A load driving device includes a synchronous rectifier circuit having a driving-side switching element and a reflux-side switching element; a driver control circuit controls the synchronous rectifier circuit; and a voltage monitor circuit that monitors whether the voltage of an output terminal of the synchronous rectifier circuit is within a predetermined voltage range; where the driver control circuit, upon receiving a diagnosis command, performs control so that when the driving-side switching element is switched from ON to OFF, the reflux-Side switching element is also switched to OFF; and the voltage monitor circuit detects a normal state when the voltage to be monitored is within a normal level during a period in which both the driving-side switching element and the reflux-side switching element are turned OFF.

System, methods, and other embodiments described herein relate to improving the prediction efficiency of autonomous/semi-autonomous vehicles. In one embodiment, the system generates a provisional prediction according to sensor data from at least one sensor of a subject vehicle. The prediction can be associated with an aspect relating to operating the subject vehicle along a path. The system analyzes the provisional prediction in relation to a subsequent prediction about the aspect to determine a correspondence between the provisional prediction and the subsequent prediction. In response to determining that the correspondence satisfies an inaccuracy threshold, the system can store the provisional prediction and the sensor data associated with the provisional prediction to log potential inaccuracies in generating predictions based, at least in part, on the sensor data.

A fuel cell system installed in a vehicle includes: a fuel cell; a secondary battery; a load including a drive motor and an air compressor; a fuel cell converter; a secondary battery converter; a failure detection unit; a first state determination unit; a reverse rotation detection unit; and a control unit. The control unit performs a limp-home traveling control that supplies electric power from the secondary battery to the drive motor when the secondary battery converter fails. When the vehicle is not in the first state, the control unit prohibits regeneration of the drive motor. When the vehicle is in the first state, the control unit supplies a reaction current to the air compressor. When the reaction current is applied and a reverse rotation of the air compressor is detected, the control unit does not apply the reaction current thereafter.

The vehicle assistance system includes an infrastructure sensor installed in a predetermined place to detect an obstacle, an onboard apparatus connected to an onboard sensor which is mounted on the vehicle and which detects an obstacle, and a server installed in a place different from that of the infrastructure sensor. In the infrastructure sensor, the abnormality determination unit compares the first obstacle information related to the obstacle detected by the sensor unit and the second obstacle information related to the obstacle detected by the onboard sensor existing in a location different from that of the sensor unit, and determines whether or not the sensor unit or the onboard sensor is abnormal based on the result of this comparison.

A method of moving an autonomous vehicle to a safe zone after an accident is provided. The method includes: setting a threshold which is a criterion for determining a failure of a chassis system; determining whether a failure occurs by using the threshold; determining a control mode of twin clutches or a braking system; designating avoidance speed level in accordance with whether a following vehicle approaches; and setting a target trajectory to a safe zone and then generating braking torque on left and right wheels or controlling distribution of driving torque through the twin clutches in order to move the autonomous vehicle at the avoidance speed along the target trajectory.

A vehicle control system executes automated driving control that controls automated driving of a vehicle based on driving environment information indicating a driving environment for the vehicle. When a part of functions of the vehicle is failed during the automated driving, the vehicle control system executes emergency stop control that stops the vehicle. In the emergency stop control, the vehicle control system: acquires failure status information being information on the failed part of functions; determines, based on the failure status information and the driving environment information, a target stop position at which even the vehicle with the failed part of functions is able to arrive and stop by the automated driving; and executes the automated driving control such that the vehicle travels toward the target stop position to stop at the target stop position.

A method includes an initial trailer health assessment and real-time trailer health monitoring. The initial trailer health assessment includes autonomous pre-trip maneuvers of the autonomous vehicle during a first time period, and detecting a pre-trip vehicle health condition. A vehicle health score is calculated based on the pre-trip vehicle health condition. If the vehicle health score is at least a threshold value, real-time trailer health monitoring is performed during a trip of the autonomous vehicle during a second time period, by actively monitoring vehicle dynamics data and/or image data associated with the autonomous vehicle, to determine a fault condition of the autonomous vehicle. If the fault condition meets a first criteria, a control parameter and/or a travel plan of the autonomous vehicle is adjusted. If the fault condition meets a second criteria different from the first criteria, a signal is sent to cause the autonomous vehicle to cease movement.

Disclosed embodiments relate to identifying Electronic Control Unit (ECU) anomalies in a vehicle. Operations may include monitoring, in the vehicle, data representing real-time processing activity of the ECU; accessing, in the vehicle, historical data relating to processing activity of the ECU, the historical data representing expected processing activity of the ECU; comparing, in the vehicle, the real-time processing activity data with the historical data, to identify at least one anomaly in the real-time processing activity of the ECU; and implementing a control action for the ECU when the at least one anomaly is identified.

Disclosed embodiments relate to identifying Electronic Control Unit (ECU) anomalies in a vehicle. Operations may include monitoring, in the vehicle, data representing real-time processing activity of the ECU; accessing, in the vehicle, historical data relating to processing activity of the ECU, the historical data representing expected processing activity of the ECU; comparing, in the vehicle, the real-time processing activity data with the historical data, to identify at least one anomaly in the real-time processing activity of the ECU; and implementing a control action for the ECU when the at least one anomaly is identified.

A method for the satellite-based localization of a vehicle in a map-based reference system. A trajectory in a map-based reference system is determined at regular time intervals, on which trajectory the vehicle is to be brought to a stop at least partially automatically in a defined emergency, and are stored in a circular buffer. In the defined emergency and in the event of failure of the at least one camera used for the full localization, an emergency trajectory is selected from the trajectories stored in the circular buffer. An initial vehicle position in the map-based reference system is determined based on the emergency trajectory. A vehicle orientation is ascertained based on a continuously acquired yaw rate of the vehicle. The stretch of route traveled by the vehicle is ascertained based on position data of the vehicle that are acquired in a satellite-based manner.