Efficient Extraction and Evaluation of Complex Pavement Markings from Mobile Laser Scan Data [supporting dataset]

Jung, Jaehoon; Olsen, Michael J.; Pacific Northwest Transportation Consortium; Oregon State University

doi:10.7910/DVN/0STTJR

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

Efficient Extraction and Evaluation of Complex Pavement Markings from Mobile Laser Scan Data [supporting dataset]

[PDF-139.01 KB]

English

Details Supporting Files Publications You May Also Like

Details:

Alternative Title:

Extracted and classified road markings from a mobile lidar dataset collected in Philomath, OR. [Dataset title]
Creators:

Jung, Jaehoon ; Olsen, Michael J.

Jung, Jaehoon ; Olsen, Michael J. Less -
Corporate Creators:

Pacific Northwest Transportation Consortium ; Oregon State University

Pacific Northwest Transportation Consortium ; Oregon State University Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Classification Data Collection Information Processing Laser Radar Lidar Point Cloud Road Markings Segmentation (Communications) Surface Course (Pavements) Validation
DOI:

https://doi.org/10.7910/DVN/0STTJR
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Pacific Northwest Transportation Consortium
Abstract:

The dataset is an annotated point cloud in ASPRS LAS v1.2 format, which is annotated with different classification numbers representing six different road markings, including lane markings (1), pedestrian crosswalk and text (2), bike (3), left arrow (4), right arrow (5), straight arrow (6), and others (0). The point cloud dataset was obtained using Oregon Department of Transportation current mobile lidar system (Leica Pegasus:Two). The data were georeferenced in the supporting software for the Leica Pegasus:Two by Oregon DOT. The authors processed the data to extract the road markings using the road marking extraction tool (Rome2) developed in this Pactrans research.
Format:

ZIP
Funding:

69A3551747110
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:7883f8fac7da985b55c257f4b3e6eb701c7eff4e8188b219d6248657e6bbc8ee
Download URL:

https://rosap.ntl.bts.gov/view/dot/56585/dot_56585_DS1.pdf
File Type:

Efficient_Extraction_and_Evaluation_of_Complex_Pavement_Markings_from_Mobile_Laser_Scan_Data.json

json

More +