Browsing by Subject "Computer vision."
Now showing items 1-9 of 9
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Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
(Brac University, 2024-05)The advancement of autonomous vehicles requires a fast and effective object detection and segmentation system handling a wide range of road environments. The goal of this research is to improve autonomous navigation by ... -
Autonomous object detection dataset: a study on Bangladeshi roadways
(BRAC University, 2024-10)This research aims to enhance object detection in autonomous driving by testing the three new advanced YOLO models, namely, YOLOv5, YOLOv7, and YOLOv8, on a private dataset proposed specifically for Bangladesh. It is ... -
Depth-aware object detection and region filtering for autonomous vehicles: a monocular camera-based novel integration of MiDaS and YOLO for complex road scenarios with irregular traffic
(BRAC University, 2024-10)In this era of technological advancement, autonomous vehicles strive towards revolutionizing the transportation system. Object detection and distance measurement are critical for autonomous driving, particularly in dynamic ... -
An efficient handwritten Bangla character recognition system using computer vision and natural language processing
(Brac University, 2023-09)An efficient handwritten character recognition system for an alpha-syllabary language like Bangla has always been a challenging issue. Despite being in demand, the number of papers being conducted on this was very ... -
Pathway to perception: a smart navigation approach for visually impaired individuals leveraging YOLO, faster R-CNN, and LLaMA
(BRAC University, 2024-10)The purpose of our study is to create new technology that will provide a revolutionary navigation system with significant improvement of mobility and independence for visually impaired people. We utilize YOLOv11 and ... -
Point-cloud-based 3D object detection for autonomous navigation in unmanned ground vehicles
(Brac University, 2024-11)Autonomous navigation for UGVs faces significant challenges in detecting objects accurately in complex environments. Despite advancements in 2D object detection, the absence of robust 3D object detection models leave a ... -
Single and multi-view 2D image processing for enhanced 3D object reconstruction
(Brac University, 2024-05)This paper presents an efficient approach for 3D object reconstruction using Single and multi- view 2D image processing. In real-world scenarios, it also focuses on practical applications. Our approach is about the ... -
Synergistic application of advanced machine learning and computer vision techniques for the detection of exoplanet and star: leveraging contrastive learning in astronomical imagery
(BRAC University, 2024-11)The detection of exoplanets through direct imaging has become increasingly feasible with the advent of modern telescopes like the James Webb Space Telescope (JWST) and its MIRI coronagraph. These instruments have ... -
Tiny-ML based person identification in dynamic motion
(Brac University, 2024-05)TinyML, short for Tiny Machine Learning, focuses on small, low-power machine learning systems, with a significant emphasis on human identification. This capability is crucial in areas like access control, security, and ...
