Implementation of Aerial LiDAR Technology to Update Highway Feature Inventory

Song, Ziqi; He, Yi; Liu, Zhaocai; Mountain Plains Consortium

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Implementation of Aerial LiDAR Technology to Update Highway Feature Inventory

2018-07-01
By Song, Ziqi ; He, Yi ; Liu, Zhaocai

[PDF-9.08 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

English

Details You May Also Like

Details:

Creators:

Song, Ziqi ; He, Yi ; Liu, Zhaocai

Song, Ziqi ; He, Yi ; Liu, Zhaocai Less -
Corporate Creators:

Mountain Plains Consortium
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; North Dakota State University

United States. Department of Transportation. University Transportation Centers (UTC) Program ; North Dakota State University Less -
Subject/TRT Terms:

[+]

Algorithms Asset Management Data Collection Highways Image Processing Inventory Laser Radar
Publication/ Report Number:

MPC-18-356
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Mountain Plains Consortium
Abstract:

Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important components of transportation networks. They guide, warn, and protect drivers and regulate traffic. To manage and maintain the regular operation of the highway system, state departments of transportation (DOTs) need reliable and up-to-date information about the location and condition of highway features. The focus of this project is to analyze the capability and strengths of an airborne data collection system in highway inventory data collection. A field experiment was conducted to collect both light detection and ranging (LiDAR) point cloud data and high-resolution aerial imagery data. A comprehensive introduction to highway inventory methodologies, especially airborne LiDAR technology, was provided. An ArcGIS-based algorithm was developed to analyze and process LiDAR data as well as extract desirable features from raw LiDAR point clouds. In addition, a MATLAB-based drainage grate detection algorithm was proposed to demonstrate the effectiveness and economic efficiency of the airborne data collection system. The detection results were compared with a Mandli dataset. An economic comparison between airborne LiDAR and mobile LiDAR was also provided. From the results of this project, we can conclude that airborne LiDAR technology is a promising method for road inventory data collection.
Format:

PDF
Funding:

MPC-462
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:d665bdb2897c6e0e157463c24ba88dad11c82021635b1ff1873008203ebf850b
Download URL:

https://rosap.ntl.bts.gov/view/dot/42399/dot_42399_DS1.pdf
File Type:

No Additional Files

More +

Implementation of Aerial LiDAR Technology to Update Highway Feature Inventory

Details:

Supporting Files

You May Also Like