As a response to the zero emission targets set for 2050, the number of electric and alternative fuel vehicles is increasing drastically. While those vehicles are not more likely to burn compared to vehicles with combustion engines, there are numerous accidents where the batteries ignite, the firefighters couldn't handle them properly due to lack of experience with new cars and on-site real-time information. It becomes even harder as there are not widely accepted procedures. Extrication has also become very hard due to the structural changes in the new vehicles. The structural variety of vehicles makes it harder for firefighters to properly respond to car accidents. The FUSE system provides AI-assisted guidance to the firefighters while responding to car crashes and documents it to improve the AI and the firefighters for future cases. FUSE is an AI-assisted handheld device and a system designed for firefighters to be used for car accidents. FUSE has a set of sensors and cameras together with flashlights and a laser cross generator. It’s not only packed with sensors but a powerful AI which has the access to a database of 3D models and rescue information of the vehicles together with the real-world knowledge. It compares 3D data of vehicles with real-world scans and generates recommendations in augmented reality form.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-198664 |
| Date | January 2022 |
| Creators | Altun, Sinan |
| Publisher | Umeå universitet, Designhögskolan vid Umeå universitet |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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