Mapping of Pavement Conditions Using Smartphone/Tablet LiDAR Case Study: Sensor Performance Comparison [Research Brief]

Beavers, Calvin; Day, Chad; Krietemeyer, Austin; Peterson, Scott M; Ahn, Yushin; Li, Xiaojun

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Mapping of Pavement Conditions Using Smartphone/Tablet LiDAR Case Study: Sensor Performance Comparison [Research Brief]

2024-06-01
By Beavers, Calvin ; Day, Chad ; Krietemeyer, Austin

File Language:

English

Details

Creators:

Beavers, Calvin ; Day, Chad ; Krietemeyer, Austin ; Peterson, Scott M ; Ahn, Yushin ; Li, Xiaojun
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute
Corporate Contributors:

State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Publication/ Report Number:

2359
Resource Type:

Brief
Geographical Coverage:

United States;Texas
Edition:

Research Brief
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

This project explores the application of the Apple iPad Pro and Apple iPhone equipped with LiDAR technology using free apps that utilize the LiDAR sensor in a more traditional Geomatics Engineering method. It relies heavily on the IMU (inertial measurement unit), the integrated camera, and the single frequency GNSS (global navigation satellite system) sensor for positioning of the device to control the resultant collected data sets. A terrestrial LiDAR scanner, Leica P20, is used to produce the base surface model for comparison.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/75722/dot_75722_DS1.pdf
File Type:

[PDF - 941.57 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:27d68404dbbb839ca2a94a869084a70cf4545ff1d8b65761682b3b8cafddef9d8b3f55cd54e6b8953d540c78b9b26c985ba4fc2ec8294ae275723927a793eb47

File Language:

English

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