Computer Vision and Pattern Recognition, Signal Processing, Inorganic Chemistry
6
Scopus Publications
6
Scholar Citations
2
Scholar h-index
Scopus Publications
YOLO v9-S Net: YOLO V9 Squeeze SegNet for Object Detection Using Vehicle Image Selvamuthukumar Thirumavalavan, Vijayalakshmi Kaliyaperumal, Abinaya Ramaiyan, Dhanalakshmi Pattusamy Journal of Field Robotics, 2026 Object detection plays a vital role in autonomous driving vehicular systems and intelligent transportation for better environment perception by understanding and analyzing the scenes. Accurate and real‐time object detection is critical for autonomous driving and intelligent transportation systems to perceive and understand complex traffic environments. However, existing object detection techniques often suffer from high computational costs and longer processing times, limiting their efficiency in real‐world settings. This creates a need for a more computationally efficient and precise detection method that can robustly identify objects from vehicle images. Thus, this article presented a You Only Live Once v9 Squeeze M‐SegNet (YOLO v9‐S Net) for the detection of objects from vehicle images. To accurately detect objects, the input vehicle images are initially denoised using an adaptive weighted median filter. The enhancement of the denoised vehicle image is performed using Contrast Limited Adaptive Histogram Equalization (CLAHE) to increase the image quality. Following this, the segmentation of objects is executed using fast fuzzy clustering, and the objects are accurately detected from the segmented object using the YOLO v9‐S Net model. The results obtained from the experiment demonstrate that the YOLO v9‐S Net approach attained high detection performance with F1‐score, recall, and precision of 92.81%, 92.58%, and 93.04%.
Ta-SLOA: Taylor snow leopard optimization with XCovNet-based object classification using vehicle image S Thirumavalavan, V Kaliyaperumal, A Ramaiyan, D Pattusamy Traffic Injury Prevention, 1-9 , 2026 2026
Hie-Graph-YOLOv9: a hierarchical YOLOv9 model with graph-based SE attention mechanism for vehicle detection in complex background T Selvamuthukumar, K Vijayalakshmi, P Dhanalakshmi, R Abinaya International Journal of Computer Applications in Technology 78 (3), 167-185 , 2026 2026
YOLO v9‐S Net: YOLO V9 Squeeze SegNet for Object Detection Using Vehicle Image S Thirumavalavan, V Kaliyaperumal, A Ramaiyan, D Pattusamy Journal of Field Robotics , 2025 2025
A survey on the modern research on deep learning-based object detection T Selvamuthukumar, P Dhanalakshmi, K Vijayalakshmi, R Abinaya 2024 IEEE International Conference on Computer Vision and Machine … , 2024 2024 Citations: 1
Navigating Abnormal Environmental Conditions: Traffic Signal and Obstacle Detection for Autonomous Vehicles MB Basam, TS Kumar, BS Babu, D Trinadh, K Varshita, MP Hitesh Journal of Electrical Systems 20 (5s), 2652-2659 , 2024 2024
Generic and Domain Centred Summarization of Documents with Heightened Thought Plan by using Deep Learning Techniques P Narayana, T Bhargavi, L Bhagyalakshmi, SK Suman, K Suresh, ... 2023 IEEE International Conference on ICT in Business Industry & Government … , 2023 2023 Citations: 3
For the Processing of Laser-Cut Materials, Seam Tracking Using Texture-Based Image Analysis K Raghuram, KS Raghuram, P Nageswari, K Joshi, T Selvamuthukumar, ... 2023 3rd International Conference on Advance Computing and Innovative … , 2023 2023 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Generic and Domain Centred Summarization of Documents with Heightened Thought Plan by using Deep Learning Techniques P Narayana, T Bhargavi, L Bhagyalakshmi, SK Suman, K Suresh, ... 2023 IEEE International Conference on ICT in Business Industry & Government … , 2023 2023 Citations: 3
For the Processing of Laser-Cut Materials, Seam Tracking Using Texture-Based Image Analysis K Raghuram, KS Raghuram, P Nageswari, K Joshi, T Selvamuthukumar, ... 2023 3rd International Conference on Advance Computing and Innovative … , 2023 2023 Citations: 2
A survey on the modern research on deep learning-based object detection T Selvamuthukumar, P Dhanalakshmi, K Vijayalakshmi, R Abinaya 2024 IEEE International Conference on Computer Vision and Machine … , 2024 2024 Citations: 1
Ta-SLOA: Taylor snow leopard optimization with XCovNet-based object classification using vehicle image S Thirumavalavan, V Kaliyaperumal, A Ramaiyan, D Pattusamy Traffic Injury Prevention, 1-9 , 2026 2026
Hie-Graph-YOLOv9: a hierarchical YOLOv9 model with graph-based SE attention mechanism for vehicle detection in complex background T Selvamuthukumar, K Vijayalakshmi, P Dhanalakshmi, R Abinaya International Journal of Computer Applications in Technology 78 (3), 167-185 , 2026 2026
YOLO v9‐S Net: YOLO V9 Squeeze SegNet for Object Detection Using Vehicle Image S Thirumavalavan, V Kaliyaperumal, A Ramaiyan, D Pattusamy Journal of Field Robotics , 2025 2025
Navigating Abnormal Environmental Conditions: Traffic Signal and Obstacle Detection for Autonomous Vehicles MB Basam, TS Kumar, BS Babu, D Trinadh, K Varshita, MP Hitesh Journal of Electrical Systems 20 (5s), 2652-2659 , 2024 2024
