Author

Mohammed Chaman

Observed institution: Université Ibn-Tofail

ORCID: 0009-0005-2582-5281

Observed ORCID: 0009-0005-2582-5281

OpenAlex ID: A5117172146

Benchmarking YOLO-based deep learning models for real-time object detection in hybrid ADAS and intelligent transportation systems

2025 · Mohammed Chaman, Anas El Maliki, et al. · Results in Engineering · 30

Comparative Analysis of Deep Neural Networks YOLOv11 and YOLOv12 for Real-Time Vehicle Detection in Autonomous Vehicles

2025 · Mohammed Chaman, Anas El Maliki, et al. · International Journal of Transport Development and Integration · 23

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A Real-Time Vehicle Detection System for ADAS in Autonomous Vehicles Using YOLOv11 Deep Neural Network on Embedded Edge Platforms

2025 · Mohammed Chaman, Anas El Maliki, et al. · Engineering Technology & Applied Science Research · 17

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Enhanced Deep Neural Network-Based Vehicle Detection System Using YOLOv11 for Autonomous Vehicles

2025 · Mohammed Chaman, Anas El Maliki, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · 13

Deep Learning-Based Speed Limit Sign Detection Using YOLOv11 Applied to Speed Regulation in Electric Vehicles for ADAS

2025 · Mohammed Chaman, Anas El Maliki, et al. · Engineering Technology & Applied Science Research · 9

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Deep learning–based real time speed limit sign detection with YOLOv12 on edge AI platforms for embedded ADAS

2026 · Mohammed Chaman, Anas El Maliki, et al. · Bulletin of Electrical Engineering and Informatics · 6

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Real-Time Vehicle Detection and Instance Segmentation for ADAS Using the YOLOv11-SEG Model: A Deep Learning Approach

2025 · Mohammed Chaman, Anas El Maliki, et al. · International Conference on Circuit, Systems and Communication (ICCSC) · 5

Traffic Sign Detection System Using YOLOv11 Within Intelligent Transport Systems for Enhanced ADAS Performance with Deep Learning

2025 · Mohammed Chaman, Anas El Maliki, et al. · International Conference on Circuit, Systems and Communication (ICCSC) · 5

Advancing Vehicular Intelligence: A Comparative Study of IoV and ADAS Technologies

2025 · Hamza El Yanboiy, Mohammed Chaman, et al. · International Conference on Circuit, Systems and Communication (ICCSC) · 5

Deep Learning-Based Traffic Sign Detection and Regression Using YOLOv10

2025 · Mohammed Chaman, Hamad Dahou, et al. · Lecture notes in networks and systems · 5

YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS

2025 · Mohammed Chaman, Anas El Maliki, et al. · International Journal of Safety and Security Engineering · 3

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Integrating AI and IoT for the Implementation of Skin Cancer Detection in Hospital 4.0

2025 · Azzedine El mrabet, Imam Alihamidi, et al. · International Conference on Circuit, Systems and Communication (ICCSC) · 3

DriveEdgeAI: An Embedded Platform for Real-Time Road Anomaly Detection Using YOLO11 for ADAS Applications

2026 · Mohammed Chaman, Mohamed Benaly, et al. · Computers · 2

A Hardware-Aware Analysis of PTQ and QAT Quantized CNNs for Object Detection on FPGA

2026 · Noura Jariri, Kaoutar Allabouche, et al. · Engineering Technology & Applied Science Research · 2

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Evaluating HLS4ML For Converting a CNN Model Into High Level Synthesis

2025 · Noura Jariri, Mohammed Chaman, et al. · International Conference on Advanced Research in Computing (ICARC) · 2

EdgeLane-SEG: an energy-efficient embedded edge AI framework for real-time road marking and lane lines detection with instance segmentation in ADAS and autonomous driving

2026 · Mohammed Chaman, Anas El Maliki, et al. · Frontiers in Artificial Intelligence · 1

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Fog & V2V: A CARLA-Based Comparative Study of No Perception, Degraded Sensors, and Cooperative Alerts with MPC-Based Collision Avoidance

2026 · Hamza El Yanboiy, Mohammed Chaman, et al. · Vehicles · 1

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Detection and Instance Segmentation of Road Markings and Lane Lines Using YOLOv11-SEG for ADAS and Autonomous Driving

2025 · Mohammed Chaman, Anas El Maliki, et al. · International Conference on Electrical Systems & Automation (ICESA) · 1

YOLO-Gr: An AIoT-Enabled Mobile–Edge–Cloud Framework with an Improved YOLO26 for Real-Time Grapevine Disease Detection and Smart Vineyard Monitoring

2026 · Mohammed Chaman, Anas El Maliki, et al. · Smart Agricultural Technology

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Internet of Vehicles and V2X Communications: A Review of Architectures, Applications, and Future Challenges

2026 · Hamza El Yanboiy, Mohammed Chaman, et al. · International Conference on Circuit, Systems and Communication (ICCSC)

Design and Realization of a Regenerative Aerodynamic System for Electric Vehicles

2026 · Hamad Dahou, Mohammed Chaman, et al. · International Conference on Circuit, Systems and Communication (ICCSC)

A Deep Learning and Edge Ai-Based Embedded Systems for Automotive Applications in Towards Internet of Autonomous Vehicles (IoAV)

2026 · Mohammed Chaman, Anas El Maliki, et al. · International Conference on Circuit, Systems and Communication (ICCSC)

Edge AI and Embedded Systems in the Internet of Medical Things: Architectures, Applications, and Challenges

2026 · Anas El Maliki, Mohammed Chaman, et al. · International Conference on Circuit, Systems and Communication (ICCSC)

Deep Learning-Based Automatic Detection of Pin Misalignment in Automotive Connectors Using Convolutional Neural Networks

2026 · Mohammed Bouabdellaoui, Hamza El Yanboiy, et al. · International Conference on Circuit, Systems and Communication (ICCSC)

Design and Evaluation of a Chopper-Stabilized Current-Feedback Instrumentation Amplifier for EEG and Biopotential Acquisition

2026 · Younes Laababid, Mohammed Habib, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

Works count: 32

Citation count: 133

H-index: 6

I10-index: 4