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Eduardo Silva

Researcher at Polytechnic Institute of Porto

Publications -  129
Citations -  1278

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.

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Proceedings ArticleDOI

Autonomous bathymetry for risk assessment with ROAZ robotic surface vehicle

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.
Proceedings ArticleDOI

Radar based collision detection developments on USV ROAZ II

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.
Proceedings ArticleDOI

Autonomous Surface Vehicle Docking Manoeuvre with Visual Information

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.
Proceedings ArticleDOI

SWORDFISH: an Autonomous Surface Vehicle for Network Centric Operations

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).
Journal ArticleDOI

LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles

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.