A Lightweight Augmented Reality System to See-Through Cars
| Autor: | Yan-Ann Chen, Bingjie Yuan, Shaozhen Ye |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
business.industry Computer science 05 social sciences Real-time computing Advanced driver assistance systems Image stitching Dangerous driving Overtaking 0502 economics and business Global Positioning System 0501 psychology and cognitive sciences Augmented reality business Mobile device Pose 050107 human factors |
| Zdroj: | IIAI-AAI |
| Popis: | Internet of Vehicles (IoV) enables advanced driver assistance systems (ADAS) to acquire the sensing information of nearby vehicles for driving safety. One of the most dangerous driving maneuvers is overtaking, where the leading vehicle may occlude the view of the following vehicle's driver. To assist the driver, providing the capability of see-through car is a promising solution. ADAS with IoV can obtain the videos from the leading vehicle to compensate the occluded view. Therefore, we formulate an image synthesis problem and propose a lightweight solution. Compared to other works, we expect that our system can easily apply on a mobile device with a camera or a smartphone. For implementation, we utilize Unity with Vuforia to make pose estimation, rather than GPS or 3D reconstruction. We also validate the performance of our system by the prototyping result. It shows that the stitching performance is well and we can achieve this AR system with low costs at price and computation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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