Yaw Adu-Gyamfi

According to our database1, Yaw Adu-Gyamfi authored at least 28 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras.
CoRR, 2024

3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data.
CoRR, 2024

2023
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension.
SoftwareX, December, 2023

Driver Head Pose Detection From Naturalistic Driving Data.
IEEE Trans. Intell. Transp. Syst., September, 2023

Image2PCI - A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images.
CoRR, 2023

Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation.
CoRR, 2023

Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs.
CoRR, 2023

AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment.
CoRR, 2023

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Survey on Driver Behavior Analysis From In-Vehicle Cameras.
IEEE Trans. Intell. Transp. Syst., 2022

GC-GRU-N for Traffic Prediction using Loop Detector Data.
CoRR, 2022

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification.
CoRR, 2022

The 1st Data Science for Pavements Challenge.
CoRR, 2022

Multi-Purpose, Multi-Step Deep Learning Framework for Network-Level Traffic Flow Prediction.
Adv. Data Sci. Adapt. Anal., 2022

A Region-Based Deep Learning Approach to Automated Retail Checkout.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Mobile Sensing for Multipurpose Applications in Transportation.
CoRR, 2021

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees.
CoRR, 2021

2020
Artificial Intelligence Enabled Traffic Monitoring System.
CoRR, 2020

Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis.
CoRR, 2020

Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index.
CoRR, 2020

Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding.
Adv. Data Sci. Adapt. Anal., 2020

Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
PID: A New Benchmark Dataset to Classify and Densify Pavement Distresses.
CoRR, 2019

2018
Automated Road Crack Detection Using Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2015
Reliability of Probe Speed Data for Detecting Congestion Trends.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2012
Multiresolution Information Mining for Pavement Crack Image Analysis.
J. Comput. Civ. Eng., 2012

2010
Critical Analysis of Different Hilbert-Huang Algorithms for Pavement Profile Evaluation.
J. Comput. Civ. Eng., 2010


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