Underground mining operations present critical safety hazards due to limited visibility and
blind areas, which can lead to collisions between mobile machines and vehicles or persons …

Object detection is one of the most crucial tasks in computer vision and remote sensing to
identify specific categories of various objects in images. The unmanned aerial vehicle (UAV) …

Humans have long been recorded in a variety of forms since antiquity. For example,
sculptures and paintings were the primary media for depicting human beings before the …

Pedestrian detection has never been an easy task for computer vision and the automotive
industry. Systems like the advanced driver-assistance system (ADAS) highly rely on far …

Conventional cameras employed in autonomous vehicle (AV) systems support many
perception tasks but are challenged by low-light or high dynamic range scenes, adverse …

Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …

In recent years, foundation models have swept the computer vision field, facilitating the
advancement of various tasks within different modalities. However, effectively designing an …

The early recognition and understanding of the actions performed by pedestrians in traffic
scenes leads to an anticipation of pedestrian intentions in advance and helps in the process …

Aerial object detection acts a pivotal role in searching and tracking applications. However,
the large model, limited memory, and computing power of embedded devices restrict aerial …

For vehicles to navigate autonomously, they need to perceive and understand their
immediate surroundings. Currently, cameras are the preferred sensors, due to their high …