A method may include obtaining one or more inputs in which each of the inputs describes at least one of: a state of an autonomous vehicle (AV) or a state of an object; and identifying a prediction context of the AV based on the inputs. The method may also include determining a relevancy of each object of a plurality of objects to the AV in relation to the prediction context; and outputting a set of relevant objects based on the relevancy determination for each of the plurality of objects. Another method may include obtaining a set of objects designated as relevant to operation of an AV; selecting a trajectory prediction approach for a given object based on context of the AV and characteristics of the given object; predicting a trajectory of the given object using the selected trajectory prediction approach; and outputting the given object and the predicted trajectory.

A control device mounted in a vehicle in which at least one controlled part is controlled based on an output parameter obtained by inputting input parameters to a learned model using a neural network, provided with a parked period predicting part predicting future parked periods of the vehicle and a learning plan preparing part preparing a learning plan for performing relearning of the learned model during the future parked periods based on results of prediction of the future parked periods.

A vehicle system includes: a map processing unit that creates local map data based on high accuracy map data and a position of an own vehicle by extracting data of regions near the own vehicle; and an autonomous driving control unit that receives the local map data from the map processing unit, creates a travel plan for autonomous traveling of the own vehicle based on the local map data, and controls traveling of the own vehicle according to the travel plan. The map processing unit creates multiple pieces of transmission data by dividing the local map data so as to correspond to regions on a map and transmits the multiple pieces of transmission data to the autonomous driving control unit. The map processing unit changes a data amount of each piece of transmission data based on road traffic information contained in the high accuracy map data.

A driving diagnosis device includes a detection value recorder configured to acquire and record a detection value detected by a detector provided in a vehicle from a detection value acquirer for acquiring the detection value, the detection value being a physical quantity that changes based on at least one of traveling, steering, and braking of the vehicle or a physical quantity that changes by operation of a predetermined operating member, an information extractor configured to extract a specific detection value that is the detection value specified from the detection value recorder, a KPI acquirer configured to acquire a key performance indicator based on the specific detection value, and a score calculator configured to calculate a driving operation score based on the key performance indicator.

A method for determining an updated trajectory at a certain time point for the longitudinal and/or lateral control of a vehicle. The method includes determining short-range trajectory candidates in an immediate vicinity of a trajectory determined at a preceding time point, the short-range trajectory candidates being determined with a relatively fine value resolution of one or more state variables of the vehicle. In addition, the method includes determining at least one long-range trajectory candidate outside of the immediate vicinity of the trajectory determined at the preceding time point, the long-range trajectory candidate being determined with a relatively coarse value resolution of the one or more state variables. Furthermore, the method includes determining the updated trajectory at the certain time point on the basis of the determined short-range trajectory candidates and on the basis of the determined long-range trajectory candidate.

Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.

The disclosure relates to a control apparatus for enabling functions, comprising an integrated circuit. The control apparatus has a function register unit for storing at least one entry relating to an enabled state of a respective circuit function and/or of a respective circuit area of the integrated circuit. The integrated circuit is configured to enable the respective circuit function and/or the respective circuit area for use in accordance with the at least one entry in the function register unit. The control apparatus has a function control unit configured to respond to a predetermined actuation signal by changing the at least one entry in the function register unit, wherein the change is made only if a predetermined authenticity check based on a cryptographic method confirms a source of the actuation signal is authorized, so that the function control unit is actuatable only by a trusted source.

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.

A control system for controlling a motion of a vehicle to a target driving goal uses a decision-maker configured to determine a sequence of intermediate goals leading to the next target goal by optimizing the motion of the vehicle subject to a first model and tightened driving constraints formed by tightening driving constraints by a safety margin, and uses a motion planner configured to determine a motion trajectory of the vehicle tracking the sequence of intermediate goals by optimizing the motion of the vehicle subject to the second model. The driving constraints include mixed logical inequalities of temporal logic formulae specified by traffic rules to define an area where the temporal logic formulae are satisfied, while the tightened driving constraints shrink the area by the safety margin, which is a function of a difference between the second model and the first model approximating the second model.

An on-vehicle control system includes lower level control units each including a driver circuit capable of driving each of a plurality of loads and a multiplex communication circuit, an upper level control unit that is connected with each of the plurality of lower level control units via a predetermined communication line and controls the plurality of lower level control units. A first lower level control unit and a second lower level control unit are connected as the plurality of lower level control units. The upper level control unit includes a function allocation unit that allocates a first function to the first lower level control unit and allocates a second function to the second lower level control unit, and a master control unit that controls the first function and the second function by communication.