Patent classifications
G07C5/10
Wireless communication devices
A wireless communication device for collecting vehicle on-board diagnostics (OBD) data is disclosed, together with associated methods of handling OBD data in such wireless communication devices. The device comprises a connector for connecting the device to an OBD port of a vehicle to receive OBD data; a processor configured to continually aggregate the OBD data and/or acceleration data from an acceleration sensor into risk profile data during a journey made by the vehicle; a memory for storing the latest risk profile data for the journey; and a wireless transceiver for transmitting the stored risk profile data to an external mobile device during the journey. The processor is further configured to determine an engine state of the vehicle and to detect when the vehicle begins and ends a journey based on said determined engine state and OBD data relating to vehicle speed and/or engine revolutions, and to cause the stored risk profile data to be deleted from the memory upon detection that the vehicle has begun a new journey.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM
An information processing device includes a reception unit configured to receive vehicle information about a vehicle equipped with a secondary battery and secondary battery information about the secondary battery transmitted from the vehicle, an analysis unit configured to generate analysis information by analyzing a relationship between the vehicle information and each type of the secondary battery information, and a provision unit configured to provide provision information based on the analysis information.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM
An information processing device includes a reception unit configured to receive vehicle information about a vehicle equipped with a secondary battery and secondary battery information about the secondary battery transmitted from the vehicle, an analysis unit configured to generate analysis information by analyzing a relationship between the vehicle information and each type of the secondary battery information, and a provision unit configured to provide provision information based on the analysis information.
TESTING METHOD AND APPARATUS FOR VEHICLE PERCEPTION SYSTEM, DEVICE, AND STORAGE MEDIUM
The present application discloses a testing method and apparatus for a vehicle perception system, a device and a storage medium, and relates to data processing and, in particular to the field of artificial intelligence such as automatic driving, intelligent transportation, etc. A specific implementation scheme lies in: acquiring an actual speed and a perceptual speed of a test object, where the perceptual speed of the test object is a speed of the test object perceived by the vehicle perception system; determining, according to the actual speed of the test object and the perceptual speed of the test object, speed reporting delay time of the vehicle perception system, where the speed reporting delay time is used to reflect sensitivity of the vehicle perception system to perceive a speed of an obstacle.
TESTING METHOD AND APPARATUS FOR VEHICLE PERCEPTION SYSTEM, DEVICE, AND STORAGE MEDIUM
The present application discloses a testing method and apparatus for a vehicle perception system, a device and a storage medium, and relates to data processing and, in particular to the field of artificial intelligence such as automatic driving, intelligent transportation, etc. A specific implementation scheme lies in: acquiring an actual speed and a perceptual speed of a test object, where the perceptual speed of the test object is a speed of the test object perceived by the vehicle perception system; determining, according to the actual speed of the test object and the perceptual speed of the test object, speed reporting delay time of the vehicle perception system, where the speed reporting delay time is used to reflect sensitivity of the vehicle perception system to perceive a speed of an obstacle.
High phone BLE or CPU burden detection and notification
Method and apparatus are disclosed for monitoring of communication for vehicle remote motive control. An example vehicle includes an autonomy unit for remote motive control, a communication module, and a controller. The controller is to send a diagnostic signal to and receive a return signal from a mobile device via the communication module, determine a time period between sending of the diagnostic signal and receipt of the return signal, and prevent the autonomy unit from causing vehicle movement responsive to determining the time period is greater than a threshold.
High phone BLE or CPU burden detection and notification
Method and apparatus are disclosed for monitoring of communication for vehicle remote motive control. An example vehicle includes an autonomy unit for remote motive control, a communication module, and a controller. The controller is to send a diagnostic signal to and receive a return signal from a mobile device via the communication module, determine a time period between sending of the diagnostic signal and receipt of the return signal, and prevent the autonomy unit from causing vehicle movement responsive to determining the time period is greater than a threshold.
Methods and systems for performing maintenance on an aircraft
An example method of performing maintenance on an aircraft includes receiving a vehicle data-signature-map of an interior of an aircraft for at least one parameter of the aircraft, and the vehicle data-signature-map is based on sensor outputs received from sensors of mobile devices positioned at locations in the interior of the aircraft. The method also includes comparing the vehicle data-signature-map with a previous vehicle data-signature-map, based on differences of the vehicle data-signature-map as compared to the previous vehicle data-signature-map making a determination for maintenance, and generating and outputting a recommendation for inspection of an identified portion of the aircraft based on the distribution of the at least one parameter in the vehicle data-signature-map for the identified portion of the aircraft being substantially different than the distribution of the at least one parameter in the vehicle data-signature-map for other portions of the aircraft to assist with the maintenance of the aircraft.
Methods and systems for performing maintenance on an aircraft
An example method of performing maintenance on an aircraft includes receiving a vehicle data-signature-map of an interior of an aircraft for at least one parameter of the aircraft, and the vehicle data-signature-map is based on sensor outputs received from sensors of mobile devices positioned at locations in the interior of the aircraft. The method also includes comparing the vehicle data-signature-map with a previous vehicle data-signature-map, based on differences of the vehicle data-signature-map as compared to the previous vehicle data-signature-map making a determination for maintenance, and generating and outputting a recommendation for inspection of an identified portion of the aircraft based on the distribution of the at least one parameter in the vehicle data-signature-map for the identified portion of the aircraft being substantially different than the distribution of the at least one parameter in the vehicle data-signature-map for other portions of the aircraft to assist with the maintenance of the aircraft.
Method and system for providing artificial intelligence analytic (AIA) services using operator fingerprints and cloud data
One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved. In one aspect, the process is capable of generating a driving analysis report which predicts potential risks associated with the driver according to the current and historical fingerprints.