Michael A. Chapman

Affiliations:
  • Toronto Metropolitan University, Department of Civil Engineering, Toronto, ON, Canada


According to our database1, Michael A. Chapman authored at least 20 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery.
CoRR, 2024

2023
Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Robust Lane Extraction From MLS Point Clouds Towards HD Maps Especially in Curve Road.
IEEE Trans. Intell. Transp. Syst., 2022

BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.
IEEE Trans. Intell. Transp. Syst., 2022

Assessing the Impact of Covid-19 on Human Activities in the Greater Toronto Area by Nighttime Light Images and Active Covid-19 Cases.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Automated Detection of Oil/Gas Well Sites Detection from Multi-Source High Spatial Resolution Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments.
IEEE Trans. Intell. Transp. Syst., 2021

Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data.
IEEE Trans. Intell. Transp. Syst., 2020

2019
Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2018
Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework.
IEEE Trans. Geosci. Remote. Sens., 2018

Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Quantifying the Carbon Storage in Urban Trees Using Multispectral ALS Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Road Surface Monitoring Using Smartphone Sensors: A Review.
Sensors, 2018

Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.
Remote. Sens., 2018

2015
Automated Road Information Extraction From Mobile Laser Scanning Data.
IEEE Trans. Intell. Transp. Syst., 2015

Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2015

2013
Process virtualization of large-scale lidar data in a cloud computing environment.
Comput. Geosci., 2013

2010
Segmentation of SAR Intensity Imagery With a Voronoi Tessellation, Bayesian Inference, and Reversible Jump MCMC Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2010


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