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Browsing ISEP – LSA – Artigos by Author "Almeida, Carlos"
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- Forest fire detection with a small fixed wing autonomous aerial vehiclePublication . Martins, Alfredo; Almeida, José; Almeida, Carlos; Figueiredo, André; Santos, Filipe; Bento, Domingos; Silva, Hugo; Silva, EduardoIn this work a forest fire detection solution using small autonomous aerial vehicles is proposed. The FALCOS unmanned aerial vehicle developed for remote-monitoring purposes is described. This is a small size UAV with onboard vision processing and autonomous flight capabilities. A set of custom developed navigation sensors was developed for the vehicle. Fire detection is performed through the use of low cost digital cameras and near-infrared sensors. Test results for navigation and ignition detection in real scenario are presented.
- Manoeuvre Based Mission Control System for an Autonomous Surface VehiclePublication . Dias, Nuno; Almeida, Carlos; Ferreira, Hugo; Almeida, José; Martins, Alfredo; Dias, André; Silva, EduardoIn this work the mission control and supervision system developed for the ROAZ Autonomous Surface Vehicle is presented. Complexity in mission requirements coupled with flexibility lead to the design of a modular hierarchical mission control system based on hybrid systems control. Monitoring and supervision control for a vehicle such as ROAZ mission is not an easy task using tools with low complexity and yet powerful enough. A set of tools were developed to perform both on board mission control and remote planning and supervision. “ROAZ- Mission Control” was developed to be used in support to bathymetric and security missions performed in river and at seas.
- Radar Based Collision detection developments on USV ROAZ IIPublication . Almeida, Carlos; Franco, Tiago; Ferreira, Hugo; Martins, Alfredo; Santos, Ricardo; Almeida, José Miguel; Carvalho, João; Silva, EduardoThis 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.
- ROAZ and ROAZ II Autonomous Surface Vehicle Design and ImplementationPublication . Martins, Alfredo; Ferreira, Hugo; Almeida, Carlos; Silva, Hugo; Almeida, José Miguel; Silva, EduardoThe design and implementation of the ROAZ and ROAZ II autonomous surface vehicles (ASV) is presented. These systems were developed at Autonomous Systems Lab, ISEP/IPP – Instituto Superior de Engenharia do Porto under a research program in marine robotics. With multiple applications either in river and estuarine environments or in the sea, the system applications in search and rescue operations are addressed and were taken in consideration for the overall system design. Mechanical design issues are discussed. Hardware, software and implementation status are described along with the control and navigation system architecture. The real time vision processing system is described and results are presented in operational scenario.
- TIGRE - An autonomous ground robot for outdoor explorationPublication . Martins, Alfredo; Amaral, Guilherme; Dias, André; Almeida, Carlos; Almeida, José; Silva, EduardoIn this paper we present an autonomous ground robot developed for outdoor applications in unstructured scenarios. The robot was developed as a versatile robotics platform for development, test and validation of research in navigation, control, perception and multiple robot coordination on all terrain scenarios. The hybrid systems approach to the control architecture is discussed in the context of multiple robot coordination. The robot modular hardware and software architecture allows for a wide range of mission applications. A precise navigation system based on high accuracy GPS is used for accurate 3D environment mapping tasks. The vision system is also presented along with some example results from stereo target tracking in operational environment.
- UAV Trials for Multi-Spectral Imaging Target Detection and Recognition in Maritime EnvironmentPublication . Silva, Hugo; Soares Almeida, José Miguel; Lopes, Flávio; Ribeiro, J.P.; Freitas, Sara; Amaral, Guilherme; Almeida, Carlos; Martins, Alfredo; Silva, EduardoThis paper addresses the use of heterogeneous sensors for target detection and recognition in maritime environment. An Unmanned Aerial Vehicle payload was assembled using hyperspectral, infrared, electro-optical, AIS and INS information to collect synchronized sensor data with vessel ground-truth position for conducting air and sea trials. The data collected is used to develop automated robust methods for detect and recognize vessels based on their exogenous physical characteristics and their behaviour across time. Data Processing preliminary results are also presented.
- Underwater Localization System Combining iUSBL with Dynamic SBL in ¡VAMOS! TrialsPublication . Almeida, José; Matias, Bruno; Ferreira, António João; Almeida, Carlos; Martins, Alfredo; Silva, EduardoEmerging opportunities in the exploration of inland water bodies, such as underwater mining of flooded open pit mines, require accurate real-time positioning of multiple underwater assets. In the mining operation scenarios, operational requirements deny the application of standard acoustic positioning techniques, posing additional challenges to the localization problem. This paper presents a novel underwater localization solution, implemented for the ¡VAMOS! project, based on the combination of raw measurements from a short baseline (SBL) array and an inverted ultrashort baseline (iUSBL). An extended Kalman filter (EKF), fusing IMU raw measurements, pressure observations, SBL ranges, and USBL directional angles, estimates the localization of an underwater mining vehicle in 6DOF. Sensor bias and the speed of sound in the water are estimated indirectly by the filter. Moreover, in order to discard acoustic outliers, due to multipath reflections in such a confined and cluttered space, a data association layer and a dynamic SBL master selection heuristic were implemented. To demonstrate the advantage of this new technique, results obtained in the field, during the ¡VAMOS! underwater mining field trials, are presented and discussed.