A paradigm to improve the quality of pedestrian movement by considering their interactions in the microscopic level is introduced. By this approach, design of pedestrian facilities is not merely space allocation but it can also utilize other form of flow controls in space, time and direction. Although microscopic pedestrian analysis exists, the microscopic pedestrian data collection has not bee...

Pedestrian detection is a vision task with many practical applications in video surveillance, road safety, autonomous driving and military. However, it is much more difficult compared to the detection of other visual objects, because of the tremendous variations in the inner region as well as the outer shape of the pedestrian pattern. In this paper, we propose a pedestrian detection approach th...

This article presents a novel method concerning pedestrian detection, thanks to graph kernels. Nowadays, the pedestrian detection is a hard task, due to the variability of its shape : size and posture. To address this problem, we choose to transform a pedestrian into a graph. The aim of this method consists of extracting a graph from each object (pedestrian or non-pedestrian), contained in a da...

A novel pedestrian detection method based on the Four Direction Features (FDF), called FloatCascade pedestrian detection, is proposed for the pedestrian detection problem, which can be applied to the pedestrian detection problem in a single image. The FDF can represent pedestrian well, and the computation cost is lower than the HOG’s. FloatCascade applies the plus-l-minus-r method to select the...

This paper investigates the effect of muscle contraction on lower extremity injuries in car-pedestrian lateral impacts. Three variables, viz. height of impact, pedestrian offset with respect to car centre and impact speed, have been considered here. Full scale carpedestrian FE simulations have been performed using the full body pedestrian model with active lower extremities (PMALE) and front st...

Multispectral pedestrian detection is essential for around-the-clock applications, e.g., surveillance and autonomous driving. We deeply analyze Faster R-CNN for multispectral pedestrian detection task and then model it into a convolutional network (ConvNet) fusion problem. Further, we discover that ConvNet-based pedestrian detectors trained by color or thermal images separately provide compleme...

Simulation of evacuation plans is a relatively complex problem. It is necessary to simulate a number of separate processes which interact in the result. Namely, they are pedestrian-pedestrian interactions, pedestrian-static object (e.g. wall) interactions and pedestrian-environment (fire, smoke, etc.) interactions. In this case, the evacuation simulation is controled on the microscopic level. M...

While Table 2 lists the three principal Australian pedestrian slip resistance standards, architects and should only need to be familiar with Standards Australia Handbook 197, An introductory guide to the slip resistance of pedestrian surface materials. This deals with the selection of products based on the wet slip resistance classifications that are obtained according to the test methods that ...

In vehicle–pedestrian crashes, head injuries account for an overwhelming percentage of all severe and fatal injuries. These injuries are caused by the linear acceleration and rotation of the head. To mitigate head injuries, tools such as Human Body Models (HBMs) are used in the development and evaluation of pedestrian safety systems. The tools need to be compared with experimental data to evalu...

A mesoscopic approach to modeling pedestrian simulation with multiple exits is proposed in this paper. A floor field based on Qlearning Algorithm is used. Attractiveness of exits to pedestrian typically is based on shortest path. However, several factors may influence pedestrian choice of exits. Scenarios with multiple exits are presented and effect of Q-learning rewards system on navigation is...