Automatic Creation and Real-time Update of Detailed 3D Maps Using LiDAR and Images

使用 LiDAR 和图像自动创建和实时更新详细的 3D 地图

• 批准号: RGPIN-2019-04391
• 负责人: Wang, Ruisheng
• 金额: $ 1.89万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681376
• 关键词: Automatic; Creation; Real; time; Update

Detailed and up-to-date 3D maps are essential components of applications, such as smart cities and intelligent transportation systems. In recent years, the demand for such 3D maps has dramatically increased. These needs arise particularly from self-driving cars and autonomous logistics. According to Research and Markets, the global autonomous vehicles market revenue is expected to grow at a CAGR (compound annual growth rate) of 39.6% during the forecast period 20172027, reaching $126.8 billion by 2027. Detailed and revised 3D maps are a prerequisite for autonomous applications, and this proposal addresses the fundamental issues associated with automated mapping. The proposed three projects exist under a unified framework that integrates multimodal data for the automatic creation of detailed 3D maps.******Due to the great success of deep learning in object recognition and classification, the recognition and classification of objects from images has been largely achieved. However, this is not true for 3D point clouds, which suffer from a lack of effective 3D representation. The first project aims to develop a 3D deep learning system that uses different data structures to represent point clouds for the semantic segmentation of 3D point clouds. The second project involves the development of a satellite imagery parsing system that uses digital surface model (DSM) information. 3D maps can be generated using LiDAR, images, or a combination thereof. The combination of both constitutes a sensor fusion approach that uses the advantages of each to overcome their limitations. Given high-resolution satellite images and the corresponding DSMs, which can be regarded as 3D point clouds, the system simultaneously segments and labels images with high precision. The last project involves fine-grained façade modeling using mobile LiDAR and point clouds from aerial images. Despite detailed 3D building models being one of the key components in 3D maps, they have not been sufficiently researched. We aim to develop a fine-grained façade modeling system that is applicable for various styles. The proposed research builds upon my previous work and will significantly drive cutting-edge research in the targeted areas. The results will have a substantial economic impact on the mapping and navigation industry, location-based service providers, as well as social benefits to Canada as a whole.*****************

详细的和最新的3D地图是应用程序的重要组成部分，例如智能城市和智能系统。和市场，全球自动志愿的收入预计将在20172027的预测期内增加6％的ATA CAGR，到2027年达到1.268亿美元。详细和恢复的3D地图是自主申请的先决条件，这一建议与自动化的基础有关。在统一的框架下，在对象识别和分类中整合了多模式的数据，以实现对象的识别和分类。 3D点云，缺乏效率3D代表学习系统，该系统使用数据结构用于3D点云的语义分割。 ）可以使用LIDAR图像生成3D地图，或者两种融合方法的组合都使用每个融合方法，这些方法都使用了每个融合的优势来克服其限制。作为3D点云，尽管详细的3D建筑物变化是3D地图的关键组件，但同时使用较高的法师标记图像。适用于各种风格。 ****************************************************** *******