Expanding Mobile Terrestrial Laser Scanning Capability and Capacity Throughout Caltrans

Yen, Kin; Donecker, Stephen; Ravani, Bahram; Lasky, Ty A.

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Expanding Mobile Terrestrial Laser Scanning Capability and Capacity Throughout Caltrans

2018-02-22
By Yen, Kin ; Donecker, Stephen ; Ravani, Bahram

File Language:

English

Details

Creators:

Yen, Kin ; Donecker, Stephen ; Ravani, Bahram ; Lasky, Ty A.
Corporate Creators:

University of California, Davis. Dept. of Mechanical and Aeronautical Engineering. AHMCT Center
Corporate Contributors:

California. Dept. of Transportation. Division of Research, Innovation, and System Information
Subject/TRT Terms:
Publication/ Report Number:

CA18-2729
Resource Type:

Tech Report
Geographical Coverage:

California ; United States
Edition:

Final Report February 2015 – February 2018
Corporate Publisher:

California. Dept. of Transportation. Division of Research and Innovation
Abstract:

The purpose of this research included maintaining Caltrans’ existing Mobile Terrestrial Laser Scanning (MTLS) capability and capacity in Northern California and expanding Caltrans’ MTLS capability and capacity in Central and Southern California. The research methods included training Central and Southern California surveyors, providing deployment support for Central and Southern California, executing case studies for MTLS pilot projects, assessing agency needs to determine whether to share the existing MTLS system or to procure another one, updating MTLS specifications based on previous findings, and evaluating Central and Southern California IT resource needs for MTLS post-processing. AHMCT researchers worked with the Caltrans Office of Land Surveys as well as Caltrans districts in this project. The researchers also updated MTLS specifications in support of procurement and provided advice for the new MTLS system installation.
Format:

PDF
Funding:

65A0546
Download URL:

https://rosap.ntl.bts.gov/view/dot/61929/dot_61929_DS1.pdf
File Type:

[PDF - 4.33 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:0feb568a47a098d097db67ec474c3317642cb0f34861c68a63f77fe03067d8a3

File Language:

English

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