A computer vision framework combines YOLO object detection, geometric localization, and modeled visible light communication ...

Object detection in computer vision encompasses the automatic identification and localisation of objects within images or video streams. Early approaches relied on handcrafted features and shallow ...

Object detection in challenging environments has emerged as a pivotal domain within computer vision. Unfavourable conditions such as low illumination, atmospheric obscurants, variable weather and ...

IDDEA illustrates the shift from generic category recognition to variant-level identification, enabling defense AI systems to ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

Umashanker Bandari's co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, real-time multi-object detection in traffic surveillance, addressing ...