Intersections Gallery
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Tunnels and Underground Cities. Engineering and Innovation Meet Archaeology, Architecture and Art
Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art. Volume 7: Long and Deep Tunnels contains the contributions presented in the eponymous Technical Session during the World Tunnel Congress 2019 (Naples, Italy, 3-9 May 2019). The use of underground space is continuing to grow, due to global urbanization, public demand for efficient transportation, and energy saving, production and distribution. The growing need for space at ground level, along with its continuous value increase and the challenges of energy saving and achieving sustainable development objectives, demand greater and better use of the underground space to ensure that it supports sustainable, resilient and more liveable cities. The contributions cover a wide range of topics, from studying tunnels in squeezing ground conditions, via case studies on the Brenner Base Tunnel, the second Gotthard Tunnel, CERN (HL-LHCand the Dubai Strategic Sewerage Tunnel, to TBM steering difficulties. The book is a valuable reference text for tunnelling specialists, owners, engineers, archaeologists, architects, artists and others involved in underground planning, design and building around the world, and for academics who are interested in underground constructions and geotechnics.
Video Based Machine Learning for Traffic Intersections
Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts
All Amazed
All Amazed celebrates the life and work of the late Roy Kiyooka (1926-1994), one of Canada's first multi-disciplinary artists whose work transcended categorical and cultural exclusivity. At various periods of his life, Kiyooka was a painter, sculptor, teacher, poet, musician, filmmaker, and photographer. When Kiyooka arrived in Vancouver in 1959, he was already one of Canada's most respected abstract painters. His modernist stance at the time inspired a generation of Vancouver painters to reach beyond regionalism. In the sixties and seventies, Kiyooka began to write and publish poetry and produce photographic works; the best known of these, StoneDGloves (1969-1970), is both a poetic and photographic project. In all of his projects, he saw the position of the artist as being in opposition to the institutions of art. The shape and scope of Kiyooka's work continues to be revealed, seven years after his death. Based on a major multidisciplinary conference at the University of British Columbia organized by such luminaries as Michael Ondaatje, Daphne Marlatt, Scott Watson, and John O'Brian, All Amazed pays tribute to a remarkable artist and poet who continues to amaze and astound us. Includes essays by Roy Miki, Henry Tsang, Sheryl Conkelton, and Scott Toguri McFarlane, as well as numerous black and white images of Kiyooka's artwork.