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.

A center device is configured to acquire software information of an ECU from a vehicle side, determine whether availability of update data for a vehicle based on the acquired software information, and transmit the campaign information to a master device when a vehicle condition is determined to be a contion suitable for an update. The master device is configured to download a distribution package from the center device when the vehicle condition is determined to be a condition in which the distribution package is downloadable.

The invention relates to a method for secure signal manipulation for testing integrated safety functionalities and to a system for carrying out the method. In the first step 100, an input signal of a software-based motor vehicle component rated as having a hazard level of ASIL A to ASIL D according to ISO standard 26262 is selected; in the second step 200, a test signal is determined by modifying the selected input signal; in the third step 300, an external signal manipulation unit is provided for verification and validation tests of the safety function in a QM context 2 according to ISO standard 26262; in the fourth step 400, the connection between the motor vehicle component and the external signal manipulation unit is established; in the fifth step 500, a safety function of the motor vehicle component is tested; in the sixth step 600, the test result is checked by means of a third test signal W3; in the seventh step 700, the test signals are, if necessary, modified for as long as is required until the relevant output signal corresponds to the target output signal; in the eighth step 800, the tested safety function is enabled. The method according to the invention makes possible efficient, complex, flexible and cost-effective signal manipulation in software-based vehicle components while also improving the functional safety thereof.

Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.

A method for testing a vehicular control system includes receiving, at a simulator, a discrete diagram identifying a plurality of tasks to be simulated and connections between the plurality of tasks, and receiving, at the simulator, a requested determinism level selected at a user device from a plurality of determinism levels. An optimal execution policy based on the simulator, the discrete diagram and the requested determinism level is selected from a plurality of execution policies. The plurality of tasks are simulated, by the simulator, using the selected optimal execution policy to simulate operation of the vehicular control system on a vehicle.

Diagnosing a sensor processing unit of an autonomous driving vehicle is described. An example computer-implemented method can include transmitting an executable image of a sensor processing application from a host system to the sensor processing unit via at least one of a universal asynchronous receiver-transmitter (UART) or an Ethernet connection. The method also includes causing the sensor processing unit to execute and launch the executable image of the sensor processing application in the DRAM from the eMMC storage device. The method also includes transmitting a sequence of predetermined commands to the executed sensor processing application to perform a plurality of sensor data processing operations on sensor data obtained from a plurality of sensors or sensor simulators associated with an autonomous driving vehicle. The method also includes comparing processing results of the sensor processing operations against expected processing results to determine whether the sensor processing application operates properly.

Methods and systems are provided for scheduling an alarm wake up to self-wake a control module of a vehicle while the vehicle is off to perform requesting features, including diagnostic and non-diagnostic afterrun tasks. In one example, a method may include, during a shutdown event of the control module, querying a plurality of requesting features for alarm wake up times, receiving a plurality of alarm wake up times from the plurality of requesting features, selecting one alarm wake up time from the plurality of alarm wake up times received, and setting a timer for the selected alarm wake up time. When the timer elapses at the selected alarm wake up time, the control module is woken and a request to run is sent to each of the plurality of requesting features.

A method of acquiring data, a computer program product for implementing the method, a system for acquiring data, and a vehicle including the system. The method includes determining one or more data types and virtual channels required for one or more applications. The method also includes allocating a plurality of circular buffers in memory according to the determined data type(s) and virtual channel(s). One or more of the circular buffers are allocated to safety data lines. The remaining circular buffers are allocated to functional data lines. The method further includes storing at least one functional data line in a circular buffer allocated to functional data lines according to a data type and virtual channel of the functional data line. The method also includes storing at least one safety data line in a circular buffer allocated to safety data lines.

The invention relates to a method for secure signal manipulation for testing integrated safety functionalities and to a system for carrying out the method. In the first step 100, an input signal of a software-based motor vehicle component rated as having a hazard level of ASIL A to ASIL D according to ISO standard 26262 is selected; in the second step 200, a test signal is determined by modifying the selected input signal; in the third step 300, an external signal manipulation unit is provided for verification and validation tests of the safety function in a QM context 2 according to ISO standard 26262; in the fourth step 400, the connection between the motor vehicle component and the external signal manipulation unit is established; in the fifth step 500, a safety function of the motor vehicle component is tested; in the sixth step 600, the test result is checked by means of a third test signal W3; in the seventh step 700, the test signals are, if necessary, modified for as long as is required until the relevant output signal corresponds to the target output signal; in the eighth step 800, the tested safety function is enabled. The method according to the invention makes possible efficient, complex, flexible and cost-effective signal manipulation in software-based vehicle components while also improving the functional safety thereof.

An electronic flanging device is for flanging the operation of a system. The system can be either a remote monitoring device for a fleet of autonomous motor vehicles for the remote piloting of the fleet by an operator or an autonomous vehicle belonging to a fleet of vehicles monitored by a remote monitoring device. The electronic flanging device includes a measuring module for measuring a lag in the communication between one of the autonomous vehicles and the monitoring device and a limiting module in order to limit the piloting of said autonomous vehicle by the operator as a function of the measured lag.