The present disclosure provides a connection method, an electronic device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the technical fields of internet of vehicles and intelligent transportation. The method includes: when it is determined that a connection between a terminal and a vehicle fails, obtaining identification information of the vehicle and log information of the terminal; sending the identification information and the log information to a server, and receiving at least one connection solution that is issued by the server and matches the identification information and the log information; and controlling, according to the at least one connection solution, the terminal to connect with the vehicle.

A history management method for managing history information of multiple vehicles using blockchains is provided. The history management method includes generating a master block from history information collected in a vehicle, setting a node serving as a storage destination of a backup block of the master block per block, storing, together with the master block, backup blocks that are different in history information collecting vehicle from the master block in a block storage unit, and sending the backup block for a particular vehicle requested in a recovery request.

A graphics processing system for performing tile-based rendering of a scene that includes safety-related primitives has a plurality of graphics processing units (GPUs), each configured to i) receive tile data identifying one or more protected tiles comprising at least part of a safety-related primitive, ii) process two respective sets of protected tiles, and iii) based on said processing, generate two respective checksums for each respective set of protected tiles. The two respective sets of protected tiles are mutually exclusive, and each respective set and each protected tile being processed by two different GPUs. The system includes a comparison unit configured to compare one or more pairs of checksums, each pair comprising a respective checksum generated based on a same respective set of protected tiles and generated by different GPUs.

A distributed system includes an edge device which is at least one of an automatically operable moving body and equipment, and a diagnostic data computer, in which the edge device converts state data representing a state of a component that is a constituent of a replaceable unit forming the edge device, into diagnostic data according to a predetermined diagnostic algorithm, and the diagnostic data computer acquires the diagnostic data from a first edge device, and specifies a second edge device that employs a component related to the component employed in he first edge device.

Techniques are disclosed herein for reconfiguring reprogrammable hardware in an autonomous vehicle system. According to an embodiment, an autonomous driving system includes sensors and a configurable circuit having physical logic units. The autonomous driving system aggregates data observed from each of the sensors. The autonomous driving system detects a trigger indicative of a defect in the configurable circuit. The defect is identified as a function of the aggregated data. The autonomous driving system performs, in response to the trigger, a reconfiguration action on the configurable circuit to repair the defect.

A vehicle includes a controller area network (CAN) and a plurality of a controllers in communication with each other via the CAN, wherein each controller of the plurality of controllers is configured to time-stamp messages transmitted via the CAN using a vehicle-wide synchronized clock, determine a worst-case transmission delay via the CAN based on the time-stamps for messages received from other controllers of the plurality of controllers, and based on the worse-case transmission delay, set a dynamic recovery timer for a malfunctioning controller of the plurality of controllers to recover after its malfunction, wherein the dynamic recovery timer prevents a particular controller that was malfunctioning but has since recovered from being incorrectly designated as a malfunctioning controller in need of service.

A method for testing, in situ and in operation, a reset device for resetting a computer, including an execution sequence and a verification sequence, the execution sequence being executed during the running of the piece of software and including the following steps: incrementing a test counter, storing the test counter in a non-volatile memory, triggering a reset of the computer, the verification sequence being executed when starting the piece of software and including the following steps: reading the test counter from the non-volatile memory, comparing the test counter: if it is equal to its initial value increased by 1, resetting the test counter, and the test result is positive; and if it is greater than its initial value increased by 1, the test result is negative.

An information processing device and information processing method with improved error tolerance are implemented. There is included a data processing unit that executes lockstep processing in which a plurality of processing systems executes the same task and error verification is performed by comparing execution results. In a case where an error is detected in the lockstep processing, the data processing unit increases supply voltage to a CPU circuit system that executes the task, processing of lowering a supply clock, or the like, as control for improving noise tolerance of the CPU circuit system, and moreover, performs re-execution processing of the task by using more processing systems than the processing systems before the error detection.

There is disclosed herein examples of systems and procedures for performing software updates for vehicles. The vehicles may be scheduled for the software updates based on information related to the vehicles. Update systems may determine when the vehicles have entered service ranges of the update systems for the scheduled software updates and may initiate the software updates in response to determining that the vehicles have entered the service ranges. Progress of the software updates may be monitored and displayed on a dashboard system overseeing the software updates of the vehicles.

Systems and methods for detecting an anomaly in a power semiconductor device are disclosed. A system includes a server computing device and one or more local components communicatively coupled to the server computing device. Each local component includes sensors positioned adjacent to the power semiconductor device for sensing properties thereof. Each local component receives data corresponding to one or more sensed properties of the power semiconductor device from the sensors and transmits the data to the server computing device. The server computing device utilizes the data, via a machine learning algorithm, to generate a set of eigenvalues and associated eigenvectors and select a selected set of eigenvalues and associated eigenvectors. Each local component conducts a statistical analysis of the selected set of eigenvalues and associated eigenvectors to determine that the data is indicative of the anomaly.