A computer-implemented method for providing a digital road map for testing an at least partially automated vehicle system. the method includes: accessing a database in which are stored permissible characteristics of the road properties for a multitude of road properties; creating at least one road map section by one of the possible characteristics being selected for the road map section for the first of the multitude of road properties, in each particular case in automated fashion from the database; providing the digital road map, the digital road map including the at least one road map section.

A computer-implemented method for providing a digital road map for testing an at least partially automated vehicle system. the method includes: accessing a database in which are stored permissible characteristics of the road properties for a multitude of road properties; creating at least one road map section by one of the possible characteristics being selected for the road map section for the first of the multitude of road properties, in each particular case in automated fashion from the database; providing the digital road map, the digital road map including the at least one road map section.

The present disclosure provides a method for identifying a confidence level of an autonomous driving system in an autonomous driving vehicle. The method includes determining hardware currently used by the autonomous driving system to realize required functions and environmental factors which affect the hardware capability of the hardware, and establishing a relationship between the hardware capability and the environmental factors; based on environmental factors on a future specific road section acquired in real time, calculating a degree to which the hardware capability will be affected on the specific road section; in consideration of acquired the environmental factors, judging an influence of the affected hardware capability on the realization of required functions of the autonomous driving system based on the acquired the environmental factors; and reflecting the influence on the realization of required functions of the autonomous driving system as a confidence level, and prompting the confidence level to a driver.

An autonomous vehicle (AV) maintenance system engages a user of an AV to assist in maintenance tasks. A sensor interface receives data captured by a sensor of the AV. An issue detector processes the sensor data to detect an issue in the AV. A user interface module instructs a user to perform a maintenance task addressing the detected issue. A verification module verifies that the user successfully completed the maintenance task.

A number of illustrative variations may include a method or product for monitoring and responding to component, system, or module failure in an autonomous driving system.

A number of illustrative variations may include a method or product for monitoring and responding to component, system, or module failure in an autonomous driving system.

An inspection system includes sensors that are selectively coupled to a vehicle during an inspection and/or maintenance event for the vehicle and a controller that is operable to cause a control system of the vehicle to initiate a first operation and a different, second operation. The controller determines whether first sensor information indicative of a state of the vehicle during the first operation exists. The controller sends a command signal to the control system to direct the control system to change vehicle operations from the first operation to the second operation responsive to determining that the first sensor information is lacking. The controller obtains second sensor information from the sensors based on the second operation and determines a condition of the vehicle based on the first and/or second sensor information.

The disclosure describes various embodiments for monitoring safety of an autonomous driving vehicle (ADV). In one embodiment, a method includes the operations of receiving, by a vehicle controller, one or more error message from a patrol module, the one or more error messages generated by an autonomous driving system of the ADV operating in an autonomous mode, the patrol module monitoring the autonomous driving system; evaluating a status of the autonomous driving system based on the one or more error messages; and keeping the ADV in the autonomous mode or switching it to a manual mode based on the status of the autonomous driving system.

A method for shifting a transmission in a machine. The method includes detecting a request for a directional shift of the transmission and determining a ground speed of the machine in response to the request. The method further includes overriding the request if the ground speed is above a ground speed threshold. Further, the method includes preparing the machine for the directional shift by limiting an output speed of a power source of the machine and by issuing a command to a brake unit of the machine to reduce the ground speed of the machine. Furthermore, the method includes validating and raising the request to the transmission to execute the directional shift if the ground speed is below the ground speed threshold.

A vehicle includes a controller area network (CAN) and a plurality of a controllers in communication with each other via the CAN, wherein each controller of the plurality of controllers is configured to time-stamp messages transmitted via the CAN using a vehicle-wide synchronized clock, determine a worst-case transmission delay via the CAN based on the time-stamps for messages received from other controllers of the plurality of controllers, and based on the worse-case transmission delay, set a dynamic recovery timer for a malfunctioning controller of the plurality of controllers to recover after its malfunction, wherein the dynamic recovery timer prevents a particular controller that was malfunctioning but has since recovered from being incorrectly designated as a malfunctioning controller in need of service.