SBIR Phase I: iPointer - A Device for Directly Querying Geographic Objects in the Field

SBIR 第一阶段：iPointer - 直接查询野外地理对象的设备

• 批准号: 0340041
• 负责人: Chris Frank
• 金额: $ 9.9万
• 依托单位: INTELLIGENT SPATIAL TECHNOLOGIES
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0340041&HistoricalAwards=false
• 关键词: SBIR; Phase; iPointer; Device; Directly

This Small Business Innovation Research (SBIR) Phase I project will develop and test the spatial models, algorithms, and software. They are needed to computationally match the real-time measurements of location and orientation with the best candidate object in a geospatial dataset. Integrating location-orientation information data with a digital landscape model and developing a plausible computational model that targets granularity is key to the success of the project. Unlike the current location-based services, which put digital maps on to GPS PDAs, this project will exploit the use of orientation sensors so that geospatial datasets are not only user centered but also egocentrically oriented. This aspect is germane to our product since no distinction could be made between such cogitative aspects as in front and behind an important outcome of the work will be a set of robust and fast algorithms that will form the core technology of an integrated hardware-software-data product.The benefits to society will be felt in several ways. The project will extend the capability of handheld devices and enable a better understanding of the environment through technology. Developing a spatial query device that is simple, easy to use and more intuitive increases accessibility for non-specialist users. The project will advance infrastructure for research and education through collaboration with the Spatial Information and Engineering (SIE) Department at the University of Maine and by being based at the Target Technology Center, an incubator for science and technical research in Orono, Maine. The project will advance discovery and understanding while promoting Teaching, Training and Learning through collaboration with the GK-12 Sensors Project; working with graduates to trial the sensor technology with high school students, and by developing materials for the GIS day at SIE. Participation of underrepresented groups will be addressed through strengthening information technology research in collaboration with the University of Maine, an EPSCoR institution.

这个小企业创新研究（SBIR）第一阶段项目将开发和测试空间模型，算法和软件。它们需要在计算上将位置和方向的实时测量与地理空间数据集中的最佳候选对象相匹配。将位置定向信息数据与数字景观模型相结合，并开发一个合理的计算模型，目标粒度是该项目成功的关键。与目前基于位置的服务不同，该项目将利用定位传感器的使用，使地理空间数据集不仅以用户为中心，而且以自我为中心。这方面与我们的产品密切相关，因为在这些思考方面之间没有区别，因为在工作的重要成果之前和之后，将是一套强大而快速的算法，这些算法将形成集成硬件-软件-数据产品的核心技术。该项目将扩大手持设备的能力，并通过技术更好地了解环境。开发一个简单、易于使用和更直观的空间查询设备，增加了非专业用户的可访问性。该项目将通过与缅因州大学空间信息和工程（SIE）系的合作，并通过设在缅因州奥罗诺的科学和技术研究孵化器目标技术中心，推进研究和教育基础设施。该项目将通过与GK-12传感器项目合作，促进发现和理解，同时促进教学，培训和学习;与毕业生合作，与高中生一起试用传感器技术，并为SIE的GIS日开发材料。将通过与EPSCoR机构缅因州大学合作加强信息技术研究，解决代表性不足群体的参与问题。