Name
Abstract | ||
|---|---|---|
This paper describes a system that provides general head-worn outdoor augmented reality (AR) capability for the user inside a moving vehicle. Our system follows the concept of combining pose estimation from both vehicle navigation system and wearable sensors to address the failure of commercial AR devices inside a moving vehicle. We continuously match natural visual features from the camera against a prebuilt database of interior vehicle scenes. To improve the robustness in a moving vehicle with other passengers, a human detection module is adapted to filter out people from the camera scene. Experiments demonstrate the effectiveness of the proposed solution. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/VRW55335.2022.00191 | 2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiwei Zhu | 1 | 694 | 55.60 |
| Mikhail Sizintsev | 2 | 149 | 8.87 |
| Glenn Murray | 3 | 0 | 0.34 |
| Han-Pang Chiu | 4 | 94 | 10.83 |
| Ali Chaudhry | 5 | 0 | 0.68 |
| Supun Samarasekera | 6 | 792 | 85.72 |
| Rakesh Kumar | 7 | 1923 | 157.44 |