A system and method for estimating a velocity of a vehicle, including obtaining readings of at least one inertial sensor that is attached to the vehicle, calculating a time difference between a time when an irregularity is sensed in a first location of the vehicle and a time when the irregularity is sensed in a second location of the vehicle, and calculating the velocity of the vehicle based on the time difference.

A system and method for estimating a velocity of a vehicle, including obtaining readings of at least one inertial sensor that is attached to the vehicle, calculating a time difference between a time when an irregularity is sensed in a first location of the vehicle and a time when the irregularity is sensed in a second location of the vehicle, and calculating the velocity of the vehicle based on the time difference.

The present disclosure provides a method for vehicle speed estimation using multiple geomagnetic sensors, and mainly solves the problem of low accuracy of vehicle speed estimation in existing single-geomagnetic, dual-geomagnetic and multi-geomagnetic scenarios. There are M vehicle detection modules (1), and the vehicle detection modules are deployed along a roadside at equal intervals and configured to detect processes that a vehicle approaches and leaves a detection point, record the time when the vehicle approaches the detection point and send time data to a data processing module (2). In order to avoid the situation that the vehicle detection modules do not detect the vehicle and may not perform, vehicle speed estimation, the data processing module (2) performs matching of data association on the time data uploaded by all the vehicle detection modules by using standard deviations of vehicle position estimation and speed estimation, and performs multiple Kalman filter iterations on the matched time data and the positions of the vehicle detection modules, so as to obtain a precise vehicle speed. The present disclosure improves the accuracy of vehicle speed estimation, and may be used for intelligent transportation management.

The present disclosure provides a method for vehicle speed estimation using multiple geomagnetic sensors, and mainly solves the problem of low accuracy of vehicle speed estimation in existing single-geomagnetic, dual-geomagnetic and multi-geomagnetic scenarios. There are M vehicle detection modules (1), and the vehicle detection modules are deployed along a roadside at equal intervals and configured to detect processes that a vehicle approaches and leaves a detection point, record the time when the vehicle approaches the detection point and send time data to a data processing module (2). In order to avoid the situation that the vehicle detection modules do not detect the vehicle and may not perform, vehicle speed estimation, the data processing module (2) performs matching of data association on the time data uploaded by all the vehicle detection modules by using standard deviations of vehicle position estimation and speed estimation, and performs multiple Kalman filter iterations on the matched time data and the positions of the vehicle detection modules, so as to obtain a precise vehicle speed. The present disclosure improves the accuracy of vehicle speed estimation, and may be used for intelligent transportation management.

The driving assistance device (10) for a railway vehicle comprises means (12) for determining a target speed (V.sub.c), means (20) for comparing an instantaneous speed (V.sub.i) of the railway vehicle with the target speed (V.sub.c) or an interval surrounding the target speed, and means (22) for indicating driving instructions intended for a driver of the railway vehicle, said driving instructions including instructions for modifying the instantaneous speed (V.sub.i) with view to bringing it closer to the target speed (V.sub.c).

The driving assistance device (10) for a railway vehicle comprises means (12) for determining a target speed (V.sub.c), means (20) for comparing an instantaneous speed (V.sub.i) of the railway vehicle with the target speed (V.sub.c) or an interval surrounding the target speed, and means (22) for indicating driving instructions intended for a driver of the railway vehicle, said driving instructions including instructions for modifying the instantaneous speed (V.sub.i) with view to bringing it closer to the target speed (V.sub.c).

One or more devices in an accident detection and recovery computing system may be configured to determine that vehicle accidents have occurred, collect and analyze accident characteristics and other related data, and providing customized accident recovery services. Mobile computing devices, alone or in combination with vehicle-based systems and external devices, may detect accidents or receive accident indication data. After determining that an accident has occurred, mobile computing devices and/or vehicle-based systems may be configured to determine accident characteristics, retrieve vehicle data and vehicle occupant data from one or external servers, determine the damages or potential damages resulting from the accident, and determine one or more accident recovery options or recommendations based on the accident damages. Various user interface screens may be generated and displayed via the user's mobile device and/or a vehicle-based display device to provide the user with accident information, damages, and recovery options or recommendations.

A magnetic sensor includes a plurality of pairs of sensor elements, with each pair of sensor elements including two sensor elements that are oppositely disposed on a circumference of a circle arranged in a sensor plane of the magnetic sensor; and a sensor circuit configured to generate a first pulsed output signal based on a selected differential measurement signal that is indicative of a rotational speed of an object. The sensor circuit is configured to generate a plurality of differential measurement signals, one for each of the plurality of pairs of sensor elements, where each of the plurality of differential measurement signals is derived from sensor signals generated by a corresponding pair of sensor elements. The sensor circuit is further configured to select a differential measurement signal having a greatest magnitude from among the plurality of differential measurement signals as the selected differential measurement signal.

A magnetic sensor includes a plurality of pairs of sensor elements, with each pair of sensor elements including two sensor elements that are oppositely disposed on a circumference of a circle arranged in a sensor plane of the magnetic sensor; and a sensor circuit configured to generate a first pulsed output signal based on a selected differential measurement signal that is indicative of a rotational speed of an object. The sensor circuit is configured to generate a plurality of differential measurement signals, one for each of the plurality of pairs of sensor elements, where each of the plurality of differential measurement signals is derived from sensor signals generated by a corresponding pair of sensor elements. The sensor circuit is further configured to select a differential measurement signal having a greatest magnitude from among the plurality of differential measurement signals as the selected differential measurement signal.

A magnetic sensor includes a plurality of pairs of sensor elements, with each pair of sensor elements including two sensor elements that are oppositely disposed on a circumference of a circle arranged in a sensor plane of the magnetic sensor; and a sensor circuit configured to generate a first pulsed output signal based on a selected differential measurement signal that is indicative of a rotational speed of an object. The sensor circuit is configured to generate a plurality of differential measurement signals, one for each of the plurality of pairs of sensor elements, where each of the plurality of differential measurement signals is derived from sensor signals generated by a corresponding pair of sensor elements. The sensor circuit is further configured to select a differential measurement signal having a greatest magnitude from among the plurality of differential measurement signals as the selected differential measurement signal.