The present disclosure provides methods and systems for identifying or verifying trip information. A method for identifying or verifying a trip of a vehicle comprises detecting a presence of the vehicle with a mobile computing device of a user. The mobile computing device may be removable from the vehicle. Next, a trip start may be determined when the vehicle is detected by the mobile computing device as being present. Trip data may be recorded for a trip of the vehicle subsequent to the trip start, the trip data being based at least in part on sensor readings. A trip end that corresponds to an end of the trip of the vehicle may be detected and verified.

The present disclosure provides methods and systems for identifying or verifying trip information. A method for identifying or verifying a trip of a vehicle comprises detecting a presence of the vehicle with a mobile computing device of a user. The mobile computing device may be removable from the vehicle. Next, a trip start may be determined when the vehicle is detected by the mobile computing device as being present. Trip data may be recorded for a trip of the vehicle subsequent to the trip start, the trip data being based at least in part on sensor readings. A trip end that corresponds to an end of the trip of the vehicle may be detected and verified.

A control system for a screen of a vehicle includes a global positioning system (GPS), an inertia sensor and a control circuit. The GPS detects a satellite signal from a satellite. The inertia sensor senses motion of the vehicle and correspondingly generates a motion state value. The control circuit performs one of a first determination procedure and a second determination procedure according to the state of the satellite signal. In the first determination procedure, the control circuit calculates the vehicle speed of the vehicle according to the satellite signal, and selectively locks the screen of the vehicle according to the vehicle speed. In the second determination procedure, the control circuit generates a motion signal according to the motion state value, and selectively locks the screen of the vehicle according to the motion signal. Accordingly, driving safety can still be effectively ensured even in the case of poor satellite signals.

A control system for a screen of a vehicle includes a global positioning system (GPS), an inertia sensor and a control circuit. The GPS detects a satellite signal from a satellite. The inertia sensor senses motion of the vehicle and correspondingly generates a motion state value. The control circuit performs one of a first determination procedure and a second determination procedure according to the state of the satellite signal. In the first determination procedure, the control circuit calculates the vehicle speed of the vehicle according to the satellite signal, and selectively locks the screen of the vehicle according to the vehicle speed. In the second determination procedure, the control circuit generates a motion signal according to the motion state value, and selectively locks the screen of the vehicle according to the motion signal. Accordingly, driving safety can still be effectively ensured even in the case of poor satellite signals.

A PVT calculation device includes a memory; and one or more processors in communication with the memory configured to perform operations including: receiving observations and ephemerides from satellites to obtain PVT data of the satellites and predicted PVT results of the receiver; setting up observation functions respectively corresponding to the satellites; calculating by a least square solution first estimated PVT results of the receiver based on the observation functions; iteratively eliminating by a Random-Sampling Iterative Kalman Filter (RSIKF) algorithm fault observation functions from the observation functions in an inner cluster until no fault observation functions detected in the inner cluster; calculating by the RSIKF algorithm a second estimated PVT results of the receiver using the observation functions in the inner cluster; and outputting final estimated PVT results of the receiver. The PVT calculation device may calculate the PVT results of the receiver with improved accuracy and stability.

A PVT calculation device includes a memory; and one or more processors in communication with the memory configured to perform operations including: receiving observations and ephemerides from satellites to obtain PVT data of the satellites and predicted PVT results of the receiver; setting up observation functions respectively corresponding to the satellites; calculating by a least square solution first estimated PVT results of the receiver based on the observation functions; iteratively eliminating by a Random-Sampling Iterative Kalman Filter (RSIKF) algorithm fault observation functions from the observation functions in an inner cluster until no fault observation functions detected in the inner cluster; calculating by the RSIKF algorithm a second estimated PVT results of the receiver using the observation functions in the inner cluster; and outputting final estimated PVT results of the receiver. The PVT calculation device may calculate the PVT results of the receiver with improved accuracy and stability.

Presented herein are systems and methods for generating a consistent set of signals to be processed by a PVT processor. In one or more examples, a GNSS receiver can receive a plurality of signals from a plurality of signal sources. In one or more examples, the systems and methods can generate clusters that have been vetted using cost functions so as to maximize the probability that any cluster that is sent to the PVT processor contains legitimate GNSS signals, and does not include any spoofed or otherwise illegitimate signals, thereby maximizing the probability that a PVT solution produced by the PVT processor is accurate.

Presented herein are systems and methods for generating a consistent set of signals to be processed by a PVT processor. In one or more examples, a GNSS receiver can receive a plurality of signals from a plurality of signal sources. In one or more examples, the systems and methods can generate clusters that have been vetted using cost functions so as to maximize the probability that any cluster that is sent to the PVT processor contains legitimate GNSS signals, and does not include any spoofed or otherwise illegitimate signals, thereby maximizing the probability that a PVT solution produced by the PVT processor is accurate.

Provided is an electronic device capable of suitably determining whether a user is moving or stationary. The electronic device includes a speed acquisition unit that acquires a user's moving speed and a processor that determines whether the user is in a moving state or in a pause state. In the moving state, the processor determines that a transition from the moving state to the pause state has occurred in the case where the moving speed acquired by the speed acquisition unit is less than the pause speed threshold. In the pause state, the processor determines that a transition from the pause state to the moving state has occurred in the case where the moving speed acquired by the speed acquisition unit is equal to or more than the moving speed threshold.

Provided is an electronic device capable of suitably determining whether a user is moving or stationary. The electronic device includes a speed acquisition unit that acquires a user's moving speed and a processor that determines whether the user is in a moving state or in a pause state. In the moving state, the processor determines that a transition from the moving state to the pause state has occurred in the case where the moving speed acquired by the speed acquisition unit is less than the pause speed threshold. In the pause state, the processor determines that a transition from the pause state to the moving state has occurred in the case where the moving speed acquired by the speed acquisition unit is equal to or more than the moving speed threshold.