IEEE Access
(Jan 2024)
Corrections to “Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada”
Teena Sharma,
Abdellah Chehri,
Issouf Fofana,
Shubham Jadhav,
Siddhartha Khare,
Benoit Debaque,
Nicolas Duclos-Hindie,
Deeksha Arya
Affiliations
Teena Sharma
ORCiD Department of Applied Sciences (DSA), University of Quebec at Chicoutimi, Saguenay, QC, Canada
Abdellah Chehri
ORCiD Department of Mathematics and Computer Science, Royal Military College of Canada, Kingston, QC, Canada
Issouf Fofana
ORCiD Department of Applied Sciences (DSA), University of Quebec at Chicoutimi, Saguenay, QC, Canada
Shubham Jadhav
ORCiD Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee, India
Siddhartha Khare
ORCiD Department of Civil Engineering, Geomatics Engineering Section, Indian Institute of Technology Roorkee, Roorkee, India
Benoit Debaque
Thales Research and Technology, Quebec, QC, Canada
Nicolas Duclos-Hindie
Thales Research and Technology, Quebec, QC, Canada
Deeksha Arya
ORCiD Centre for Spatial Information Science, University of Tokyo, Tokyo, Japan
DOI
https://doi.org/10.1109/ACCESS.2024.3486937
Journal volume & issue
Vol. 12
Abstract
Read online
Presents corrections to the paper, (Corrections to “Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada”).
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