Abstract
Driving is a social activity. Previously, the "social car" topic, which attempts to enhancing communication between drivers, received much attention by the Auto UI community. However, due to the limitation of the infrastructure, accuracy of the GPS, the popularization of the V2V technology etc., it is difficult to realise these social applications on the road at present. We proposed a prototype "HUD-AR", which utilizes camera of smart phone and computer vision technology to recognized other road users and transfer social information. "HUDAR" is an affordable solution to connected drivers, and provides insights and inspiration to the industry.
| Original language | English |
|---|---|
| Title of host publication | AutomotiveUI '17 Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 24-27 September 2017, Oldenburg, Germany |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc. |
| Pages | 249-250 |
| Number of pages | 2 |
| ISBN (Print) | 978-1-4503-5151-5 |
| DOIs | |
| Publication status | Published - 24 Sept 2017 |
| Event | 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2017) - Oldenburg, Germany Duration: 24 Sept 2017 → 27 Sept 2017 Conference number: 9 https://www.auto-ui.org/17/ |
Conference
| Conference | 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2017) |
|---|---|
| Abbreviated title | AutomotiveUI 2017 |
| Country/Territory | Germany |
| City | Oldenburg |
| Period | 24/09/17 → 27/09/17 |
| Internet address |
Keywords
- Augmented reality
- Computer vision
- Connected vehicles
- Social car
- Social communication
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