The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.

Systems and methods are disclosed for checker cores for fault tolerant processing. For example, an integrated circuit (e.g., a processor) for executing instructions includes a processor core configured to execute instructions of an instruction set; an outer memory system configured to store instructions and data; and a checker core configured to receive committed instruction packets from the processor core and check the committed instruction packets for errors, wherein the checker core is configured to utilize a memory pathway of the processor core to access the outer memory system by receiving instructions and data read from the outer memory system as portions of committed instruction packets from the processor core. For example, data flow from the processor core to the checker core may be limited to committed instruction packets received via dedicated a wire bundle.

Provided is an autonomous driving assistance system for vehicles that has redundancy without posing any problem in diversity. The autonomous driving assistance system includes: a sensor configured to acquire surroundings information; a downstream device including an actuator configured to control a vehicle; and a driving assistance device configured to calculate a control amount for the downstream device on the basis of the surroundings information. The downstream device further includes a diagnosis unit configured to: perform comparison between at least two control amounts that include the control amount calculated in the driving assistance device and a control amount calculated in the downstream device on the basis of the surroundings information; and determine, if the control amounts are equal to each other, that the control amounts are normal, and determine, if the control amounts are different from each other, that the control amounts are abnormal.

A device for controlling an automated driving operation of a vehicle may have at least two brake systems, at least two steering systems, an engine controller, a first automated drive controller, a second automated drive controller, a surroundings sensor assembly, and inertial sensors. A third automated drive controller at least controls the vehicle into a standstill. The device is configured such that the automated driving operation is initiated and/or maintained only when the brake systems, steering systems, and at least two of the automated drive controllers are functional and such that the automated driving operation is interrupted if only one of the automated drive controllers is functional and/or if one of the brake systems and/or steering systems is not functional and/or if the engine controller is not functional, in which case the still functional automated drive controller assumes control of the vehicle and guides the vehicle into a standstill.

A method, computer program product, and computing system for operating an autonomous vehicle; monitoring the operation of a plurality of computing devices within the autonomous vehicle; and in response to detecting the failure of one or more of the plurality of computing devices, switching the autonomous vehicle from a nominal autonomous operational mode to a degraded autonomous operational mode.

A noise estimation method includes decomposing a first matrix in which values of elements are represented by binary values into a coefficient matrix and a basic matrix, and estimating an element including noise among elements of the first matrix based on a result of comparison between a second matrix obtained by combining the coefficient matrix with the basic matrix and the first matrix.

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.

An apparatus comprises a plurality of redundant processing units to perform data processing redundantly in lockstep; common mode fault detection circuitry to detect an event indicative of a potential common mode fault affecting each of the plurality of redundant processing units; a memory shared between the plurality of redundant processing units; and memory checking circuitry to perform a memory scanning operation to scan at least part of the memory for errors; in which the memory checking circuitry performs the memory scanning operation in response to a common mode fault signal generated by the common mode fault detection circuitry indicating that the event indicative of a potential common mode fault has been detected.

Methods are provided for supervising a motor control unit with at least two separate channels, each of the two channels including at least: means for executing a given application task AS, the application task AS including a plurality of successively executed computations between which latency periods elapse; a first component capable of performing the computations; a second component capable of storing data; the application tasks AS of the channels being capable of communicating. The method comprising includes the following steps: a) detecting a latency period; b) performing, during this latency period, an operating state test of at least one of the components; and c) determining a state of the component corresponding to a failure state or a healthy state.

A method is provided for a hyper-converged storage-compute system to implement an active-active failover architecture for providing Internet Small Computer System Interface (iSCSI) target service. The method intelligently selects multiple hosts to become storage nodes that process iSCSI input/output (I/O) for a target. The method further enables iSCSI persistent reservation (PR) to handle iSCSI I/Os from multiple initiators.