CityGML-based Representation of Urban River Environments using Waterborne MMS Point Cloulds with LOD-Aware Modeling
Kantaro Kanai(a*), Tetsu Yamaguchi(a), Nobuaki Kubo(b), Etsuro Shimizu(b),Masafumi Nakagawa(a)

a) Shibaura Institute of Technology, Japan
*ah20005[at]shibaura-it.ac.jp
b) Tokyo University of Marine Science and Technology, Japan

Abstract

CityGML is open data in XML format that can be used for various purposes, such as urban planning and disaster simulations, in the form of a 3D urban model. CityGML uses the concept of LOD (level of detail) to enable the integrated management of map data at different scales. However, there is a problem that LOD design and schema considerations for modeling landforms are insufficient in urban river environments. Additionally, traditional surveying methods such as aerial photogrammetry, mobile mapping systems (MMS), and ground-based laser surveying often encounter areas where observation is difficult. The current version of PLATEAU has not sufficiently advanced the development of, high resolution 3D map data for river environments. This study focuses on the 3D modeling of urban river environments. The goal is to promote the effective use of urban rivers by describing them with CityGML. One consideration is autonomous boat navigation technology, which requires precise GNSS/non-GNSS seamless positioning technology, autonomous control technology, and 3D river maps. Therefore, this study aims to create 3D maps for autonomous boats in urban rivers. To achieve this goal, we acquired point clouds from waterborne MMS, developed methods for assigning attributes to objects in urban river environments, and modeled them based on LOD levels. We also, investigated methods for describing the generated 3D models using CityGML. The 3D model can be used as maps for autonomous boats and are expected to support in the maintenance and management of river infrastructure.

Keywords: Water-borne mobile mapping, CityGML, 3D modeling, LOD

Topic: Topic D: Geospatial Data Integration