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...

The commonly used object detection algorithm based on convolutional neural network is difficult to meet the real-time requirement embedded platform due its large size of model, amount calculation, and long inference time. It necessary use model compression reduce calculation increase speed inference. This paper conducts vehicle pedestrian by pruning removing redundant parameters. trained YOLOv3...

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, ...