PFI-RP: Smart and Accessible Transportation Hub for Assistive Navigation and Facility Management

PFI-RP：用于辅助导航和设施管理的智能无障碍交通中心

• 批准号: 1827505
• 负责人: Zhigang Zhu
• 金额: $ 75万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827505&HistoricalAwards=false
• 关键词: PFI; RP; Smart; Accessible; Transportation

The broader impact/commercial potential of this PFI project lies in its ultimate goal to transform a large transportation hub into a smart and accessible hub (SAT-Hub), with minimal infrastructure change. The market opportunity is tremendous as there are various large transportation hubs in the United States. The solution can also be extended to indoor navigation of other public facilities, such as school buildings, libraries, office buildings, and airports. The project will lead to three important outcomes: live facility models for facility management by transportation agencies, free indoor positioning and navigation apps for end users, and a rich set of multimodal transportation data and tools for researchers and developers. The societal need is significant, especially impactful for people in great need, such as those with visual impairments and autism spectrum disorder (ASD), and those with challenges in finding places, particularly persons unfamiliar with metropolitan areas. In the U.S. alone, 6.6 million people have visual impairments, and 1 in 45 people have been diagnosed with ASD. The SAT-Hub will be an exemplar case to extend the reach of their mobility, give them more freedom, allow them to enhance the richness and quality of their lives, and improve their employment opportunities. The proposed project integrates an existing surveillance camera system, installed Bluetooth beacons, and a building information model of a transportation or other public facility, with a hybrid solution of a mobile phone localization app (using beacons, on-board sensors, and cameras along with 3D sensors). These will be incorporated with personalized user interfaces to provide a seamless service to the end users, while also providing valuable user information and facility use information to transportation infrastructure stakeholders. Our solution is a system-engineering approach to a challenging problem in urban transportation that integrates three major components: multilayer live facility modeling tools, hybrid mobile navigation algorithms, and multimodal human-centric interface designs. The technology innovation lies in the integration of smart infrastructure (civil engineering) with accessible services (sensing and computing). The key technological challenges come from two sides: the seamless integration of the system with the main operations of a transportation or other facility base on obtaining information and data (such as surveillance data and 3D model data), and the optimization and personalization of user interfaces to address various user needs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个PFI项目更广泛的影响/商业潜力在于其最终目标是将一个大型交通枢纽转变为一个智能和无障碍枢纽（SAT-Hub），只需最小的基础设施变化。市场机会是巨大的，因为美国有各种大型交通枢纽。该解决方案还可以扩展到其他公共设施的室内导航，例如学校建筑，图书馆，办公楼和机场。该项目将产生三个重要成果：用于运输机构设施管理的实时设施模型，为最终用户提供免费的室内定位和导航应用程序，以及为研究人员和开发人员提供丰富的多式联运数据和工具。社会需求是重要的，特别是对那些有巨大需求的人，如视力障碍和自闭症谱系障碍（ASD），以及那些在寻找地方，特别是不熟悉大都市地区的人的挑战。仅在美国，就有660万人患有视力障碍，每45人中就有1人被诊断为ASD。卫星枢纽将成为一个范例，以扩大他们的流动范围，给他们更多的自由，使他们能够提高他们的生活的丰富性和质量，并改善他们的就业机会。该项目将现有的监控摄像系统、已安装的蓝牙信标以及交通或其他公共设施的建筑信息模型与移动的手机定位应用程序的混合解决方案（使用信标、车载传感器和摄像头沿着以及3D传感器）集成在一起。这些将与个性化的用户界面相结合，为最终用户提供无缝服务，同时也为交通基础设施的利益相关者提供有价值的用户信息和设施使用信息。 我们的解决方案是一个系统工程的方法来解决城市交通中的一个具有挑战性的问题，它集成了三个主要组成部分：多层实时设施建模工具，混合移动的导航算法和多模式以人为中心的界面设计。技术创新在于智能基础设施（土木工程）与可访问服务（传感和计算）的整合。关键的技术挑战来自两个方面：在获取信息和数据的基础上，系统与运输或其他设施的主要操作的无缝集成（如监测数据和3D模型数据），该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

An AI-enabled Annotation Platform for Storefront Accessibility and Localization

一个支持人工智能的注释平台，用于店面可访问性和本地化

• 发表时间: 2023
• 期刊: Journal on technology and persons with disabilities
• 作者: Wang, X.;Liu, J.;Tang, H.;Zhu, Z.;Seiple, W. H.
• 通讯作者: Seiple, W. H.

ASSIST: Assistive Sensor Solutions for Independent and Safe Travel of Blind and Visually Impaired People

ASSIST：帮助盲人和视障人士独立安全出行的辅助传感器解决方案

• 发表时间: 2021
• 期刊: IJCAI AI for Social Good Workshop
• 作者: Zhu, Z.;Nair, V.;Olmschenk, G.;Seiple, W. H.
• 通讯作者: Seiple, W. H.

A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes [A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes]

城市场景中物体检测的通用上下文学习和推理框架 [城市场景中物体检测的通用上下文学习和推理框架]

• DOI: 10.5220/0011637600003417
• 发表时间: 2023
• 期刊: Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023
• 作者: Wang, Xuan;Tang, Hao;Zhu, Zhigang
• 通讯作者: Zhu, Zhigang

Monocularly Generated 3D High Level Semantic Model by Integrating Deep Learning Models and Traditional Vision Techniques

通过集成深度学习模型和传统视觉技术单目生成 3D 高级语义模型

• DOI: 10.1109/ist50367.2021.9651471
• 发表时间: 2021
• 期刊: 2021 IEEE International Conference on Imaging Systems and Techniques (IST
• 作者: Alsheimer, Steven;Zhu, Zhigang
• 通讯作者: Zhu, Zhigang

Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability

• DOI: 10.1109/tkde.2019.2955686
• 发表时间: 2021-06
• 期刊: IEEE Transactions on Knowledge and Data Engineering
• 影响因子: 8.9
• 作者: Kai Zhao;Denis Khryashchev;H. Vo