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.

这项小型企业创新研究（SBIR）I阶段项目将开发和测试空间模型，算法和软件。需要将它们与地理空间数据集中最佳候选对象进行计算与位置和方向的实时测量相匹配。将定位信息数据与数字景观模型集成并开发针对粒度的合理计算模型是项目成功的关键。与当前基于位置的服务（将数字地图都贴在GPS PDA上）不同，该项目将利用定向传感器的使用，以便地理空间数据集不仅以用户为中心，而且以自我为中心为中心。这方面对我们的产品具有敏锐性，因为在工作的前面和背后，这是一系列强大而快速的算法，这些方面无法区分，这将构成一套综合的硬件 - 软件data产品的核心技术。在几种方面，对社会的好处都会受到好处。该项目将扩展手持设备的功能，并通过技术更好地了解环境。开发一种简单，易于使用且更直观的空间查询设备可以增加非专家用户的可访问性。该项目将通过与缅因州大学的空间信息与工程系（SIE）的合作以及位于缅因州奥罗诺市科学和技术研究孵化器Target Technology Center的合作来推进研究和教育的基础设施。该项目将通过与GK-12传感器项目合作促进，培训和学习的同时提高发现和理解；与毕业生合作，与高中生一起试用传感器技术，并在SIE开发GIS Day的材料。代表性不足的群体的参与将通过与EPSCOR机构的缅因大学合作加强信息技术研究来解决。