Volkswagen Ag

Tobias Kain

Julian-Steffen Müller

Hendrik Decke

Maximilian Wesche

Fabian Plinke

Andreas Braasch

Marcel Aguirre Mehlhorn

Johannes Heinrich

Timo Horeis

Yael Abelardo Martinez Flores

A method of a transportation vehicle for context-dependent processing of a potential error of a vehicle component. The method includes determining a current context of the transportation vehicle and of at least one vehicle component of the transportation vehicle that is heterogeneous in the current context. In response to at least one heterogeneous vehicle component being determined, a heterogeneous verification of the potential error is performed taking into account the at least one heterogeneous vehicle component. In response to no heterogeneous vehicle component being determined, a context-dependent relevance of the vehicle component is determined. Based on the determined context-dependent relevance, then either the potential error of the vehicle component is handled or an emergency operating mode of the transportation vehicle is initiated. Also disclosed is a transportation vehicle having a control unit to perform the method.

Method of a vehicle for context-dependent error processing by means of heterogeneous verification, and vehicle

Technologies and techniques for the at least the partially automated driving of a motor vehicle. A first application and at least one redundant second application provide output data depending on motor vehicle operating data and/or environmental data. Vehicle driving data for the at least partially automated driving of the motor vehicle are determined depending on the output data. Vehicle operating data from another vehicle are received, and, depending on the vehicle operating data, the at least one redundant second application switches from an active state to a standby state in which a computer instance of a computer unit used by the at least one redundant second application is at least executed at a lower frequency than in the active state.

Automated driving of a motor vehicle

The disclosure provides a method for operating an automatically driving vehicle, wherein application instances are executed over several computational nodes, wherein recognized faults are reacted to by switching to redundant application instances and then reconfiguring the configuration to restore specified redundancy conditions and/or segregation conditions, wherein the vehicle is transitioned to a safe state using at least one failover apparatus when at least one specified redundancy condition and/or at least one segregation condition cannot be met by the reconfiguration, and/or a specified time for reconfiguration is exceeded, and/or an unrecoverable malfunction has been recognized, wherein the at least one failover apparatus plans an emergency trajectory using a trajectory planner, wherein sensor data are detected via separate signal lines and supplied to the at least one failover apparatus, and wherein control signals are generated and transmitted via separate control lines to an actuator system of the vehicle.

Method and device for operating an automatically driving vehicle

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.

Method for operating a self-propelled vehicle, and control system for performing such a method

The invention relates to a method for the dynamic, context-based distribution of program codes in a control system of a vehicle. The control system has a plurality of control apparatuses for executing the program codes. The program codes are assigned to the corresponding control apparatuses of the control system by a global placement graph. In doing so, the global placement graph is calculated in a computing unit that is located outside of the control system. The data of the global placement graph are transmitted to the control system. It is provided for the global placement graph to be calculated based on the current configuration as well as known reconfigurations, wherein the selection of the next node of the global placement graph to be calculated is calculated using the probability of occurrence of an error as well as the effect of the error.

Method for the dynamic, context-based distribution of software in a control system of a vehicle, as well as a control system

Technologies and techniques for dynamic, context-based distribution of program codes in a control system in a vehicle. The control system includes numerous control units. The allocation of the program codes to the corresponding control units in the control system takes place using a global placement chart. The global placement chart is calculated on a computer, which may be located outside the control system. The data from the global placement chart are sent to the control system. Other aspects include an at least partially autonomous motor vehicle that has a control system for executing dynamic, context-based distribution of program codes.

Method for dynamic context-based distribution of software in a vehicle control system, and a control system

A self-driving motor vehicle including numerous control units and numerous program codes for controlling the functions of the autonomous driving and other functions of the self-driving vehicle. Numerous program codes used for an autonomous driving mode are applied redundantly to at least two different control units. The self-driving motor vehicle may then be operated in an at least a partially autonomous driving mode. In this mode, the functions directly needed for satisfying a passenger's desire are determined, and weighted with regard to their importance in fulfilling the passenger's desires. At least one function of a lower order is then shut off, if the available resources in functioning control units and/or the power level in the self-driving motor vehicle are insufficient to execute program code for executing this function of the lower order.

Growing community of inventors

Oberndorf/Melk, Austria

Tobias Kain