Mobile Human Computation for Indoor Localization and Navigation

摘要: Athula Balachandran Wolfgang Richter Carnegie Mellon University Page 1 Mobile Human Computation for Indoor Localization and Navigation Athula Balachandran Wolfgang Richter Carnegie Mellon University Challenges 1) Indoor localization without GPS or infrastructure specifically designed for indoor localization. 2) Large scale collection of images and sensor data from smartphones while efficiently serving images and data to requesting clients. 3) Incentivize collecting sensor data from smart.phones, or employ dedicated resources for gathering data and bootstrapping indoor localization and 3D recontrustruction services. Games to the Rescue! Games provide incentives for collecting high.quality data and have operated at large scale. Think games with a purpose2 human computation2reCAPTCHA. We propose a human computation based game that: 1) Incentivizes a constant source of sensor data with …