Although great progress has been made in generic object detection by advanced deep
learning techniques, detecting small objects from images is still a difficult and challenging …

The advent of machine learning (ML) methods for the industry has opened new possibilities
in the automotive domain, especially for Advanced Driver Assistance Systems (ADAS) …

Traffic signs are critical for maintaining the safety and efficiency of our roads. Therefore, we
need to carefully assess the capabilities and limitations of automated traffic sign detection …

The concern about road security and the protection of lives is increasing gradually due to
intensified mobility, unfocused driving, and control over the vehicle. This interest led to …

In maritime surveillance, detection of small ships and vessels located far away in the scene
is of vital importance for behaviour analysis. Comparing to closely located objects, far …

Traffic signals are intended to maintain an orderly flow of traffic, let pedestrians and cars to
cross an intersection safely, and limit the likelihood of collisions between vehicles …

Traffic signs are critical for maintaining the safety and efficiency of our roads. Therefore, we
need to carefully assess the capabilities and limitations of automated traffic sign detection …