Among other things, we describe techniques for an interface board for harmonizing performance of different autonomous vehicles in a fleet. In an embodiment, the interface system includes a printed circuit board installed in a host vehicle that includes an interface controller and interface circuitry coupled to the interface controller. The interface circuitry includes a plurality of relays configured by the interface controller to route/pass sensor signals received from actuators of the host vehicle to the interface controller, and route/pass control signals from the interface controller to actuator controllers of the host vehicle that control the actuators in accordance with an operating mode. Signal conditioning circuitry in the interface controller conditions the sensor signals and control signals to ensure that the electrical characteristics of the sensor signals are compatible with the interface controller, and that the electrical characteristics of the control signals are compatible with the actuator controllers.

A method is specified for monitoring an electronic control unit for a motor vehicle. An electronic control unit with a monitoring circuit, which contains at least one sensor component, is provided. A measured value is recorded by means of the at least one sensor component, on the basis of which an actual value of a characteristic value representative for the thermal, mechanical and/or chemical loading of the control unit is determined and compared with a predetermined set-point value. A signal is emitted as a function of the result of the comparison. A device and a control unit are additionally specified.

A smart vehicle system, which relates to technology for improving driving stability, safety and reliability of a vehicle when an error occurs in operational reliability of the vehicle. The smart vehicle system includes a host configured to receive a communication state information, store the received communication state information, and transmit a priority information of a communicable interface in response to the communication state information, a controller configured to select the communicable interface in response to the priority information, when a fault in the storage device is detected, and a communication interface circuit configured to include a plurality of communicable interfaces and to communicate with an external electronic device through the communicable interface selected by the controller.

The present disclosure provides a vehicle control device capable of detecting overheating of a CPU or a heat dissipation failure of the cooling mechanism, while suppressing increases in the size, the number of components, and the cost. A vehicle control device according to the present embodiment includes a memory, a CPU, a temperature sensor that is provided internal of the CPU, and a cooling mechanism that cools the CPU. The memory stores therein a standard pattern SP1, a wait time tw, a standard temperature Ts, and a normal temperature difference. The CPU then stores the load of the CPU in the memory, and monitors the load. When the load changes in accordance with the standard pattern SP1, the CPU calculates a temperature difference ?Tse between the standard temperature Ts and an evaluation temperature Te of the temperature sensor at the time point when the wait time tw elapses from the first pattern SP1 has started, and determines a failure when the temperature difference ?Tse is larger than the normal temperature difference.

A method for calibrating a driving risk identification model includes: 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 relates to a method for checking an AI-based information processing system used in the partially automated or fully automated control of a vehicle, wherein at least one sensor of the vehicle provides sensor data, the captured sensor data are evaluated by an AI-based information processing system arranged in a first control circuit of the vehicle and, from the evaluated sensor data, at least one output for controlling the vehicle is generated. The AI-based information processing system is checked by a testing circuit arranged in a second control circuit of the vehicle using at least one testing method, and wherein a test result of the at least one testing method is stored, with a reference to the tested AI-based information processing system and to the at least one testing method used, in a multi-dimensional data structure in a database arranged in the vehicle.

Provided is an on-road running test system including: a running data acquisition part that successively acquires pieces of actual running data on a vehicle on which a driver performs a running test on a road a calculation part that compares predetermined test conditions for the running test and the pieces of actual running data to calculate a driving operation style including at least one of an accelerator operation mode, a brake operation mode, and a shift operation mode for satisfying the test conditions; and a presentation part that presents the driving operation style to the driver.

Methods and systems are provided for conducting an ambient air temperature (AAT) sensor test. In one example, a method may include adjusting a vehicle actuator to reduce a deviation of the AAT measured by an AAT sensor on board a vehicle from an expected AAT and remeasuring the AAT with the AAT sensor in response to the AAT measured by the AAT sensor deviating from the expected AAT by more than a threshold temperature difference. In this way, excessively inflated or depressed AAT measurements at the AAT sensor can be reduced, the accuracy and the reliability of the AAT sensor measurements can be increased, vehicle fuel consumption and emissions can be reduced, and vehicle drivability can be increased.

In a shared backup ECU, a diagnostic section diagnoses an abnormality in a plurality of ECUs which, in order to perform an individual function, execute a program that is different according to the function. A loading section loads, from a storage section storing a plurality of programs in advance, a program which is the same as a program to be executed by an abnormal unit being an ECU whose abnormality has been detected by the diagnostic section. An execution section executes the program loaded by the loading section, thereby performing a function which is the same as a function of the abnormal unit on behalf of the abnormal unit.

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.