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LiDAR-based lane marking extraction through intensity thresholding and deep learning approaches: a pavement-based assessment

Published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020

This paper improves lane marking extraction across asphalt and concrete using intensity normalization and deep learning.

Recommended citation: Patel, A., et al. (2020). LiDAR-based Lane Marking Extraction through Intensity Thresholding and Deep Learning Approaches: A Pavement-based Assessment. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Intensity thresholding and deep learning based lane marking extraction and lane width estimation from mobile light detection and ranging (LiDAR) point clouds

Published in Remote Sensing, 2021

This paper dives into lane marking extraction using LiDAR intensity normalization and deep learning, achieving higher accuracy for automated road monitoring.

Recommended citation: Patel, A., et al. (2020). Intensity Thresholding and Deep Learning Based Lane Marking Extraction and Lane Width Estimation from Mobile Light Detection and Ranging (LiDAR) Point Clouds. Remote Sensing, 12(9), 1379.
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Transfer learning for LiDAR-based lane marking detection and intensity profile generation

Published in Geomatics, 2021

This paper fine-tunes a U-Net model for LiDAR-based lane marking extraction, achieving high accuracy while enabling automated detection of worn-out markings.

Recommended citation: Patel, A., et al. Transfer Learning for LiDAR-Based Lane Marking Detection and Intensity Profile Generation. Geomatics 2021, 1, 287-309
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Finding Novel Links in COVID-19 Knowledge Graph Using Graph Embedding Techniques

Published in Smoky Mountains Computational Sciences and Engineering Conference, 2021

This paper leverages graph embeddings and machine learning to predict undiscovered links in a COVID-19 knowledge graph, improving biomedical literature discovery.

Recommended citation: Patel, A., et al. Finding Novel Links in COVID-19 Knowledge Graph Using Graph Embedding Techniques. In Smoky Mountains Computational Sciences and Engineering Conference (pp. 430-441). Cham: Springer International Publishing
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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CE203: Principle of Geomatics

Undergraduate course, Purdue University, Fall 2018, Spring 2019 and Fall 2019

Teaching Assistant across three consecutive semesters. Responsibilities included:

• Delivered lectures during weekly lab session, held office hours and graded weekly lab report submissions
• Taught students operation of surveying instruments: Total station and GPS
• Provided instruction on industry-standard software: ArcGIS and PIX4D