A system that measures a swing of equipment (such as a bat or golf club) with inertial sensors, and analyzes sensor data to create a rotational profile. Swing analysis may use a two-lever model, with a body lever from the center of rotation to the hands, and an equipment lever from the hands to the sweet spot of the equipment. The rotational profile may include graphs of rates of change of the angle of the body lever and of the relative angle between the body lever and the equipment lever, and a graph of the centripetal acceleration of the equipment. These three graphs may provide insight into players' relative performance. The timing and sequencing of swing stages may be analyzed by partitioning the swing into four phases: load, accelerate, peak, and transfer. Swing metrics may be calculated from the centripetal acceleration curve and the equipment/body rotation rate curves.

FAST provides a method of “bootstrapping” a pseudo-range (PR) stage and one or more carrier-phase (CP) stages to quickly produce a highly accurate, high integrity receiver-to-receiver lever arm survey based on differential GNSS processing. The lever arm estimates of a previous stage are used to resolve the carrier phase ambiguities of the next stage. The method can be integrated with the warm-up of the integrity monitors to reduce the entire survey and warm-up startup time to 90 minutes or less, which is critical for mobile and make shift and precision approach and (automated) landing operations.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

Embodiments of the present invention are an inertial measurement module, includes a mount, a circuit board, an inertial measurement assembly, a thermally conductive member and a counterweight assembly. The circuit board is mounted to a surface of the mount. The inertial measurement assembly includes a thermal resistor and an inertial measurement unit. The thermally conductive member is configured to abut against the thermal resistor and the inertial measurement unit. The counterweight assembly is mounted to the surface of the mount. A first groove is arranged on an end surface of the counterweight assembly facing the mount. A receiving space is formed by the first groove and the end surface of the mount. The thermally conductive member and the inertial measurement assembly are both received in the receiving space. The thermally conductive member is arranged at a preset distance from a bottom of the first groove.

Embodiments of the present invention are an inertial measurement module, includes a mount, a circuit board, an inertial measurement assembly, a thermally conductive member and a counterweight assembly. The circuit board is mounted to a surface of the mount. The inertial measurement assembly includes a thermal resistor and an inertial measurement unit. The thermally conductive member is configured to abut against the thermal resistor and the inertial measurement unit. The counterweight assembly is mounted to the surface of the mount. A first groove is arranged on an end surface of the counterweight assembly facing the mount. A receiving space is formed by the first groove and the end surface of the mount. The thermally conductive member and the inertial measurement assembly are both received in the receiving space. The thermally conductive member is arranged at a preset distance from a bottom of the first groove.

A map establishment method and a map establishment system are provided. The map establishment method includes: detecting a physical motion performed by a user and generating motion sensing data by at least one motion sensor; obtaining spatial dimension information, in multiple directions, of a target place where the user is located and information of an obstacle in the target place by a deep learning model according to the motion sensing data; and generating map data according to the spatial dimension information and the information of the obstacle, wherein the map data reflects a contour of the target place where the user is located and a distribution status of at least one obstacle in the target place.

In one embodiment, a method is provided. The method comprises determining a first value of a coefficient of an edge-determining algorithm in response to a spatial resolution of a first image acquired with an image capture device onboard a vehicle, a spatial resolution of a second image, and a second value of the coefficient in response to which the edge-determining algorithm generated a second edge map corresponding to the second image. The method further comprises determining, with the edge-determining algorithm in response to the coefficient having the first value, at least one edge of at least one object in the first image. The method further comprises generating, in response to the determined at least one edge, a first edge map corresponding to the first image. The method further comprises determining at least one navigation parameter of the vehicle in response to the first and second edge maps.

Disclosed is an improved Sagnac interferometer sensor for inertial navigation and guidance systems (e.g., inertial measurement units (IMUs)) that affords a reduced area architecture. The sensor implements optical folding architectures and techniques to increase the optical path length of the Sagnac interferometer. The folding optical architecture increases the total optical path, which thereby increases the total phase difference between two counter-rotating optical beams in the Sagnac interferometer. The technique increases accuracy and durability of IMUs without the need for an increase in size, weight, and cost.

Disclosed is an improved Sagnac interferometer sensor for inertial navigation and guidance systems (e.g., inertial measurement units (IMUs)) that affords a reduced area architecture. The sensor implements optical folding architectures and techniques to increase the optical path length of the Sagnac interferometer. The folding optical architecture increases the total optical path, which thereby increases the total phase difference between two counter-rotating optical beams in the Sagnac interferometer. The technique increases accuracy and durability of IMUs without the need for an increase in size, weight, and cost.