The invention relates to a method for operating a self-propelled motor vehicle having a plurality of control units and a plurality of program codes for controlling the function of autonomous driving and possibly other functions of the self-propelled vehicle, wherein a plurality of program codes used for an autonomous driving mode are redundantly applied to at least two different control units. In doing so, the self-propelled motor vehicle is operated in an at least partially autonomous driving mode. In this mode, the functions directly needed to satisfy the passenger's wishes are ascertained and weighted corresponding to their relevance for satisfying the passenger's wishes. In so doing, the functions, or the scope of functions, are released depending on the achievement of a target achievement level.

A system for controlling a remote smart parking assist (RSPA) system is provided. The system includes an engine control unit (ECU) that is configured to operate an engine and an RSPA controller that is configured to receive vehicle state information from the ECU regarding whether or not a vehicle system error occurs and, if an error occurs, whether or not the error is an error in which a vehicle is possible to be driven. The RSPA controller is further configured to transmit torque request information to the ECU when the vehicle system error is an error in which the vehicle is possible to be driven.

A method for performing an on-board diagnostic function in a motor vehicle including at least one drive system, at least one operating element and at least one control unit with a processor, a control module and an on-board diagnostic function module. The method includes the steps of: activating an on-board diagnostic function in the on-board diagnostic function module; supplying a first signal profile (S1) of an operating value (CV) of the operating element to an analysis module; the analysis module analyzing the first signal profile (S1) of the operating value (CV); activating a filtering module in the event of a positive analysis result; and the filtering module filtering the first signal profile (S1) of the operating value (CV) with selected damping parameters (DP) upon activation of the filtering module in order to obtain a filtered second signal profile (S2) of the operating element.

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

A method for monitoring an electric steering device of a vehicle while the vehicle is driving, the method including generating a nominal movement direction signal that characterizes a current nominal movement direction of the vehicle and processing the nominal direction movement signal in at least one electronic control device; feeding surroundings data into the at least one electronic control device wherein the surroundings data is generated by a sensor device of the vehicle that scans surroundings of the vehicle touch free, wherein the surroundings data characterizes surroundings of the vehicle and is configured to be processed by a first driver assistance system, wherein the surroundings data facilitates detecting a current actual movement direction of the vehicle; generating an actual movement direction signal by the at least one electronic control device based on the surroundings data wherein the actual movement direction signal characterizes a current actual movement direction of the vehicle.

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.

An automatic processing system, a system on chip and a method for monitoring a processing module are described herein. The automatic driving processing system comprises: an automatic driving processing module, configured for receiving an input data stream and processing the input data stream based on a deep learning model so as to generate a processing result; a fault detection module, configured for generating a control signal and a fault detection stimulating data stream, and receiving the processing result from the automatic driving processing module; and a multi-way selection module, configured for receiving an automatic driving data stream as well as the control signal and the fault detection stimulating data stream, and selectively outputting the automatic driving data stream or the fault detection stimulating data stream to the automatic driving processing module based on the control signal, as an input data stream.

In some implementations, a method of verifying operation of a sensor is provided. The method includes causing a sensor to obtain sensor data at a first time, wherein the sensor obtains the sensor data by emitting waves towards a detector. The method also includes determining that the detector has detected the waves at a second time. The method further includes receiving the sensor data from the sensor at a third time. The method further includes verifying operation of the sensor based on at least one of the first time, the second time, or the third time.

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.

The present invention relates to methods and systems for prioritized activation of sensor hardware of a vehicle for development, evaluation, and/or testing of ADS features. The method comprises obtaining data indicative of a set of platform constraints of the vehicle, set of requirements for each of a plurality of ADS features, and a priority scheme for the plurality of ADS features. The method further comprises obtaining data indicative of a predicted scene or scenario in the surrounding environment of the vehicle that the vehicle is expected to be exposed to at a future moment in time. Then, the method comprises generating, based on the platform constraints, the set of requirements, the priority scheme and the predicted scene or scenario, an arbitration signal indicative of a sensor hardware activation and a resource allocation of the platform of the vehicle for at least one of the plurality of ADS features.