This project aims to leverage crowdsourcing to locate events that are difficult to be monitored by surveillance cameras due to coverage and cost issues. The event in consideration is smoking.
This project aims to leverage crowdsourcing to locate events that are difficult to be monitored by surveillance cameras due to coverage and cost issues. The event in consideration is smoking.
UnLoc is an unsupervised indoor localization scheme that bypasses the need for war-driving. Our key observation is that certain locations in an indoor environment present an identifiable signature.
This paper attempts to solve the following problem: can a distant object be localized by looking at it through a smartphone. We design a system called Object Positioning System (OPS) that achieves reasonable localization accuracy.
This paper explores the viability of precise indoor localization using physical layer information in WiFi systems. We find evidence that channel responses from multiple OFDM subcarriers can be a promising location signature.
Towards a indoor localization solution that is easier to adopt, we propose SpinLoc that is free from war-driving. Instead, SpinLoc levies a little bit of the localization burden on the humans, expecting them to rotate around once to estimate their locations.
Finding a person in a public place, such as in a library or shopping mall, can be difficult. This paper identifies the possibility of using mobile phone sensors and opportunistic user-intersections to develop an electronic escort service.
This paper identifies the possibility of using electronic compasses and accelerometers in mobile phones and a local electronic map, as a simple and scalable method of localization without war-driving.
There have been few attempts in recognizing logical locations. We postulate that by combining phone's camera, microphone and motion sensors, it may be feasible to construct an identifiable fingerprint for logical localization.
GPS incurs an unacceptable energy cost. Alternate localization technologies, based onWiFi or GSM, improve battery life at the expense of localization accuracy. This paper quantifies this important tradeoff that underlies a range of emerging services.
Romit Roy Choudhury |
He Wang |
|
Hyojeong Shin |
|
Nirupam Roy |