An Efficient, Platform-Independent Map Rendering Framework for Mobile Augmented Reality
Bibliographic Data
| ID | 22032691 |
|---|---|
| Authors | Kejia Huang (0000-0002-8530-370X, SuperMap Software Co., Ltd., Beijing 100015, China), Chenliang Wang (0000-0001-8139-0597, Chinese Academy of Sciences), Shaohua Wang (0000-0003-4451-8883, Chinese Academy of Sciences, corresponding author), Runying Liu (SuperMap Software Co., Ltd., Beijing 100015, China), Guoxiong Chen (0000-0002-3687-4012, SuperMap Software Co., Ltd., Beijing 100015, China), Xianglong Li (0000-0002-6200-1178, SuperMap Software Co., Ltd., Beijing 100015, China) |
| Year | 2021 |
| Volume | 10 |
| Issue | 9 |
| Pages | 593 |
| Publication date | 2021-09-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10090593 |
| OpenAlex | W3198072185 |
| Language | EN |
| Citations received | 6 |
| References cited | 50 |
With the extensive application of big spatial data and the emergence of spatial computing, augmented reality (AR) map rendering has attracted significant attention. A common issue in existing solutions is that AR-GIS systems rely on different platform-specific graphics libraries on different operating systems, and rendering implementations can vary across various platforms. This causes performance degradation and rendering styles that are not consistent across environments. However, high-performance rendering consistency across devices is critical in AR-GIS, especially for edge collaborative computing. In this paper, we present a high-performance, platform-independent AR-GIS rendering engine; the augmented reality universal graphics library (AUGL) engine. A unified cross-platform interface is proposed to preserve AR-GIS rendering style consistency across platforms. High-performance AR-GIS map symbol drawing models are defined and implemented based on a unified algorithm interface. We also develop a pre-caching strategy, optimized spatial-index querying, and a GPU-accelerated vector drawing algorithm that minimizes IO latency throughout the rendering process. Comparisons to existing AR-GIS visualization engines indicate that the performance of the AUGL engine is two times higher than that of the AR-GIS rendering engine on the Android, iOS, and Vuforia platforms. The drawing efficiency for vector polygons is improved significantly. The rendering performance is more than three times better than the average performances of existing Android and iOS systems
3D computer graphics · 3D rendering · Alternate frame rendering · Augmented reality · Graphics · Human–computer interaction · Operating system · Parallel rendering · Real-time rendering · Software rendering · Texture memory · Tiled rendering · Advanced Image and Video Retrieval Techniques · Augmented Reality Applications · Computer Science · Robotics and Sensor-Based Localization
A Pyramid Convolution-Based Scene Coordinate Regression Network for AR-GIS
A Fast and Accurate Spatial Target Snapping Method for 3D Scene Modeling and Mapping in Mobile Augmented Reality
An Automated Method for Generating Prefabs of AR Map Point Symbols Based on Object Detection Model
An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map
Characteristics of augmented map research from a cartographic perspective
Gsomar
| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |