Landmarks provide the most predominant navigation cue for pedestrian navigation. Very few navigation data models in the geographical information science and transportation communities support modeling of landmarks and use of landmark-based route instructions for pedestrian navigation services. This article proposes a landmark-based pedestrian navigation data model to fill this gap. This data mo...

The simulation of pedestrian crowd that reflects reality is a major challenge for researches. Several crowd simulation models have been proposed such as cellular automata model, agent-based model, fluid dynamic model, etc. It is important to note that agent-based model is able, over others approaches, to provide a natural description of the system and then to capture complex human behaviors. In...

The study of human-robot interaction (HRI) has received increasing research attention for robot navigation in pedestrian crowds. In this paper, we present empirical study of pedestrian-robot interaction in an uni-directional exit corridor. We deploy a mobile robot moving in a direction perpendicular to that of the pedestrian flow, and install a pedestrian motion tracking system to record the co...

Majority of the million plus cities in India are facing serious problems of traffic congestion and pollution due to the unprecedented and rapid pace of urbanization in last decade. City planners are providing solution to these twin problems by developing Mass Rapid Transit System including Metro and BRT in many Indian Metropolitan cities. The availability of transit network and pedestrian acces...

pedestrian areas are a type of urban public space, nowadays because of the serious consequencesof car-dependency and ignoring pedestrian needs, a consensus on the importance of walking and the necessity forplanning for pedestrians movement has been formed among urban designers, planners and people. the concernsabout human health and movement in city create a new trend in contemporary urbanism, ...

BACKGROUND Pedestrian injury frequently results in devastating and costly injuries and accounts for 11% of all road user fatalities. In the United States in 2006 there were 4,784 fatalities and 61,000 injuries from pedestrian injury, and in 2007 there were 4,654 fatalities and 70,000 injuries. In Canada, injury is the leading cause of death for those under 45 years of age and the fourth most co...

This work presents a vision-based system for detecting and localizing pedestrians in road environments by means of a statistical technique. Initially, attentive vision techniques relying on the search for specific characteristics of pedestrians such as vertical symmetry and strong presence of edges, allow to select interesting regions likely to contain pedestrians. These regions are then used t...

This paper presents the method for detecting pedestrian recently implemented on the ARGO vehicle. The perception of the environment is performed through the sole processing of images acquired from a vision system installed on board of the vehicle: the analysis of a monocular image delivers a first coarse detection, while a distance refinement is performed thanks to a stereo vision technique.

In this project, I develop an approach to post process local pedestrian detection by incorporating cues from the background. This approach uses a combination of several location specific color classifiers to quickly reduce the number of the local detector responses by discarding improbable results. An experimental method for color comparison is explored in this project to supplement existing te...