Abstract: A method for the localization of an individual, which comprises: —detecting a displacement associated with a movement of said individual; —recording environmental signals recordable during said step and forming a detected time series; —applying said displacement to the particles of a particle filter; —assigning a similarity index to each particle of the particle filter; —resampling the particle filter; —assuming, as the estimated position of the individual, the position of the particle having the greatest value of the similarity index or the center of a group of particles having a predefined common characteristic.

Abstract: A system comprises a plurality of reference navigation systems, each reference navigation system configured to generate a respective reference navigation solution. The system also comprises a test navigation system, the test navigation system configured to generate a test navigation solution; and a processing unit configured to compare the test navigation solution to each of the respective reference navigation solutions to estimate one or more errors in the differences between the test navigation solution and the respective reference navigation solutions. The processing unit is further configured to update the respective reference navigation solutions to account for the corresponding one or more estimated errors. The processing unit is also configured to compare the test navigation solution to the updated reference navigation solutions to generate a performance score representative of the performance of the test navigation system.

Abstract: Methods and systems for producing data describing states of a plurality of targets using a processor in a system having at least one onboard sensor. The method includes obtaining data from at least one onboard sensor and performing a first data fusion process on the obtained onboard sensor data to produce onboard sensor fused data. Data is also obtained from at least one off-board sensor, and a second, different data fusion process is performed on the obtained off-board sensor data and the onboard sensor fused data to produce target state data.

Abstract: A navigation system includes at least one inertial sensor configured to detect motion of the system and generate inertial data; at least one aiding device configured to generate aiding device measurement data; at least one processing unit configured to generate an un-smoothed navigation solution inclusive of navigation state variable error resets based on the inertial data and the aiding device measurement data; wherein the at least one processing unit is further configured to sum the state variable error resets into a cumulative sum of the state variable error resets; wherein the at least one processing unit is further configured to high pass filter the cumulative sum of the state variable error resets; and wherein the at least one processing unit is further configured to subtract the high pass filtered cumulative sum of the state variable error resets from the un-smoothed navigation solution to generate a smoothed navigation solution.

Abstract: A method of determining a GPS position fix is disclosed together with a corresponding GPS receiver and server for the same. The method comprising the steps of: (i) providing standard GPS ephemeris corresponding to that transmitted by a GPS satellite; (ii) providing supplemental GPS ephemeris including at least one parameter describing the fluctuation over time of at least one satellite orbit parameter of standard GPS ephemeris; (iii) measuring psuedoranges to GPS satellites; and (iv) determining a GPS position fix from both the standard and supplemental GPS ephemeris provided in steps (i) and (ii) respectively and the psuedoranges measured in step (iii).

Abstract: Embodiments include systems and methods of navigation. In on embodiment, a plurality of position and motion states of a vehicle are estimated. The states may be estimated based on information received from a satellite receiver and an inertial measurement sensor. Estimating the states comprises performing one or more of a plurality of update steps at the rate that information is received from the satellite receiver. The states are estimated at a rate greater than the rate at which the update steps are performed. In one embodiment, the states are estimated using a stepped extended Kalman filter.

Abstract: Systems and methods for determining a position of a vehicle are described. The system includes at least one GNSS sensor mounted to the vehicle for receiving GNSS signals of a global positioning system and at least one physical sensor mounted to the vehicle for generating physical data indicative of a physical parameter of at least a part of the vehicle. The system also includes a recursive statistical estimator, such as a Kalman Filter, in communication with the GNSS sensor(s) for seeding the recursive statistical estimator with an output of the GNSS sensor(s) to determine an estimated position of the vehicle. A data fusion module combines the estimated position and velocity of the vehicle with the physical data thus generating combined data, which is used to seed the recursive statistical estimator to determine an updated estimated position of the vehicle.

Abstract: The invention provides a method for identification of traffic lane boundary. Firstly the microwave signal is received, and the noise reduction is treated for the microwave signal. Then the frequency domain information is employed to calculate the legal set of closed interval, in order to form the frequency span information. Finally, the probability density function model is employed to calculate the frequency span information in order to identify the traffic lane boundary.