Patent classifications
G01M17/00
Shock Gauge System
One example is a shock gauge system for measuring an external blast to a hull. The shock gauge system includes at least one accelerometer to produce acceleration data in response to the external blast, a mass with an accelerometer affixed to it, a crush block, a linear displacement potentiometer (LDP), a camera, and a processor logic. The LDP device generates displacement data of a mass being pushed into the crush block when reacting to the external blast. The camera captures images of movement of the mass. The processor logic verifies if the acceleration data is valid by correlating the acceleration data to the displacement data, the images, and/or an amount of displacement into the crush block by the mass. When the acceleration data is valid, the acceleration data may be used to create a more blast resistant hull.
LOAD MOMENT INDICATOR SYSTEM AND METHOD
A method for determining stability of a vehicle having a load suspended from the vehicle is provided. The method can include obtaining measurements from a plurality of sensors positioned on the vehicle, obtaining a measurement from a vehicle accelerometer operative to determine an inclination of the vehicle, determining a position of the load suspended from the vehicle, determining a slung load of the load suspended from the vehicle, using the determined slung load and the determined position of the load suspended from the vehicle, determining tipping moments acting on the vehicle, determining righting moments acting on the vehicle and determining a tipping stability based on the determined tipping moments and determined righting moments.
LOAD MOMENT INDICATOR SYSTEM AND METHOD
A method for determining stability of a vehicle having a load suspended from the vehicle is provided. The method can include obtaining measurements from a plurality of sensors positioned on the vehicle, obtaining a measurement from a vehicle accelerometer operative to determine an inclination of the vehicle, determining a position of the load suspended from the vehicle, determining a slung load of the load suspended from the vehicle, using the determined slung load and the determined position of the load suspended from the vehicle, determining tipping moments acting on the vehicle, determining righting moments acting on the vehicle and determining a tipping stability based on the determined tipping moments and determined righting moments.
Remote automotive diagnostics
Method and apparatus for remote diagnostics of automobiles are disclosed. In one embodiment, a method may include the steps of reading, by a mobile device, a vehicle identification number (VIN) from a vehicle, transmitting, by the mobile device, the VIN to a diagnostic database, receiving, by the mobile device, an indication that an original equipment manufacturer (OEM) diagnostic tool is required for a diagnosis of the vehicle, and selecting the OEM diagnostic tool for the diagnosis of the vehicle in response to the indication that an OEM diagnostic tool is required for the diagnosis of the vehicle.
Method and system for vehicle ESC system using map data
An Electronic Stability Control (ESC) system for a vehicle is disclosed. An electronic control unit (ECU) is programmed to reduce vehicle lateral skidding by reducing differences between an intended vehicle direction and/or yaw rate and an actual vehicle direction and/or yaw rate by applying modifications to operation of the vehicle brakes and/or throttle. The ESC system receives inputs from wheel speed sensors, a steering wheel position sensor, a yaw rate sensor and a lateral acceleration sensor. The ESC system also receives input that indicates at least a property of the road upon which the vehicle is located, wherein the road upon which the vehicle is located is determined from a positioning system that uses a map database and the property is determined from the map database. The ESC system incorporates the road property information in determining when and/or how to modify operation of the vehicle to reduce vehicle skidding.
RADAR TARGET EMULATOR, TEST BENCH AND METHOD FOR SIGNAL PROCESSING
The present invention relates to a radar target emulator, a test bench having such a radar target emulator, and a method for digitally processing at least one analog radar signal. The radar target emulator comprises a first conversion apparatus configured to convert the at least one analog radar signal into at least one corresponding digital radar data packet. A data processing apparatus of the radar target emulator comprises a time delay device and a modification device, wherein the time delay device is configured to provide a plurality of delayed radar data packets on the basis of the at least one digital radar data packet. The modification device is configured to provide a plurality of modified radar data packets on the basis of the plurality of delayed radar data packets, and a second conversion apparatus is configured to provide analog processed radar signals by converting the digital radar data packets processed by the data processing apparatus. A transmission apparatus comprises at least two transmitter devices which are in particular configured to transmit the analog processed radar signals provided by the second conversion apparatus.
RADAR TARGET EMULATOR, TEST BENCH AND METHOD FOR SIGNAL PROCESSING
The present invention relates to a radar target emulator, a test bench having such a radar target emulator, and a method for digitally processing at least one analog radar signal. The radar target emulator comprises a first conversion apparatus configured to convert the at least one analog radar signal into at least one corresponding digital radar data packet. A data processing apparatus of the radar target emulator comprises a time delay device and a modification device, wherein the time delay device is configured to provide a plurality of delayed radar data packets on the basis of the at least one digital radar data packet. The modification device is configured to provide a plurality of modified radar data packets on the basis of the plurality of delayed radar data packets, and a second conversion apparatus is configured to provide analog processed radar signals by converting the digital radar data packets processed by the data processing apparatus. A transmission apparatus comprises at least two transmitter devices which are in particular configured to transmit the analog processed radar signals provided by the second conversion apparatus.
HOVER FLIGHT TEST SYSTEM FOR AIRCRAFT
Test systems and methods for testing hover flight of an Unmanned Aerial Vehicle (UAV). In one embodiment, a test system includes a winch having a cable, and a mounting tree assembly configured to attach to the cable of the winch and to attach to the UAV. The winch is configured to restrain an altitude of the UAV during hover flight while the mounting tree assembly permits five degrees of freedom for the UAV.
HOVER FLIGHT TEST SYSTEM FOR AIRCRAFT
Test systems and methods for testing hover flight of an Unmanned Aerial Vehicle (UAV). In one embodiment, a test system includes a winch having a cable, and a mounting tree assembly configured to attach to the cable of the winch and to attach to the UAV. The winch is configured to restrain an altitude of the UAV during hover flight while the mounting tree assembly permits five degrees of freedom for the UAV.
METHOD AND SYSTEM FOR CALIBRATING AN ADAS/ADS SYSTEM OF VEHICLES IN A VEHICLE POOL
A method is provided for validation and/or calibration of an advanced driver assistance system (ADAS) and/or an automated driving system (ADS) in which the ADAS/ADS can be executed in both a virtual environment and a real-world environment for a vehicle pool that has multiple vehicles. The method includes: inputting a vehicle model that is described by vehicle parameters; inputting test scenarios for which the ADAS/ADS is tested in the virtual environment (141) with the vehicle (143); inputting evaluation criteria (133) with which a performance (151) of the ADAS/ADS is evaluated in a test drive (102); virtual test driving for all vehicles of the vehicle pool; evaluating (111) all results to identify the vehicle having the worst result; selecting the real vehicle corresponding to the worst-case vehicle; and validating the ADAS/ADS by at least one real test drive with this vehicle.