Automatic segmentation and reconstruction of traffic accident scenarios from mobile laser scanning data

Virtual reconstruction of historic sites, planning of restorations and attachments of new building parts, as well as forest inventory are few examples of fields that benefit from the application of 3D surveying data. Originally using 2D photo based documentation and manual distance measurements, the 3D information obtained from multi camera and laser scanning systems realizes a noticeable improvement regarding the surveying times and the amount of generated 3D information. The 3D data allows a detailed post processing and better visualization of all relevant spatial information. Yet, for the extraction of the required information from the raw scan data and for the generation of useable visual output, time-consuming, complex user-based data processing is still required, using the commercially available 3D software tools. In this context, the automatic object recognition from 3D point cloud and depth data has been discussed in many different works. The developed tools and methods however, usually only focus on a certain kind of object or the detection of learned invariant surface shapes. Although the resulting methods are applicable for certain practices of data segmentation, they are not necessarily suitable for arbitrary tasks due to the varying requirements of the different fields of research. This thesis presents a more widespread solution for automatic scene reconstruction from 3D point clouds, targeting street scenarios, specifically for the task of traffic accident scene analysis and documentation. The data, obtained by sampling the scene using a mobile scanning system is evaluated, segmented, and finally used to generate detailed 3D information of the scanned environment. To realize this aim, this work adapts and validates various existing approaches on laser scan segmentation regarding the application on accident relevant scene information, including road surfaces and markings, vehicles, walls, trees and other salient objects. The approaches are therefore evaluated regarding their suitability and limitations for the given tasks, as well as for possibilities concerning the combined application together with other procedures. The obtained knowledge is used for the development of new algorithms and procedures to allow a satisfying segmentation and reconstruction of the scene, corresponding to the available sampling densities and precisions. Besides the segmentation of the point cloud data, this thesis presents different visualization and reconstruction methods to achieve a wider range of possible applications of the developed system for data export and utilization in different third party software tools

Design revolutions: IASDR 2019 Conference Proceedings. Volume 2: Living, Making, Value

In September 2019 Manchester School of Art at Manchester Metropolitan University was honoured to host the bi-annual conference of the International Association of Societies of Design Research (IASDR) under the unifying theme of DESIGN REVOLUTIONS. This was the first time the conference had been held in the UK. Through key research themes across nine conference tracks – Change, Learning, Living, Making, People, Technology, Thinking, Value and Voices – the conference opened up compelling, meaningful and radical dialogue of the role of design in addressing societal and organisational challenges. This Volume 2 includes papers from Living, Making and Value tracks of the conference

Advances in Intelligent Vehicle Control

This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems

Graphic design as urban design: towards a theory for analysing graphic objects in urban environments

This thesis presents a model for analysing the graphic object as urban object, by considering atypical fields of discourse that contribute to the formation of the object domain. The question: what is graphic design as urban design? directs the research through an epistemological design study comprising: an interrogation of graphic design studio practice and the articulation of graphic design research questions; a review and subsequent development of research strategy, design and method towards the articulation of methodology that reflects the nature of the inquiry; a detailed analysis of five different ways to study and research graphic design as urban design, in geography, language, visual communication, art and design, and urban design. The outcome of the investigation is a model that enables future research in the urban environment to benefit from micro-meso-macrographic analysis. The model endeavours to provide a way to evaluate, design and enhance ‘public places and urban spaces’ (Carmona et al., 2010) by considering different scales of symbolic thought and deed. This has been achieved by acknowledging the relationship between the relatively miniscule detail of graphic symbolism, the point at which this becomes visible through increased scale, and the instances when it dominates the urban realm. Examples are considered that show differences between, for example, the size and spacing of letter shapes on a pedestrian sign, compared to the ‘visual’ impact of an iconic building in the cityscape. In between is a myriad of graphic elements that are experienced and designed by many different professional disciplines and occupations. These are evidenced and explained. Throughout the study an indiscriminating literature review is interwoven with the text, accompanied by tabular information, and visual data in the form of photographs and diagrams. This is mainly research-driven data utilising photographs from fieldwork in Brazil, Canada, Hong Kong, Italy, Portugal, South Korea, United Kingdom, and United States of America. The methodology integrates a transdisciplinary adaptive theory approach derived from sociological research, with graphic method (utilising a wider scope of visual data usually associated with graph theory). The following images provide sixteen examples of artefacts representing the graphic object as urban object phenomenon

Deformation Tracking in Depth and Color Video: An Analysis by Synthesis Approach

The tracking of deforming objects and the reconstruction of deformation in image sequences is one of the current research areas in computer vision. In contrast to rigid scenes, which can be analyzed and reconstructed very well, general deformations come with an infinite number of sub-movements and ways to parametrize them, which makes it very difficult to formulate discrete tracking goals. In contrast to the classic reconstructions based on color data alone, the combination of depth and color video provides tracking algorithms with a data foundation with less room for ambiguities, but also requires new algorithmic approaches to handle different entities and to exploit the available data. This thesis discusses an Analysis by Synthesis (AbS) scheme as an approach to the deformation tracking problem, a method that differs in many key aspects from common reconstruction schemes. It is demonstrated that AbS based deformation reconstruction can reconstruct complex deformations, deal with occlusions and self-occlusions, and can also be used for real-time tracking

User-centred design of smartphone augmented reality in urban tourism context.

