Omar Hesham's research while affiliated with Carleton University and other places

Publications (10)

Article
Full-text available
Crowd simulation demands careful consideration in regard to the classic trade-off between accuracy and efficiency. Particle-based methods have seen success in various applications in architecture, military, urban planning, and entertainment. This method focuses on local dynamics of individuals in large crowds, with a focus on serious games and ente...
Article
Full-text available
Computer simulation of dense crowds is finding increased use in event planning, congestion prediction, and threat assessment. State-of-the-art particle-based crowd methods assume and aim for collision-free trajectories. That is an idealistic yet not overly realistic expectation, as near-collisions increase in dense and rushed settings compared with...
Conference Paper
Full-text available
Dense crowd simulations are being increasingly used for predicting congestion, planning protests and rallies, and threat assessment. It has been observed that human behavior is uncontrollable and often unpredictable; however, human motion is quite flexible over obstacles in their path and turn as per the need. These motions or the paths they take a...
Conference Paper
Full-text available
Although Cell-DEVS engines have been optimized for efficient modelling and simulation over a cell space, visualization and analysis of the results they generate remains a complex task. They are limited by the high volume of data that must be processed to identify patterns and tendencies in the model's behavior, particularly over time. In this paper...
Conference Paper
Crowd simulation can be a useful tool for predicting, analyzing, and planning mass-gathering events. The analysis of simulated crowds aims to extract observations to assess occupant interactions and potential crowd flow issues. This paper presents a continuous-space definition of Centroidal Particle Dynamics (CPD) crowd models, then proceeds to pre...
Conference Paper
Full-text available
Real-time simulation of dense crowds is finding increased use in event planning, congestion prediction, and threat assessment. Existing particle-based methods assume and aim for collision-free trajectories. That is an ideal-yet not overly realistic-expectation, as near-collisions increase in dense and rushed settings compared to typically sparse pe...
Conference Paper
Real-time crowd simulation is a challenging task that demands a careful consideration of the classic trade-off between accuracy and efficiency. Existing particle-based methods have seen success in simulating crowd scenarios for various applications in the architecture, military, urban planning, robotics, and entertainment (film and gaming) industri...
Conference Paper
Full-text available
Here we describe the use of high-dynamic range lighting techniques to improve the rendering quality of real-time medical simulation systems. Specifically we show our method of extracting the lighting information from an actual endoscopic light probe used for surgery and how we apply this lighting information into a real-time rendering system based...

Citations

... This feature leverages the JADE scaling ability by distributing the workload across multiple networked hosts, e.g., for computationally intensive simulations of larger, multistory buildings. We compared our results with [62] (p. 23, Table I, Columns 1 and 2), using the same type of GPU, Nvidia GeForce GTX 1060. ...
... Mobility model: these papers present an innovation in terms of mobility modeling. Two papers in this category (Prédhumeau et al. 2021, Hesham andWainer 2021) deal with pedestrian mobility: their objective is to propose an improved model to simulate pedestrian behavior. A third paper, i.e. ...
... We introduced extensions to the CPD model for crowd modeling and simulation that address the addition of vehicles, motorcycles, and obstacles entities into a single system, making it heterogeneous. 49 We added the Minkowski sum approach, flexibility for adding foreign objects and simulating traffic scenarios. The developed engine displays potential to simulate multiple scenarios of vehicle and crowd interactions. ...
... However, most studies on agent-based pedestrian simulations in the urban space are focusing on large crowds' mitigation [20] and emergency scenarios of evacuation [21] rather than everyday scenarios. Such platforms are dealing pedestrian movement in high-densities and investigate the physics of pedestrian movements rather than urban planning. ...
... We proposed the Centroidal Particles approach [15,16], a new Lagrangian for realistic depiction of personal space compression in congested settings, which is based on the two ideas above: the social (safe zone) and biological (fight or flight) personal spaces. The methods try to reconstruct this basic human behavior for individuals and combines thousands of individuals generating scenarios in which behavior emerges. ...
... This is accomplished in part by the ability to place the simulation into context by collocating different types of data for the purpose of facilitating exploration and generating explanations into the inner workings of the simulation [47,67]. Common forms of visual aids for examining occurrences within simulations include scatter plots, line plots, histograms, box plots [56], bar charts, icon-based displays, dense pixel displays, stacked displays [49], data maps, time-series plots [58,69], polar diagrams [70], and cluster heat maps [71,72]. ...
... We proposed the Centroidal Particles approach [15,16], a new Lagrangian for realistic depiction of personal space compression in congested settings, which is based on the two ideas above: the social (safe zone) and biological (fight or flight) personal spaces. The methods try to reconstruct this basic human behavior for individuals and combines thousands of individuals generating scenarios in which behavior emerges. ...
... Recent research programs on machine vision have clearly demonstrated the benefits of real-time HDR vision [20,38]. Finally, medical applications require high precision images and HDR lighting techniques to improve the rendering quality of imaging systems [25,17]. ...