Solving Indoor Mapping and Navigation

户外地图和GPS改变了我们的生活。每天有数亿人依赖这些服务，开车去咖啡馆参加商务会议，计划在一个不知名的城市度假，或者带生病的孩子去医院。我们大部分时间都呆在室内。室内地图和全球定位系统，如果成功，同样会在各个方面对我们的社会产生重大影响。 该提议寻求建立用于室内测绘和GPS的鲁棒计算框架：1）产生建筑物内部的结构化几何模型作为理解建筑组件（例如，墙壁和房间）及其关系（例如，门连接办公室和走廊）;以及2）即使在完全黑暗的情况下，也可以随时随地通过智能手机跟踪运动并定位个人的位置。我们寻求通过利用新兴的移动的3D传感、低能耗惯性传感器和大数据机器学习技术来取得突破。一个关键的里程碑将是西蒙弗雷泽大学校园的室内GPS和地图系统，在那里人们能够定位自己，并找到室内和室外目的地的方向，这是世界上第一个校园规模的同类系统。 室内测绘和GPS的潜在影响将是巨大的。人们永远不会在室内迷路。室内导航系统可让视障人士探索室内空间，并让行动不便的人士查询无障碍路线。在移动的计算时代，室内地图和GPS将为位置感知服务打开一个全新的市场。自动建筑重建将为游戏创造有效的资产，这是温哥华、多伦多或蒙特利尔等许多加拿大城市的一个活跃行业。结构化几何重构将带来更好的地图创建，这对多伦多新兴的自动驾驶汽车行业至关重要。室内测绘和全球定位系统的潜在应用将远远超出这些例子，并包括建筑，真实的房地产和建设。 户外GPS在90年代通过卫星蓬勃发展。千禧年后，户外测绘通过数字成像和3D重建技术得到了解决。我们相信，室内测绘和GPS即将通过新兴的3D传感、可穿戴计算技术和深度神经网络找到一种方法，这将在科学、工程和商业领域实现大量的新应用。

Outdoor Mapping and GPS changed our lives. Hundreds of millions of people rely on the services everyday, driving to a cafe for a business meeting, planning a vacation trip in an unknown city, or taking a sick child to a hospital. We spend most of our time indoors. Indoor Mapping and GPS, if successful, would similarly make significant impact to our society in every aspect. This proposal seeks to establish robust computational frameworks for Indoor Mapping and GPS: 1) Producing structured geometric models of building interiors as floorplans that understand architectural components (e.g., walls and rooms) and their relationships (e.g., a door connects an office and a corridor); and 2) Tracking motions and localizing the position of an individual just from a smartphone anytime anywhere even in complete darkness. We seek to make breakthroughs by exploiting emerging mobile 3D sensing, low-energy inertial sensors, and big-data machine learning techniques. A key milestone will be an indoor GPS and Mapping system of Simon Fraser University campus, where one is able to localize oneself and find a direction to a destination indoors and outdoors, the first of a kind in the world at a campus scale. The potential impact of Indoor Mapping and GPS will be immense. People will never get lost indoors. Indoor navigation will enable the visually impaired to explore indoor spaces, and the mobility impaired to look up accessible routes. In the days of mobile computing, Indoor Mapping and GPS will open a completely new market for location aware services. Automatic building reconstruction will lead to effective asset creation for gaming, an active industry in many Canadian cities such as Vancouver, Toronto, or Montreal. Structured geometry reconstruction will lead to better map creation, critical for autonomous car industry emerging in Toronto. Potential applications of Indoor Mapping and GPS would go far beyond these examples, and include architecture, real estate, and construction. Outdoor GPS flourished via satellites in the 90s. Outdoor Mapping met a solution through digital imaging and 3D reconstruction techniques after the millennium. We believe that Indoor Mapping and GPS are about to find a way through emerging 3D sensing, wearable computing technologies, and deep neural networks, which will enable a plethora of novel applications in science, engineering, and commerce.