A parallel method for accelerating visualization and interactivity for vector tiles

Hu, Wei; Li, Lin; Wu, Chao; Zhang, Hang; Zhu, Haihong

doi:10.1371/journal.pone.0221075

Cited by 4 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Examples include transformation of map symbols from geographic coordinates to OpenGL Render Object [39] in a multi-threaded manner using multiple CPUs and transformation from a OpenGL Render Object to screen coordinates by using multiple GPUs (multiple cores) to perform sub-processes and thus reduce computing time. Although parallel computing has been widely used in GIS software [40][41][42], this paper proposes a combined parallel computing method of multi CPU and GPU multi-core to accelerate the conversion of geographic coordinate data.…”

Section: Ar-gis Map Symbol Parallel Processing Frameworkmentioning

confidence: 99%

An Efficient, Platform-Independent Map Rendering Framework for Mobile Augmented Reality

Huang

Wang

et al. 2021

IJGI

View full text Add to dashboard Cite

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.

show abstract

Section: Ar-gis Map Symbol Parallel Processing Frameworkmentioning

confidence: 99%

An Efficient, Platform-Independent Map Rendering Framework for Mobile Augmented Reality

Huang

Wang

et al. 2021

IJGI

View full text Add to dashboard Cite

show abstract

“…With a lack of formal standards, studies of vector tiles still concentrate on aspects such as the application advantage analysis of web map vector tiles and correct loading and display of vector tiles [27][28][29]. At present, both Google (https://mashable.com/category/google-maps/) and Apple (https://developer.apple.com/maps/web/) use exclusive vector tile encoding formats that cannot be used by the general public.…”

Section: Vector Tile Solution Supported Tile Formatsmentioning

confidence: 99%

A PDF Tile Model for Geographic Map Data

Zhou

Meng

et al. 2019

IJGI

View full text Add to dashboard Cite

Vector tile mapping is an important issue in web map research. At present, vector tile mapping requires the symbolization of geographic information, as supported by cartographic software, and the development of a corresponding symbolic database when web map services are provided for users. The development of PDF (portable document format) mapping makes it possible to use symbolized map data directly for web map services. This paper presents a PDF tile map model suitable for web map services, in order to provide a new solution for vector tile mapping. This paper details the construction and establishment method of the PDF tile map model and verifies that the model has the characteristics of a vector tile map and that this approach can provide web map services. In addition, this model has some other noticeable characteristics. First, the map service supported by this model does not require the support of cartographic software, and thus has low system software and hardware requirements. Second, the maps displayed in the service system can be directly used for high-quality map publishing. Third, the high popularity of the PDF format can promote the sharing of PDF tile maps and reduce the use threshold of ordinary users.

show abstract

“…It is well known among GIS researchers that the time-consuming steps of real-time vector mapping is querying spatial data, retrieving them and rendering geometric graphics [36]. A variety of approaches, including generating the tiled data [37,38], simplifying the vector [39] and parallel optimization [40,41], have been used to improve the efficiency of vector data rendering.…”

Section: Introductionmentioning

confidence: 99%

An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map

Wang

Huang

Shi

2022

IJGI

View full text Add to dashboard Cite

Increasingly complex vector map applications and growing multi-source spatial data pose a serious challenge to the accuracy and efficiency of vector map visualization. It is true especially for real-time and dynamic scene visualization in mobile augmented reality, with the dramatic development of spatial data sensing and the emergence of AR-GIS. Such issues can be decomposed into three issues: accurate pose representation, fast and precise topological relationships computation and high-performance acceleration methods. To solve these issues, a novel quaternion-based real-time vector map visualization approach is proposed in this paper. It focuses on precise position and orientation representation, accurate and efficient spatial relationships calculation and acceleration parallel rendering in mobile AR. First, a quaternion-based pose processing method for multi-source spatial data is developed. Then, the complex processing of spatial relationships is mapped into simple and efficient quaternion-based operations. With these mapping methods, spatial relationship operations with large computational volumes can be converted into efficient quaternion calculations, and then the results are returned to respond to the interaction. Finally, an asynchronous rendering acceleration mechanism is also presented in this paper. Experiments demonstrated that the method proposed in this paper can significantly improve vector visualization of the AR map. The new approach, when compared to conventional visualization methods, provides more stable and accurate rendering results, especially when the AR map has strenuous movements and high frequency variations. The smoothness of the user interaction experience is also significantly improved.

show abstract

A parallel method for accelerating visualization and interactivity for vector tiles

Cited by 4 publications

References 30 publications

An Efficient, Platform-Independent Map Rendering Framework for Mobile Augmented Reality

An Efficient, Platform-Independent Map Rendering Framework for Mobile Augmented Reality

A PDF Tile Model for Geographic Map Data

An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map

Contact Info

Product

Resources

About