Christopher Dahlin Rodin

TL;DR: This paper explores the use of UAS in maritime Search And Rescue (SAR) missions by using experimental data to detect and classify objects at the sea surface by using a Convolutional Neural Network.

TL;DR: A real-time path-planning solution using multiple cooperative UAVs for SAR missions is proposed, using the technique of Particle Swarm Optimization to solve a Model Predictive Control (MPC) problem that aims to perform search in a given area of interest, following the directive of international standards of SAR.

TL;DR: A practical method that includes meteorological forecast information in order to obtain the most energy efficient path of a fixed-wing aircraft and takes into consideration the aircraft performance, including the effects of en-route winds and the power required for active electro-thermal icing protection systems to mitigate the effectsof icing.

TL;DR: This paper evaluates the results of an edge detection algorithm on images from two commercial off-the-shelf camera system – one visual light and one thermal – and draws conclusions on the detectability of objects which commonly needs to be detected at the sea surface.

TL;DR: This paper surveys useful methodologies for designing a stabilized optical imaging system by presenting an overview of the important aspects that must be addressed in the designing phase and which tools and techniques are available and should be chosen according to the design requirements.