North/South Infrastructure Development via Cross-border PPP Mechanism

Both Northern Ireland and Republic of Ireland governments recognise the current infrastructural deficits in their respective jurisdictions which, if not addressed, will undermine the future economic prosperity of both regions. This paper considers the adoption of a collaborative approach on the island to addressing the deficit, using public private partnerships (PPP) as the delivery vehicle. It presents a critical perspective of the challenges and opportunities posed by adopting such a cross-border approach. Whilst PPPs have the potential to bring about North-South co-operation, bridge gaps in infrastructure capacity and facilitate the advancement of sectoral knowledge, their adoption on a cross border basis will require significant reorganisation and change at administrative and sectoral levels. This review concludes that governments and construction sector representatives in Northern Ireland and the Republic of Ireland have still some work to do in order to enhance the capability and readiness of public and private partners to evolve an all-island PPP infrastructure development approach.

Fast model based feature matching technique applied to airport lighting

The use of image processing techniques to assess the performance of airport landing lighting using images of it collected from an aircraft-mounted camera is documented. In order to assess the performance of the lighting, it is necessary to uniquely identify each luminaire within an image and then track the luminaires through the entire sequence and store the relevant information for each luminaire, that is, the total number of pixels that each luminaire covers and the total grey level of these pixels. This pixel grey level can then be used for performance assessment. The authors propose a robust model-based (MB) featurematching technique by which the performance is assessed. The development of this matching technique is the key to the automated performance assessment of airport lighting. The MB matching technique utilises projective geometry in addition to accurate template of the 3D model of a landing-lighting system. The template is projected onto the image data and an optimum match found, using nonlinear least-squares optimisation. The MB matching software is compared with standard feature extraction and tracking techniques known within the community, these being the Kanade–Lucus–Tomasi (KLT) and scaleinvariant feature transform (SIFT) techniques. The new MB matching technique compares favourably with the SIFT and KLT feature-tracking alternatives. As such, it provides a solid foundation to achieve the central aim of this research which is to automatically assess the performance of airport lighting.