Abstract:
A system includes one or more processors, and data storage configured to store instructions that, when executed by the one or more processors, cause the system to perform functions. In this example, the functions include receiving sensor data that is collected by one or more sensors of a device over one or more locations and over a time period. Further, in the present example, the functions also include determining location estimates of the device by performing filtering of the sensor data to determine offsets for a least one sensor providing sensor data. The filtering is an iterative process of filtering control input data to determine the sensor bias based on data from a second sensor of the at least two sensors and adjusting the set of sensor data based on the determined bias.
Abstract:
A system includes one or more processors, and data storage configured to store instructions that, when executed by the one or more processors, cause the system to perform functions. In this example, the functions include receiving sensor data that is collected by one or more sensors of a device over one or more locations and over a time period. Further, in the present example, the functions also include determining location estimates of the device by performing filtering of the sensor data to determine offsets for a least one sensor providing sensor data. The filtering is an iterative process of filtering control input data to determine the sensor bias based on data from a second sensor of the at least two sensors and adjusting the set of sensor data based on the determined bias.
Abstract:
Traces are collected by multiple portable devices moving with an area that includes an indoor region, with each of the traces including measurements of wireless signals at different times, including measurements of wireless signals from signal sources disposed within the area. A motion map for the geographic area is constructed by determining, for each of the cells that make the motion map, respective probabilities of moving in various directions relative to each cell. Location estimates for the portable devices and the signal sources are generated using graph-based SLAM optimization of the location estimates. The graph-based SLAM optimization includes determining to which of the cells of the motion map the location estimate corresponds and applying the measurements of wireless signals sources and the set of probabilities of the cells as a first constraint and a second constraint, respectively, in the graph-based SLAM optimization.
Abstract:
Traces are collected by multiple portable devices moving with an area that includes an indoor region, with each of the traces including measurements of wireless signals at different times, including measurements of wireless signals from signal sources disposed within the area. A motion map for the geographic area is constructed by determining, for each of the cells that make the motion map, respective probabilities of moving in various directions relative to each cell. Location estimates for the portable devices and the signal sources are generated using graph-based SLAM optimization of the location estimates. The graph-based SLAM optimization includes determining to which of the cells of the motion map the location estimate corresponds and applying the measurements of wireless signals sources and the set of probabilities of the cells as a first constraint and a second constraint, respectively, in the graph-based SLAM optimization.
Abstract:
A system includes one or more processors, and data storage configured to store instructions that, when executed by the one or more processors, cause the system to perform functions. In one example, the functions include receiving logs of data, wherein respective data in the received logs of data are collected by one or more sensors of a device over one or more locations and over a time period. In the present example, the functions also include determining location estimates of the device by performing a simultaneous localization and mapping (SLAM) optimization of the location estimates using barometer data and GPS elevational data available in the logs of data, wherein the location estimates indicate elevational locations of the device over the time period.