Laser Mobile Mapping Standards And Applications In Transportation

This report describes the work that was done to support the development of a chapter for the INDOT Survey Manual on Mobile Mapping. The work includes experiments that were done, data that was collected, analysis that was carried out, and conclusions that were drawn about accuracy of Mobile Terrestrial Laser Scanning (MTLS) systems. The resulting Manual chapter, located in the appendix, defines standards and procedures for preparing, collecting, editing, delivering, exploiting, and archiving electronic mapping data that is created for Indiana Department of Transportation (INDOT). The purpose of the standards and procedures within this manual is to obtain statewide uniformity within the INDOT combined Aerial/Ground Survey process, to establish and maintain MTLS Standards for INDOT and contracted consultants, and allow for all of the project data to be effectively managed from conception to completion. These standards apply to all projects delivered to INDOT by contracted consulting firms, or exchanged internally within INDOT or between state agencies. The standards and procedures are the result of mobile terrestrial laser scanning surveys of two test sites - one urban and one freeway - created for this project. After establishing reference control points on the sites, each site was surveyed by four mobile terrestrial laser scanning vendors. The results from the vendor data over the test sites, in addition to information in published literature, are the basis for the specifications manual. The proposed chapter for the Survey Manual is in Appendix E of this report.

" TRB's National Cooperative Highway Research Program (NCHRP) Report 748: Guidelines for the Use of Mobile LIDAR in Transportation Applications presents guidelines for the application of mobile 3D light detection and ranging (LIDAR) technology to the operations of state departments of transportation. Mobile LIDAR uses laser scanning equipment mounted on vehicles in combination with global positioning systems (GPS) and inertial measurement units (IMU) to rapidly and safely capture large datasets necessary to create highly accurate, high resolution digital representations of roadways and their surroundings. " -- Publisher's description.

" TRB's National Cooperative Highway Research Program (NCHRP) Report 748: Guidelines for the Use of Mobile LIDAR in Transportation Applications presents guidelines for the application of mobile 3D light detection and ranging (LIDAR) technology to the operations of state departments of transportation. Mobile LIDAR uses laser scanning equipment mounted on vehicles in combination with global positioning systems (GPS) and inertial measurement units (IMU) to rapidly and safely capture large datasets necessary to create highly accurate, high resolution digital representations of roadways and their surroundings. " -- Publisher's description.

Lane width evaluation is one of the crucial aspects in road safety inspection. Moreover, lane width is one of the most important attributes of a road digital map for many applications, such as driver assistance systems and risk assessment. Using mobile mapping systems (MMSs) equipped with laser scanners is a safe and cost-effective method for rapidly collecting detailed information about various characteristics along any transportation corridor. This report presents an approach to derive lane width estimates using point clouds acquired from a calibrated mobile mapping system. To derive point clouds with high positional accuracy, estimation of the mounting parameters relating the different laser scanners to the onboard GNSS/INS unit is the foremost and necessary step. This report proposes a multi-unit LiDAR system calibration procedure where the mounting parameters can be estimated through minimizing the normal distance between conjugate planar/linear features in overlapping point clouds derived from different drive-runs. After generating the LiDAR point cloud using the estimated mounting parameters, the road surface can be extracted with the assistance of navigation data, which in turn is used to identify lane markings. Lane markings have a high retro-reflective property that will be exhibited as high-intensity points when scanned by a laser scanner. This property can be used to distinguish lane markings from the extracted road surface in the LiDAR point cloud. Then, non-lane marking points among the extracted high-intensity points are identified and removed. Next, the lane marking centerline is derived for lane width estimation.

Pavement and Asset Management contains contributions from the World Conference on Pavement and Asset Management (WCPAM 2017, Baveno, Italy, 12-16 June 2017). For the first time, the European Pavement and Asset Management Conference (EPAM) and the International Conference on Managing Pavement Assets (ICMPA) were joining forces for a global event that aimed not only at academics and researchers, but also at practitioners, engineers and technicians dealing with everyday tasks and responsibilities related to transport infrastructures pavement and asset management. Pavement and Asset Management covers a wide range of topics, from emerging research to engineering practice, and is grouped under the following themes: - Data quality and monitoring - Economics, political and environmental management, strategies - Deterioration models - Key performance indicators - PMS-case studies - Design and materials - M&R treatments - LCA & LCCA - Risk and safety - Bridge and tunnel management - Smart infrastructure and IT Pavement and Asset Management will be valuable to academics and professionals interested and/or involved in issues related to transport infrastructures pavement and asset management.

This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects. Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their quality Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins Bridges the gap between the theoretical aspects and real-life applications of computer vision

Pavement Engineering will cover the entire range of pavement construction, from soil preparation to structural design and life-cycle costing and analysis. It will link the concepts of mix and structural design, while also placing emphasis on pavement evaluation and rehabilitation techniques. State-of-the-art content will introduce the latest concepts and techniques, including ground-penetrating radar and seismic testing. This new edition will be fully updated, and add a new chapter on systems approaches to pavement engineering, with an emphasis on sustainability, as well as all new downloadable models and simulations.