Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn't have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogram of Gradient) IP (intellectual property), can be used as the real time vehicle equipment. Three...

Pedestrian movements are the consequence of several complex and stochastic facts. The modelling of pedestrian movements and the ability to predict the travel time are useful for evaluating the performance of a pedestrian facility. However, only a few studies can be found that incorporate the design of the facility, local pedestrian body dimensions, the delay experienced by the pedestrians, and ...

This paper presents the calibration of a pedestrian simulation model for simulating pedestrian movements at a selected signalized crosswalk in Hong Kong. This model is able to estimate the variations of walking speed particularly under conditions with bi-directional pedestrian flows. A simulation software package, Service Model, was adopted to develop the pedestrian simulation model for the sel...

There are no available datasets to evaluate integrated Pedestrian Detectors and Re-Identification systems, and the standard evaluation metric for Re-Identification (Cumulative Matching Characteristic curves) does not properly assess the errors that arise from integrating Pedestrian Detectors with Re-Identification (False Positives and Missed Detections). Real world Re-Identification systems req...

In this paper, we present a system framework for event detection in pedestrian and tracking applications. The system is built upon a robust computer vision approach to detecting and tracking pedestrians in unconstrained crowded scenes. Upon this framework we propose a pedestrian indexing scheme and suite of tools for detecting events or retrieving data from a given scenario.

Pedestrian detection is one of the important topics in computer vision with key applications in various fields of human life such as intelligent vehicles, surveillance and advanced robotics. In recent years, research related to pedestrian detection commonplace. This paper aims to review the papers related to pedestrian detection in order to provide an overview of the recent research. Main contr...

pedestrians and to analyze pedestrian safety at crossings. The main objective of this paper is to present the development of a method to evaluate the potential risk of pedestrian crashes at midblock crossings, consistent with the realities of developing countries. The method comprises the identification of high-frequency crash locations that involve pedestrians, the selection of factors associa...

This paper proposes a spatial activity-based modeling approach and applies it to pedestrian crowd behavior simulations. Compared to conventional pedestrian crowd models where pedestrians make movement decisions in a time-based manner, the spatial activity-based pedestrian crowd model allows a pedestrian to make decisions only when needed, that is, when there is significant change in the pedestr...

We propose an estimation method of pedestrian detectability considering the driver’s visual adaptation to illumination change. Since it is important for driver assistance systems to determine if a driver is perceiving a pedestrian or not, estimation of pedestrian detectability by the driver is required. However, previous studies do not consider drastic illumination changes that degrades the det...

Pedestrian head impact with windscreen is one of the major causes for pedestrian severe injury or fatality. A FE model is established with shell and solid elements representing different layers of a laminated windscreen. Major strain criterion is used to deal with the failure of windscreen. Simulation results are validated by Euro NCAP pedestrian head-to-windscreen impact tests. The results sho...