A system combines contributions from various sensors to obtain an object's position, velocity, or orientation.

A system combines contributions from various sensors to obtain an object's position, velocity, or orientation.

The present disclosure is directed to a device configured to detect whether the device is in a bag or being taken out of the bag. The device determines whether the device is in a bag or being taken out of the bag based on motion measurements generated by a motion sensor and electrostatic charge measurements generated by an electrostatic charge sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or being taken out of the bag with high efficiency, accuracy, and robustness.

The present disclosure is directed to a device configured to detect whether the device is in a bag or being taken out of the bag. The device determines whether the device is in a bag or being taken out of the bag based on motion measurements generated by a motion sensor and electrostatic charge measurements generated by an electrostatic charge sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or being taken out of the bag with high efficiency, accuracy, and robustness.

The various systems and methods disclosed herein provide for a secure, cost effective, and high accuracy location detection. In some embodiments of the system and method for high accuracy location detection, a mobile location device obtains and calculates location data from a plurality of sources without requiring expensive and power inefficient processors. In some embodiments, such secure, cost effective, and high accuracy location detection by the mobile location device is used in improved parking and payment management systems and methods. In some such embodiments, the location device communicates with remote geomapping servers and payment systems to provide automated parking and payment.

The various systems and methods disclosed herein provide for a secure, cost effective, and high accuracy location detection. In some embodiments of the system and method for high accuracy location detection, a mobile location device obtains and calculates location data from a plurality of sources without requiring expensive and power inefficient processors. In some embodiments, such secure, cost effective, and high accuracy location detection by the mobile location device is used in improved parking and payment management systems and methods. In some such embodiments, the location device communicates with remote geomapping servers and payment systems to provide automated parking and payment.

A wireless sensor for an associated machine or machine part which includes a communications module that wirelessly transmits data related to the associated machine or machine part. The communications module is mounted on the sensor and the sensor is disposed under the bottom side of the control circuitry. A sensor is configured to measure one or more properties of the associated machine or machine part. The wireless sensor can be used with a smart device app such that information from the wireless sensor can be received and displayed on the smart device.

A wireless sensor for an associated machine or machine part which includes a communications module that wirelessly transmits data related to the associated machine or machine part. The communications module is mounted on the sensor and the sensor is disposed under the bottom side of the control circuitry. A sensor is configured to measure one or more properties of the associated machine or machine part. The wireless sensor can be used with a smart device app such that information from the wireless sensor can be received and displayed on the smart device.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.