Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm
Crowd simulations are widely used in virtual environment applications such as in entertainment, games, military training, safety issues, evacuation, and emergent situation. It visualizes the crowd behaviors, movement, and interactions in simulating a virtual environment. A dynamic crowd's densi...
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| Format: | Thesis |
| Language: | en en |
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2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/40507/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/40507/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/40507/ |
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| _version_ | 1831796288395411456 |
|---|---|
| author | Iznora Aini Zolkifly |
| author_facet | Iznora Aini Zolkifly |
| author_sort | Iznora Aini Zolkifly |
| building | UMS Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Sabah |
| content_source | UMS Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Crowd simulations are widely used in virtual environment applications such as in entertainment, games, military training, safety issues, evacuation, and emergent situation. It visualizes the crowd behaviors, movement, and interactions in simulating a virtual environment. A dynamic crowd's density can be classified as high, medium or low depending on the situation. The abrupt obstacles occurrences may emerge at any time and anyway in a dynamic crowd simulation. At the same time, the dynamic changes of the obstacles would initiate a complicated path to obtain a prediction of the target’s motion. Due to a lack of contacts amongst agents, they will interact only when prompted, such as in identified close proximity circumstances. In reality, each agent has its own goal and personal space. However, in an emergent or panic situation, the agent’s goal can be altered to find the optimal free collision path to exit the environment. Therefore, agents could perceive the environment and try to find the optimal solutions with the aid of visual cues. The main objective of this study is to produce an enhanced technique that integrates the visual cue outcome in the collision avoidance pipeline during emergent situations. The proposed technique emphasised the need of avoiding sudden obstacles by including the bounding circle mechanism and a vision-based method into the free-path environment in order to achieve optimal and better exploration in crowded conditions. From the experiments conducted, the suggested method can reduce all evacuation time effectively and improve the overall proposed collision avoidance and pathfinding techniques in a dynamic crowd simulation environment. The Predetchenky and Milinskii method has been carried out to validate simulation results obtained by the Netlogo testing agent's evacuation system. The findings of this study can be used to mimic the evacuation of a single-layer floor of a structure, such as computer labs, science labs, hallways, or schools. The simulation can provide vital information for evaluating a design, assisting in the planning process, and training to cope with emergencies. |
| format | Thesis |
| id | my.ums.eprints-40507 |
| institution | Universiti Malaysia Sabah |
| language | en en |
| publishDate | 2022 |
| record_format | eprints |
| spelling | my.ums.eprints-405072024-09-13T01:33:32Z https://eprints.ums.edu.my/id/eprint/40507/ Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm Iznora Aini Zolkifly QA1-43 General Crowd simulations are widely used in virtual environment applications such as in entertainment, games, military training, safety issues, evacuation, and emergent situation. It visualizes the crowd behaviors, movement, and interactions in simulating a virtual environment. A dynamic crowd's density can be classified as high, medium or low depending on the situation. The abrupt obstacles occurrences may emerge at any time and anyway in a dynamic crowd simulation. At the same time, the dynamic changes of the obstacles would initiate a complicated path to obtain a prediction of the target’s motion. Due to a lack of contacts amongst agents, they will interact only when prompted, such as in identified close proximity circumstances. In reality, each agent has its own goal and personal space. However, in an emergent or panic situation, the agent’s goal can be altered to find the optimal free collision path to exit the environment. Therefore, agents could perceive the environment and try to find the optimal solutions with the aid of visual cues. The main objective of this study is to produce an enhanced technique that integrates the visual cue outcome in the collision avoidance pipeline during emergent situations. The proposed technique emphasised the need of avoiding sudden obstacles by including the bounding circle mechanism and a vision-based method into the free-path environment in order to achieve optimal and better exploration in crowded conditions. From the experiments conducted, the suggested method can reduce all evacuation time effectively and improve the overall proposed collision avoidance and pathfinding techniques in a dynamic crowd simulation environment. The Predetchenky and Milinskii method has been carried out to validate simulation results obtained by the Netlogo testing agent's evacuation system. The findings of this study can be used to mimic the evacuation of a single-layer floor of a structure, such as computer labs, science labs, hallways, or schools. The simulation can provide vital information for evaluating a design, assisting in the planning process, and training to cope with emergencies. 2022 Thesis NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/40507/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/40507/2/FULLTEXT.pdf Iznora Aini Zolkifly (2022) Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm. Doctoral thesis, Universiti Malaysia Sabah. |
| spellingShingle | QA1-43 General Iznora Aini Zolkifly Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| title | Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| title_full | Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| title_fullStr | Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| title_full_unstemmed | Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| title_short | Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| title_sort | enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm |
| topic | QA1-43 General |
| url | https://eprints.ums.edu.my/id/eprint/40507/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/40507/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/40507/ |
| url_provider | http://eprints.ums.edu.my/ |