The present disclosure relates to a distributed diagnostics architecture for a vehicle. The diagnostics architecture comprises a plurality of application functions hosted on a central compute platform (CCP) of the vehicle, a plurality of remote input/output concentrator modules (RIOs) provided at different locations within the vehicle, and a vehicle diagnostics manager (VDM). The application functions are configured to control vehicle functions. The application functions are further configured to run diagnostic fault monitors pertaining to strategic or system-level faults for their associated vehicle functions, and to transmit strategic fault data related to their associated vehicle functions to the VDM. The RIO are connected to I/O devices of the vehicle. The RIOs are configured to run diagnostic fault monitors pertaining to physical or component-level faults for their associated I/O devices, and to transmit physical fault data related to their associated I/O devices to the VDM. The VDM is configured to aggregate the received strategic and physical fault data, and to maintain a central fault record of strategic and physical faults.

The invention relates to a method for testing a motor vehicle, said motor vehicle comprising an assembly having a rolling chassis and a body provided on the rolling chassis, the rolling chassis comprising multiple first interfaces and the body comprising multiple second interfaces allocated to the first interfaces, so that each pair of first and second interfaces can form a respective connection between the rolling chassis and the body, when the body is assembled on the rolling chassis. The method comprises, for example, a check as to whether all connections are correctly attached. The method comprises, for example, a check as to whether all components of the motor vehicle are responsive. The method also comprises, for example, a check as to whether the body may be used with the rolling chassis. The invention further relates to a device, a computer program, a machine-readable storage medium, a rolling chassis, a body and a motor vehicle.

In a number of illustrative variations, a method may include providing a first motion control algorithm and a second motion control algorithm, the first motion control algorithm and a second motion control algorithm being constructed and arranged to provide motion control requests. The method may further include determining if the first motion control algorithms motion control requests are within a plausible range and performing a switchover from the first motion control algorithm to the second motion control algorithm if necessary.

Methods and systems are provided for operating a vehicle that includes a piezoelectric device. The piezoelectric device may harvest energy that may be transferred between two masses, such as a chassis and a vehicle suspension, to power electrical components of a vehicle. In addition, output of the piezoelectric device may be monitored to identify degradation of electrical connectors.

A method for on-board diagnosis in a vehicle includes a) determining whether one or more release conditions for starting an on-board diagnosis are met; b) when it is determined that at least one release condition of the one or more release conditions is not met, controlling at least one driving function in such a manner that at least one release condition is met; and c) starting the on-board diagnosis.

System, apparatus, device and methods relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

A method to a computer program containing instructions and to a module for monitoring a component of a control system for a transport. In a first step, a function call is sent to the component to execute a function used by the component using defined input data. Then a response from the component to the function call is received. The response is subsequently compared with an expected response. Finally, an action is performed in response to a result of the comparison.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect control data indicating behavior of a vehicle controlled by a control program, collect virtual control data indicating behaviour of a virtual vehicle controlled by a virtual control program, and determine a difference between the control data and the virtual control data.

The invention discloses a method and a system for calibrating a driving risk identification model. The calibration method comprises: S1. establishing a vehicle platform by installing an information acquisition device on a test vehicle; S2. acquiring synchronized test data related to the test vehicle and driving scenarios; S3. extracting moments when the drivers start to press the accelerator pedal, start to release the accelerator pedal, start to press the brake pedal in the driving scenarios, and start to release the brake pedal, so as to define risk level values respectively corresponding to the moments; S4. obtaining a risk identification curve of the drivers in different driving scenarios, wherein the risk identification curve represents the drivers' judgment of the risk level over time; S5. using the risk identification curve to calibrate the driving risk identification model. The invention identifies the risk identification curve of the driver in different scenarios by recording the driver's operation on the vehicle platform, and then uses the risk identification curve curve to calibrate the driving risk identification model. So the calibrated driving risk identification model can adapt to the driving habits of different drivers and is conducive to improving the acceptance of the driving risk identification system.

The disclosure includes embodiments for vehicular cooperative perception for identifying a subset of connected vehicles from a plurality to aid a pedestrian. In some embodiments, a method includes analyzing pedestrian data to determine a scenario depicted by the pedestrian data and a subset of the connected vehicles from the plurality that have a clearest line of the pedestrian. The method includes identifying a group of conflicted vehicles from the subset whose driving paths conflict with a walking path of the pedestrian. The method includes determining, based on the scenario, digital twin data describing a digital twin simulation that corresponds to the scenario. The method includes determining, based on the digital twin data and the pedestrian data, a group of modified driving paths for the group of conflicted vehicles. The method includes causing the group of conflicted vehicles to travel in accordance with the group of modified driving paths.