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Updated: Jun 9, 2025

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

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Evaluating Mobile LiDAR Intensity Data for Inventorying Durable Tape Pavement Markings.

Gregory L Brinster¹, Mona Hodaei¹, Aser M Eissa¹

¹Joint Transportation Research Program, Lyles School of Civil and Construction Engineering, College of Engineering, Purdue University, West Lafayette, IN 47907, USA.

Sensors (Basel, Switzerland)

|October 26, 2024

Summary

This summary is machine-generated.

Mobile LiDAR effectively identifies durable pavement markings versus traditional paint, crucial for autonomous vehicles. This technology aids agencies in maintaining road markings, especially in cold climates, by distinguishing between materials needing repainting and those requiring preservation.

Keywords:

LiDAR pavement markings preformed tape

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Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

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Published on: August 29, 2019

Area of Science:

Transportation Engineering
Road Safety
Autonomous Vehicle Technology

Background:

Lane marking visibility is critical for road users, especially autonomous vehicles.
Nighttime retroreflectivity is challenging to maintain, particularly in cold climates due to snowplow damage.
Durable pavement markings offer longer lifespans and higher retroreflectivity than traditional paint.

Purpose of the Study:

To evaluate the use of mobile mapping LiDAR systems for classifying and assessing pavement markings.
To differentiate between durable tape markings and traditional paint lines.
To support accurate pavement marking inventory management for maintenance planning.

Main Methods:

Utilized mobile mapping LiDAR systems to collect data along a 73-mile section of I-74 in Indiana.
Analyzed LiDAR intensity data to classify pavement markings as tape or non-tape.
Validated LiDAR classifications using concurrently collected RGB images.

Main Results:

LiDAR intensity data successfully classified pavement markings, distinguishing between tape and non-tape types.
Identified specific areas of tape markings requiring maintenance.
RGB imagery confirmed the accuracy of the LiDAR-based classification.

Conclusions:

Mobile LiDAR systems provide an effective method for creating accurate pavement marking inventories.
This technology enables agencies to optimize maintenance by identifying specific needs for repainting or repair.
LiDAR facilitates long-term tracking of marking intensity and material lifecycles, improving infrastructure management.