Automatic Generation of Large-scale 3D Road Networks based on GIS Data

03/15/2021
by   Hua Wang, et al.
0

How to automatically generate a realistic large-scale 3D road network is a key point for immersive and credible traffic simulations. Existing methods cannot automatically generate various kinds of intersections in 3D space based on GIS data. In this paper, we propose a method to generate complex and large-scale 3D road networks automatically with the open source GIS data, including satellite imagery, elevation data and two-dimensional(2D) road center axis data, as input. We first introduce a semantic structure of road network to obtain high-detailed and well-formed networks in a 3D scene. We then generate 2D shapes and topological data of the road network according to the semantic structure and 2D road center axis data. At last, we segment the elevation data and generate the surface of the 3D road network according to the 2D semantic data and satellite imagery data. Results show that our method does well in the generation of various types of intersections and the high-detailed features of roads. The traffic semantic structure, which must be provided in traffic simulation, can also be generated automatically according to our method.

READ FULL TEXT

page 3

page 8

page 10

page 11

page 12

page 13

page 14

research
10/28/2021

A GIS Data Realistic Road Generation Approach for Traffic Simulation

Road networks exist in the form of polylines with attributes within the ...
research
06/10/2020

CNN-Based Semantic Change Detection in Satellite Imagery

Timely disaster risk management requires accurate road maps and prompt d...
research
01/11/2022

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles

Traffic forecasting models rely on data that needs to be sensed, process...
research
06/20/2023

RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation

Large-scale road surface reconstruction is becoming important to autonom...
research
04/22/2019

City-scale Road Extraction from Satellite Imagery

Automated road network extraction from remote sensing imagery remains a ...
research
06/27/2013

Traffic data reconstruction based on Markov random field modeling

We consider the traffic data reconstruction problem. Suppose we have the...
research
02/28/2021

Snowy Night-to-Day Translator and Semantic Segmentation Label Similarity for Snow Hazard Indicator

In 2021, Japan recorded more than three times as much snowfall as usual,...

Please sign up or login with your details

Forgot password? Click here to reset