== Indoor Localization == [[TOC(Other/Summer/2015*, depth=3)]] == Introduction == The use of GPS services is growing just as fast as the development and accessibility of mobile devices. A GPS device, which used to be a significant investment, is now included in every smartphone that emerges on the market. These services have assisted many as they navigate themselves from place to place outdoors. Although GPS is well-defined outdoors, localization indoors is still an active research problem. GPS signals indoors tend to be weaker; even if they are usable, the accuracy associated with GPS signals is not up to par. Large errors (on the order of meters) associated with GPS generally do not affect the user's ability to navigate to buildings, parks, landmarks, etc. Errors on the order of meters indoors, however, could mean that somebody is in a different room or different building altogether. A fine-grained service, down to the centimeter, is needed to localize indoors. === Motivation === An effective, low-cost, easy-to-implement solution to the indoor localization problem will have immediate impacts on everyday life, especially commercial retail. Based on movements of people in a store, retailers could determine where to place their best-selling items. They could place products effectively to accommodate shoppers and increase profits. In addition to commercial applications, indoor localization could help emergency responders efficiently respond to calls indoors, or help the elderly navigate inside a large building. Once the technology is fully developed, there are plenty of applications. == Weekly Presentations == Presentations are done on a weekly basis before other research interns or professors. Presentations include the group's accomplishments over the past week as well as goals for the following week [https://docs.google.com/presentation/d/19tk2BQUCDE6SibGhI5q5ZbgrDVxeivjv-o5k8SRUtpU/pub?start=false&loop=false&delayms=3000 Week 2][[BR]] [https://docs.google.com/presentation/d/1bB5xOKHx_YjLfJ1QgAFkz9POWl7zakhP11L4NGwn4Mg/pub?start=false&loop=false&delayms=3000 Week 3][[BR]] [https://docs.google.com/presentation/d/1Zwrn0vNEuN4WQPvoh9i3Pk9lSppQn_kekqOq8mlOKdM/pub?start=false&loop=false&delayms=60000 Week 4][[BR]] [https://docs.google.com/presentation/d/1g_KbZgF6W24HXhJNMXTMtkahgETWTUDOlhRXyfhY3hA/pub?start=false&loop=false&delayms=3000 Week 5][[BR]] === Team === {{{ #!html
Rahul Hingorani University of Michigan Inudstrial/Electrical |
Vineet Shenoy Rutgers University Electrical and Computer Engineering |
Karan Rajput Rutgers University Electrical and Computer Engineering |