tool in risk assessment for shallow water environments and water land interface zones as the near surf zone in marine coast. ROAZ is an ocean capable catamaran for distinct oceanographic missions, and with the goal to fill the gap were other hydrographic surveys vehicles/systems are not compiled to operate, like very shallow water rivers and marine coastline surf zones. Therefore, the use of robotic systems for risk assessment is validated through several missions performed either in river scenario (in a very shallow water conditions) and in marine coastlines.

110 citations

Proceedings ArticleDOI
11 May 2009
TL;DR: In this paper, the authors present the integration of obstacle detection and analysis capabilities in a coherent and advanced C&C framework allowing mixed-mode control in unmanned surface systems, and the collision avoidance work has been successfully integrated in an operational autonomous surface vehicle and demonstrated in real operational conditions.
Abstract: This work presents the integration of obstacle detection and analysis capabilities in a coherent and advanced C&C framework allowing mixed-mode control in unmanned surface systems. The collision avoidance work has been successfully integrated in an operational autonomous surface vehicle and demonstrated in real operational conditions. We present the collision avoidance system, the ROAZ autonomous surface vehicle and the results obtained at sea tests. Limitations of current COTS radar systems are also discussed and further research directions are proposed towards the development and integration of advanced collision avoidance systems taking in account the different requirements in unmanned surface vehicles

60 citations

Proceedings ArticleDOI
10 Apr 2007
TL;DR: The system implemented in the autonomous surface vehicle ROAZ, developed by LSA-ISEP to perform missions in river environment, test autonomous AUV docking capabilities and multiple AUV/ASV coordinated missions is presented.
Abstract: This work presents a hybrid coordinated manoeuvre for docking an autonomous surface vehicle with an autonomous underwater vehicle. The control manoeuvre uses visual information to estimate the AUV relative position and attitude in relation to the ASV and steers the ASV in order to dock with the AUV. The AUV is assumed to be at surface with only a small fraction of its volume visible. The system implemented in the autonomous surface vehicle ROAZ, developed by LSA-ISEP to perform missions in river environment, test autonomous AUV docking capabilities and multiple AUV/ASV coordinated missions is presented. Information from a low cost embedded robotics vision system (LSAVision), along with inertial navigation sensors is fused in an extended Kalman filter and used to determine AUV relative position and orientation to the surface vehicle The real time vision processing system is described and results are presented in operational scenario.

59 citations

Proceedings ArticleDOI
18 Jun 2007
TL;DR: In this paper, the design and development of the swordfish autonomous surface vehicle (ASV) system is discussed, which is an ocean capable 4.5 m long catamaran designed for network centric operations (with ocean and air going vehicles and human operators).
Abstract: The design and development of the swordfish autonomous surface vehicle (ASV) system is discussed. Swordfish is an ocean capable 4.5 m long catamaran designed for network centric operations (with ocean and air going vehicles and human operators). In the basic configuration, Swordfish is both a survey vehicle and a communications node with gateways for broadband, Wi-Fi and GSM transports and underwater acoustic modems. In another configuration, Swordfish mounts a docking station for the autonomous underwater vehicle Isurus from Porto University. Swordfish has an advanced control architecture for multi-vehicle operations with mixed initiative interactions (human operators are allowed to interact with the control loops).

56 citations

Journal ArticleDOI
16 Apr 2019-Sensors
TL;DR: The PL2DM, Power Line LiDAR-based Detection and Modeling, is a novel approach to detect power lines using a scan-by-scan adaptive neighbor minimalist comparison for all the points in a point cloud, and shows promising results both in terms of outputs and processing time.
Abstract: The effective monitoring and maintenance of power lines are becoming increasingly important due to a global growing dependence on electricity. The costs and risks associated with the traditional foot patrol and helicopter-based inspections can be reduced by using UAVs with the appropriate sensors. However, this implies developing algorithms to make the power line inspection process reliable and autonomous. In order to overcome the limitations of visual methods in the presence of poor light and noisy backgrounds, we propose to address the problem of power line detection and modeling based on LiDAR. The PL 2 DM, Power Line LiDAR-based Detection and Modeling, is a novel approach to detect power lines. Its basis is a scan-by-scan adaptive neighbor minimalist comparison for all the points in a point cloud. The power line final model is obtained by matching and grouping several line segments, using their collinearity properties. Horizontally, the power lines are modeled as a straight line, and vertically as a catenary curve. Using a real dataset, the algorithm showed promising results both in terms of outputs and processing time, adding real-time object-based perception capabilities for other layers of processing.

51 citations


Cited by
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Journal ArticleDOI
TL;DR: An overview of both historical and recent USVs development is provided, along with some fundamental definitions, and existing USVs GNC approaches are outlined and classified according to various criteria, such as their applications, methodologies, and challenges.

709 citations

Journal ArticleDOI
TL;DR: A Red Channel method is proposed, where colors associated to short wavelengths are recovered, as expected for underwater images, leading to a recovery of the lost contrast, and achieves a natural color correction and superior or equivalent visibility improvement when compared to other state-of-the-art methods.

584 citations

Proceedings ArticleDOI
01 Sep 2008
TL;DR: In this article, the authors provide a review of the field of unmanned surface vehicles (USVs) and autonomous surface craft (ASCs). And they discuss the enabling technologies that have allowed USVs to emerge as a viable platform for marine operations.
Abstract: To celebrate the 40th Anniversary of the Oceanic Engineering Society (OES) at the MTS/IEEE OCEANS 2008 Conference in Quebec City a series of review papers were requested from OES technical committee chairs. In response to that request this paper provides a review of the field of unmanned surface vehicles (USVs) and autonomous surface craft (ASCs). The paper discusses the enabling technologies that have allowed USVs to emerge as a viable platform for marine operations as well as the application areas where they offer value. The paper tracks developments in technology from early systems developed by the author in 1993 through the latest developments and demonstration programs. The future outlook for USV technology is also described.

359 citations