Patent classifications
G01D1/10
Sensor information management systems and methods
This disclosure relates to systems and methods for management of information, including environmental information, obtained by a variety of sensors associated with one or more distributed mobile sensor platforms. In certain embodiments, the geographically transitory nature of a mobile sensor platform may be leveraged to facilitate collection of environmental information over a larger geographic area than that of a fixed sensor platform. Embodiments disclosed herein provide for information consistency and/or quality checking of information obtained by mobile sensor platforms. Further embodiments may be used to incentivize the collection and/or acquisition of certain data via point and/or credit based compensation.
DETECTING MOBILE DEVICE SENSOR MALFUNCTIONS
Disclosed in some examples are methods, systems, and machine readable mediums for assessing the accuracy of one or more local sensors on a mobile device (such as an AV). In some examples, the accuracy of a local sensor of a first AV may be assessed by periodically comparing sensor readings collected by the local sensor to sensor readings matching selection criteria that are collected by one or more remote sensors located at one or more other nearby AVs. A sensor that reports data that is signifimaytly different from that reported by neighboring AVs is likely to be malfunctioning. The use of nearby sensors in nearby AVs may provide for a method for ensuring the integrity of the AV sensor readings without adding redundant sensors.
DETECTING MOBILE DEVICE SENSOR MALFUNCTIONS
Disclosed in some examples are methods, systems, and machine readable mediums for assessing the accuracy of one or more local sensors on a mobile device (such as an AV). In some examples, the accuracy of a local sensor of a first AV may be assessed by periodically comparing sensor readings collected by the local sensor to sensor readings matching selection criteria that are collected by one or more remote sensors located at one or more other nearby AVs. A sensor that reports data that is signifimaytly different from that reported by neighboring AVs is likely to be malfunctioning. The use of nearby sensors in nearby AVs may provide for a method for ensuring the integrity of the AV sensor readings without adding redundant sensors.
METHOD AND DEVICE FOR PROCESSING A SIGNAL
The present invention relates to the signal processing of signals with the simultaneous conversion of the operating time grid. To this end, a signal is detected or provided in a first time grid. After the difference quotient is calculated in the first time grid, the difference quotient is output in a second time grid in which the signal, in particular the difference quotient, is further processed.
METHOD AND DEVICE FOR PROCESSING A SIGNAL
The present invention relates to the signal processing of signals with the simultaneous conversion of the operating time grid. To this end, a signal is detected or provided in a first time grid. After the difference quotient is calculated in the first time grid, the difference quotient is output in a second time grid in which the signal, in particular the difference quotient, is further processed.
Autonomous and non-autonomous dynamic model based navigation system for unmanned vehicles
A navigation system including a vehicle dynamic model (VDM) that serves as the main process model within a navigation filter is described. When used in an unmanned aerial vehicle (UAV), the navigation system may work in communication with inertial measurement units (IMUs) and environment dependent sensors such as GNSS receivers. Particularly, the navigation system is beneficial in the case of GNSS signal reception outages, where conventional IMU coasting drifts quickly. Yet, the navigation system may also be employed in other scenarios, for example during GNSS presence for improved positioning, velocity and attitude determination, or in combination with GNSS when no IMU is available by design or due to a failure. In the navigation system, a solution to VDM equations provides an estimate of position, velocity, and attitude, which can be updated within a navigation filter based on available observations, such as IMU data or GNSS measurements.
METHOD AND CIRCUIT FOR DETECTING AN OPEN LINE OF THE SINE/COSINE RECEIVER COIL OF A RESOLVER
A method for detecting an open line (10) of a receiver coil (17; 18) of a resolver (16) comprisesproviding a pull-up resistor (R.sub.1; R.sub.3) and a pull-down resistor (R.sub.2; R.sub.4) at the terminals (7a, 7b; 8a, 8b) on a control device (1) for the signal lines (13a, 13b; 14a, 14b) of the receiver coil (17; 18);measuring the voltage between the two signal line terminals (7a, 7b; 8a, 8b) of the receiver coil at two sampling times provided symmetrically at the middle of the excitation period;calculating an offset value by calculating an average value that comprises the measured values measured at the two sampling times in an excitation period; andidentifying an open line (10) if the offset value exceeds a threshold value.
METHOD AND CIRCUIT FOR DETECTING AN OPEN LINE OF THE SINE/COSINE RECEIVER COIL OF A RESOLVER
A method for detecting an open line (10) of a receiver coil (17; 18) of a resolver (16) comprisesproviding a pull-up resistor (R.sub.1; R.sub.3) and a pull-down resistor (R.sub.2; R.sub.4) at the terminals (7a, 7b; 8a, 8b) on a control device (1) for the signal lines (13a, 13b; 14a, 14b) of the receiver coil (17; 18);measuring the voltage between the two signal line terminals (7a, 7b; 8a, 8b) of the receiver coil at two sampling times provided symmetrically at the middle of the excitation period;calculating an offset value by calculating an average value that comprises the measured values measured at the two sampling times in an excitation period; andidentifying an open line (10) if the offset value exceeds a threshold value.
Autonomous unmanned aerial vehicle decision-making
A method and apparatus for autonomously managing operation of an unmanned aerial vehicle. Sensor data is received by a computer system located onboard the unmanned aerial vehicle. The sensor data is processed by the computer system to generate information of interest related to at least one target, while the unmanned aerial vehicle is out of a communications range of a control station. A number of actions to be performed is identified by the computer system based on the information of interest related to the at least one target, while the unmanned aerial vehicle is out of the communications range of the control station.
Control apparatus, non-transitory computer readable medium, aircraft, system, and operating method of system
A control apparatus includes a memory storing information on power consumption for flight of an aircraft flying by an electric rotor and a controller configured to instruct the aircraft to fly on a flight path passing through a power supply facility based on a remaining charge of the aircraft and the power consumption according to flight conditions when the aircraft flies to a destination.