Collision avoidance is one of the most difficult and challenging automatic driving operations
in the domain of intelligent vehicles. In emergency situations, human drivers are more likely …

This paper presents a novel pedestrian detection system for intelligent vehicles. We propose
the use of dense stereo for both the generation of regions of interest and pedestrian …

This paper starts with depicting the test series carried out by the Transportation Active Safety
Institute, with two cars equipped with pedestrian automatic emergency braking (AEB) …

Vision-based pedestrian detection for intelligent vehicles applications is a crucial and active
research area due to the essential benefits in terms of reducing the number of accidents …

This paper presents an analytical study of the depth estimation error of a stereo vision-based
pedestrian detection sensor for automotive applications such as pedestrian collision …

This paper describes an improved stereovision system for the anticipated detection of car-to-
pedestrian accidents. An improvement of the previous versions of the pedestrian-detection …

Intelligent systems designed to reduce highway fatalities have been widely applied in the
automotive sector in the last decade. Of all users of transport systems, pedestrians are the …

This paper investigates the benefit of dense stereo for the ROI generation stage of a
pedestrian detection system. Dense disparity maps allow an accurate estimation of the …

Automatic identification and detection of fruit on trees by machine vision is the basis of
develo** automatic harvesting robots in agriculture. The occlusion of branches, leaves …

The article considers the issues of increasing the safety of pedestrians on regulated and
unregulated pedestrian crossings. It is revealed that underestimation of human factor …