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Title:Uses and Challenges of Collecting LiDAR Data from a Growing Autonomous Vehicle Fleet: Implications for Infrastructure Planning and Inspection Practices
Authors:Md Ashikur Rahman and Michelle M. Mekker
University:Utah State University
Publication Date:Mar 2021
Report #:MPC-21-427
Project #:MPC-577
TRID #:01770406
Keywords:autonomous vehicles, data collection, data management, inspection, laser radar
Type:Research Report – MPC Publications

 

Abstract

Autonomous vehicles (AVs) that utilize LiDAR (Light Detection and Ranging) and other sensing technologies are becoming more prevalent in the transportation industry. Concurrently, transportation agencies are increasingly challenged with asset management, traffic operations, and safety assessments. The affordability of LiDAR technology continues to increase. Given this, there will be substantial challenges and opportunities for the utilization of big data resulting from the growth of AVs with LiDAR. A proper understanding of the data size generated from this technology will help agencies in making decisions regarding storage, management, and transmission of the data.

This study explored the point cloud data size generated from a 16-beam LiDAR sensor unit at different operating modes and driving speeds with a mobile platform in the highway environment. Two types of roadway (collector and arterial) with three different sections (travel lanes, right of way, and unfiltered/total) were considered in this study for data collection. Conservative projections show an estimated total data size ranging from 1 to 3.5 gigabytes for 10,000 vehicle-miles traveled using the selected LiDAR unit. AVs will likely use multiple and/or higher resolution units. This study also developed simple models for estimating data size based on LiDAR operating mode and collection period duration.

How to Cite

Rahman, Md Ashikur, and Michelle M. Mekker. Uses and Challenges of Collecting LiDAR Data from a Growing Autonomous Vehicle Fleet: Implications for Infrastructure Planning and Inspection Practices, MPC-21-427. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2021.

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