Exposure to new and unfamiliar environments is a necessary part of nearly everyone’s life. Effective communication of location-based information through various locationbased service interfaces (LBSIs) became a key concern for cartographers, geographers, human-computer interaction (HCI) and professional designers alike. Much attention is directed towards Augmented Reality (AR) interfaces. Smartphone AR browsers deliver information about physical objects through spatially registered virtual annotations and can function as an interface to (geo)spatial and attribute data. Such applications have considerable potential for tourism. Recently, the number of studies discussing the optimal placement and layout of AR content increased. Results, however, do not scale well to the domain of urban tourism, because: 1) in any urban destination, many objects can be augmented with information; 2) each object can be a source of a substantial amount of information; 3) the incoming video feed is visually heterogeneous and complex; 4) the target user group is in an unfamiliar environment; 5) tourists have different information needs from urban residents. Adopting a User-Centred Design (UCD) approach, the main aim of this research project was to make a theoretical contribution to design knowledge relevant to effective support for (geo)spatial knowledge acquisition in unfamiliar urban environments. The research activities were divided in four (iterative) stages: (1) theoretical, (2) requirements analysis, (3) design and (4) evaluation. After critical analysis of existing literature on design of AR, the theoretical stage involved development of a theoretical user-centred design framework, capturing current knowledge in several relevant disciplines. In the second stage, user requirements gathering was carried out through a field quasi experiment where tourists were asked to use AR browsers in an unfamiliar for them environment. Qualitative and quantitative data were used to identify key relationships, extend the user-centred design framework and generate hypotheses about effective and efficient design. In the third stage, several design alternatives were developed and used to test the hypotheses through a laboratory-based quantitative study with 90 users. The results indicate that information acquisition through AR browsers is more effective and efficient if at least one element within the AR annotation matches the perceived visual characteristics or inferred non-visual attributes of target physical objects. Finally, in order to ensure that all major constructs and relationships are identified, qualitative evaluation of AR annotations was carried out by HCI and GIS domain-expert users in an unfamiliar urban tourism context. The results show that effective information acquisition in urban tourism context will depend on the visual design and delivered content through AR annotations for both visible and non-visible points of interest. All results were later positioned within existing theory in order to develop a final conceptual user-centred design framework that shifts the perspective towards a more thorough understanding of the overall design space for mobile AR interfaces. The dissertation has theoretical, methodological and practical implications. The main theoretical contribution of this thesis is to Information Systems Design Theory. The developed framework provides knowledge regarding the design of mobile AR. It can be used for hypotheses generation and further empirical evaluations of AR interfaces that facilitate knowledge acquisition in different types of environments and for different user groups. From a methodological point of view, the described userbased studies showcase how a UCD approach could be applied to design and evaluation of novel smartphone interfaces within the travel and tourism domain. Within industry the proposed framework could be used as a frame of reference by designers and developers who are not familiar with knowledge acquisition in urban environments and/or mobile AR interfaces

High-dimensional glyph-based visualization and interactive techniques.

The advancement of modern technology and scientific measurements has led to datasets growing in both size and complexity, exposing the need for more efficient and effective ways of visualizing and analysing data. Despite the amount of progress in visualization methods, high-dimensional data still poses a number of significant challenges in terms of the technical ability of realising such a mapping, and how accurate they are actually interpreted. The different data sources and characteristics which arise from a wide range of scientific domains as well as specific design requirements constantly create new special challenges for visualization research. This thesis presents several contributions to the field of glyph-based visualization. Glyphs are parametrised objects which encode one or more data values to its appearance (also referred to as visual channels) such as their size, colour, shape, and position. They have been widely used to convey information visually, and are especially well suited for displaying complex, multi-faceted datasets. Its major strength is the ability to depict patterns of data in the context of a spatial relationship, where multi-dimensional trends can often be perceived more easily. Our research is set in the broad scope of multi-dimensional visualization, addressing several aspects of glyph-based techniques, including visual design, perception, placement, interaction, and applications. In particular, this thesis presents a comprehensive study on one interaction technique, namely sorting, for supporting various analytical tasks. We have outlined the concepts of glyph- based sorting, identified a set of design criteria for sorting interactions, designed and prototyped a user interface for sorting multivariate glyphs, developed a visual analytics technique to support sorting, conducted an empirical study on perceptual orderability of visual channels used in glyph design, and applied glyph-based sorting to event visualization in sports applications. The content of this thesis is organised into two parts. Part I provides an overview of the basic concepts of glyph-based visualization, before describing the state-of-the-art in this field. We then present a collection of novel glyph-based approaches to address challenges created from real-world applications. These are detailed in Part II. Our first approach involves designing glyphs to depict the composition of multiple error-sensitivity fields. This work addresses the problem of single camera positioning, using both 2D and 3D methods to support camera configuration based on various constraints in the context of a real-world environment. Our second approach present glyphs to visualize actions and events "at a glance". We discuss the relative merits of using metaphoric glyphs in comparison to other types of glyph designs to the particular problem of real-time sports analysis. As a result of this research, we delivered a visualization software, MatchPad, on a tablet computer. It successfully helped coaching staff and team analysts to examine actions and events in detail whilst maintaining a clear overview of the match, and assisted in their decision making during the matches. Abstract shortened by ProQuest