A panoramic synthetic vision model for improving collision avoidance in crowd simulation

Ricardo Bustamante de Queiroz; Teófilo Dutra; Creto Vidal; Joaquim Cavalcante-Neto

doi:10.5753/jis.2015.659

A panoramic synthetic vision model for improving collision avoidance in crowd simulation

Journal of Interactive Systems ◽

10.5753/jis.2015.659 ◽

2015 ◽

Vol 6 (2) ◽

pp. 1

Author(s):

Ricardo Bustamante de Queiroz ◽

Teófilo Dutra ◽

Creto Vidal ◽

Joaquim Cavalcante-Neto

Keyword(s):

Virtual Reality ◽

Visual Perception ◽

Collision Avoidance ◽

Vision System ◽

Crowd Simulation ◽

Field Of View ◽

Panoramic View ◽

Natural Manner ◽

Synthetic Vision ◽

The Common

Crowd Simulation is very important in many virtual reality applications, because it improves the sense of immersion of the users by making the population of agents in the environment to move as real crowds do. Recently, models for simulating crowds, in which each agent is equipped with a synthetic vision system, have shown interesting results regarding the natural manner in which the agents navigate inside the environment thanks to their visual perception. In this article, we propose an upgrade to the agent’s visual system with a panoramic view in order to allow an agent to expand its vision beyond the limit of 180o imposed by the common projection provided by rendering APIs. Also, we analyze different parameters, which are used to define the field of view, to investigate the influence they have on the agent’s behavior. The impacts that those changes may cause on the efficiency of the algorithms are also analysed. A visible change on the agent’s behavior is achieved by using the technique, with a slight loss of performance.

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Analysis of the Influence of the Field of View on a Crowd Simulation Model Based on Synthetic Vision

2015 XVII Symposium on Virtual and Augmented Reality ◽

10.1109/svr.2015.19 ◽

2015 ◽

Author(s):

Ricardo Bustamante de Queiroz ◽

Teofilo B. Dutra ◽

Creto A. Vidal ◽

Joaquim B. Cavalcante-Neto

Keyword(s):

Simulation Model ◽

Crowd Simulation ◽

Field Of View ◽

Model Based ◽

Synthetic Vision

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Pilot performance as a function of display resolution and field of view in a simulated terrain following flight task using a synthetic vision system

22nd Digital Avionics Systems Conference Proceedings (Cat No 03CH37449) DASC-03 ◽

10.1109/dasc.2003.1245926 ◽

2003 ◽

Cited By ~ 1

Author(s):

Keller ◽

Schnell ◽

Lemos ◽

Glaab ◽

Parrish

Keyword(s):

Vision System ◽

Field Of View ◽

Pilot Performance ◽

Synthetic Vision ◽

Terrain Following ◽

Display Resolution

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In-Flight Tests of Intruder Detection Vision System

Sensors ◽

10.3390/s21217360 ◽

2021 ◽

Vol 21 (21) ◽

pp. 7360

Author(s):

Paweł Rzucidło ◽

Grzegorz Jaromi ◽

Tomasz Kapuściński ◽

Damian Kordos ◽

Tomasz Rogalski ◽

...

Keyword(s):

Unmanned Aerial Vehicles ◽

Collision Avoidance ◽

Vision System ◽

Flight Tests ◽

Aerial Vehicles ◽

Intruder Detection ◽

The Common ◽

Collision Avoidance System ◽

Formal Requirements ◽

Near Future

In the near future, the integration of manned and unmanned aerial vehicles into the common airspace will proceed. The changes taking place mean that the safety of light aircraft, ultralight aircraft and unmanned air vehicles (UAV) will become an increasing problem. The IDAAS project (Intruder Detection And collision Avoidance System) meets the new challenges as it aims to produce technically advanced detection and collision avoidance systems for light and unmanned aerial vehicles. The work discusses selected elements of research and practical tests of the intruder detection vision system, which is part the of IDAAS project. At the outset, the current formal requirements related to the necessity of installing anticollision systems on aircraft are presented. The concept of the IDAAS system and the structure of algorithms related to image processing are also discussed. The main part of the work presents the methodology developed for the needs of dedicated flight tests, its implementation and the results obtained. The initial tests of the IDAAS system carried out on an ultralight aircraft generally indicate the possibility of the effective detection of intruders in the airspace with the use of vision methods, although they also indicated the existence of conditions in which this detection may prove difficult or even impossible.

