In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …

Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

Human detection has witnessed impressive progress in recent years. However, the
occlusion issue of detecting human in highly crowded environments is far from solved. To …

Pedestrian detection in crowded scenes is a challenging problem since the pedestrians
often gather together and occlude each other. In this paper, we propose a new occlusion …

Detecting individual pedestrians in a crowd remains a challenging problem since the
pedestrians often gather together and occlude each other in real-world scenarios. In this …

Pedestrian detection in a crowd is a very challenging issue. This paper addresses this
problem by a novel Non-Maximum Suppression (NMS) algorithm to better refine the …

Pedestrian detection has progressed significantly in the last years. However, occluded
people are notoriously hard to detect, as their appearance varies substantially depending on …

Pedestrian detection relying on deep convolution neural networks has made significant
progress. Though promising results have been achieved on standard pedestrians, the …

In this paper, we propose a graininess-aware deep feature learning method for pedestrian
detection. Unlike most existing pedestrian detection methods which only consider low …

Although significant progress has been made in pedestrian detection recently, pedestrian
detection in crowded scenes is still challenging. The heavy occlusion between pedestrians …