This work confirms the feasibility of integrating YOLOv10 into the CPU-only ROS2 system and demonstrates through qualitative analysis that the low precision is caused by clusters of False Positives, stemming from the instability of the monocular 3D projection method and inaccuracy in estimation of object detection.
Efficient and accurate object detection is a cornerstone of computer vision applications,
particularly in autonomous driving systems where real-time performance is paramount. This
study revisits the fundamental challenge of balancing detection speed and accuracy, a critical
trade-off that has defined the evolution o...
Chima Igiri Godknows· International Journal of Com...· 0 citations
Real-time object detection is a core capability for autonomous robots, unmanned aerial vehicles (UAVs), and self-driving systems operating in resource-constrained environments. This paper presents spatial-channel enhanced multiscale attention (SCEMA), a novel lightweight attention module designed to enhance robotic per...
Mohammed Maiza, Chahira Cherif, Samira Chouraqui et al.· IAES International Journal o...· 0 citations
A lightweight, real-time object detection system specifically designed to assist visually impaired individuals in identifying surrounding objects, thereby improving navigation and personal safety and potential for integrating audio feedback and adaptive thresholding in future versions to further enhance accessibility f...
I. Ibrahim, Aishatu Ibrahim Birma, A. Umar et al.· World Journal of Advanced En...· 0 citations
Object detection is a fundamental perception task in intelligent transportation systems and autonomous driving. These systems rely on computer vision techniques to enable intelligent perception in complex traffic environments. However, object detection models still struggle in real-world driving scenarios, particularly...
Tien Sang Ngo, Thanh Van Dinh, H. D. Lê· International Conference on...· 0 citations
The installation of a real-time visual tracking system with an active pan-tilt camera for indoor human motion detection is presented, which shows that the inclusion of YOLOv10 significantly improves detection precision and temporal consistency.
Ayman Javid Hussain, Lalitha Saroja Ch, Ruqiya Fatima· International Journal of AI...· 0 citations
Indoor medium-to-large indoor object detection is a fundamental capability for mobile robot perception and visual navigation, yet it remains challenging in complex indoor environments due to occlusion, overlap, cluttered backgrounds, and the need for efficient deployment on resource-constrained devices. To address thes...