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A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology

PsycEXTRA Dataset ◽

10.1037/e577072012-007 ◽

2004 ◽

Author(s):

Michael D. Byrne ◽

Alex Kirlik ◽

Michael D. Fleetwood ◽

David G. Huss ◽

Alex Kosorukoff ◽

...

Keyword(s):

Closed Loop ◽

Vision System ◽

Modeling Approach ◽

Synthetic Vision

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Exploring the Effect of Virtual Robot Acceleration on Perceived Competitiveness/ Cooperativeness, Animacy, and Intelligence

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641382 ◽

2020 ◽

Vol 64 (1) ◽

pp. 1595-1599

Author(s):

Jordan Sasser ◽

Fernando Montalvo ◽

Rhyse Bendell ◽

P. A. Hancock ◽

Daniel S. McConnell

Keyword(s):

Virtual Reality ◽

Visual Perception ◽

Social Perception ◽

Virtual Human ◽

Ecological Approach ◽

Direct Process ◽

Perceptual Judgments ◽

Direct Social Perception

Prior research has indicated that perception of acceleration may be a direct process. This direct process may be conceptually linked to the ecological approach to visual perception and a further extension of direct social perception. The present study examines the effects of perception of acceleration in virtual reality on participants’ perceived attributes (perceived intelligence and animacy) of a virtual human-like robot agent and perceived agent competitive/cooperativeness. Perceptual judgments were collected after experiencing one of the five different conditions dependent on the participant’s acceleration: mirrored acceleration, faster acceleration, slowed acceleration, varied acceleration resulting in a win, and varied acceleration resulting in a loss. Participants experienced each condition twice in a counterbalanced fashion. The focus of the experiment was to determine whether different accelerations influenced perceptual judgments of the observers. Results suggest that faster acceleration was perceived as more competitive and slower acceleration was reported as low in animacy and perceived intelligence.

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An Efficient Synthetic Vision System for 3D Multi-character Systems

Intelligent Virtual Agents - Lecture Notes in Computer Science ◽

10.1007/978-3-540-39396-2_60 ◽

2003 ◽

pp. 356-357 ◽

Cited By ~ 3

Author(s):

Miguel Lozano ◽

Rafael Lucia ◽

Fernando Barber ◽

Fran Grimaldo ◽

Antonio Lucas ◽

...

Keyword(s):

Vision System ◽

Synthetic Vision

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Evaluating Visual Perception by Tracking Eye Movement in Architectural Space During Virtual Reality Experiences

Advances in Intelligent Systems and Computing - Human Interaction, Emerging Technologies and Future Applications II ◽

10.1007/978-3-030-44267-5_45 ◽

2020 ◽

pp. 302-308

Author(s):

Nayeon Kim ◽

Hyunsoo Lee

Keyword(s):

Virtual Reality ◽

Visual Perception ◽

Eye Movement ◽

Architectural Space

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Low-cost and home-made immersive systems

International Journal of Virtual Reality ◽

10.20870/ijvr.2012.11.3.2846 ◽

2012 ◽

Vol 11 (3) ◽

pp. 9-17 ◽

Cited By ~ 2

Author(s):

Sébastien Kuntz ◽

Ján Cíger

Keyword(s):

Virtual Reality ◽

Vision System ◽

Low Cost ◽

Immersive Virtual Reality ◽

Simple Application ◽

3D Vision ◽

Head Mounted Display ◽

Good Level ◽

Application Sharing ◽

Immersive Systems

A lot of professionals or hobbyists at home would like to create their own immersive virtual reality systems for cheap and taking little space. We offer two examples of such "home-made" systems using the cheapest hardware possible while maintaining a good level of immersion: the first system is based on a projector (VRKit-Wall) and cost around 1000$, while the second system is based on a head-mounted display (VRKit-HMD) and costs between 600� and 1000�. We also propose a standardization of those systems in order to enable simple application sharing. Finally, we describe a method to calibrate the stereoscopy of a NVIDIA 3D Vision system.

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