A computer system (e.g., an on-board vehicle computer system) creates or updates a mapping of transmission gears and respective driveline ratios during operation of the vehicle. The system obtains a current engine speed and vehicle speed and calculates a current driveline ratio for the vehicle based on the current engine speed and vehicle speed. If the driveline is engaged, the system updates the mapping based at least in part on the current driveline ratio. Performing the update may include adding a new transmission gear or updating an existing transmission gear in the mapping, or removing a duplicate transmission gear from the mapping. Applications include cruise control, predictive cruise control, predictive shifting, and selecting a gear for a specific purpose (e.g., for descending a hill).

A system and methods thereof for identification of at least an occurrence of a scenario that involves at least an object are provided. The method receives one or more scenario definitions, each scenario referring to at least a first object and a second object, each of the first object and the second object are described by a temporal behavior of a first plurality of agents. It then receives a data stream of a behavior of a plurality of objects, the plurality of objects described by temporal behavior of a second plurality of agents. Thereafter, identifying each occurrence of one or more scenarios within the received data stream based on temporal behavior of the first plurality of agents and temporal behavior of the second plurality of agents. Lastly, generating a notification of each identified scenario in the received data stream.

A system and methods thereof for monitoring proper behavior of an autonomous vehicle are provided. The method includes generating a plurality of agents, wherein each of the plurality of agents describes a physical object, wherein at least one of the plurality of agents is an agent for the DUT, generating a plurality of scenarios, wherein each scenario models a behavior of at least one of the plurality of agents, and monitoring an interaction between the plurality of agents and the DUT agent for a scenario modeling the respective agent.

The present invention provides a technology for comprehensive verification of the safety of the design of functions, on the basis of a safety analysis result. The disclosed vehicle control system verification device is equipped with a storage device that stores programs for verifying the safety of the logical architecture of a vehicle control system, and a processor that reads the programs from the storage device and verifies the safety of the logical architecture. On the basis of safety analysis result information that is supplied, the processor executes a process for verifying whether the logical architecture has logical functions corresponding to the safety analysis result.

A controller includes a processor programmed to determine, for a vehicle, a first control input based on input data and first reference parameters. The processor is further programmed to operate the vehicle according to the first control input. Based on operating data of the vehicle for an operating condition, the processor determines a second control input for the vehicle. Operating the vehicle according to the second control input reduces a cost of operating the vehicle relative to operating the vehicle according to the first control input. The processor is further programmed to determine, based on the second control input, second reference parameters. The controller generates a third control input based on the second reference parameters and the input data. A cost of operating the vehicle according to the third control input is reduced relative to the cost of operating the vehicle based on the first control input.

A vehicle system has a first operating mode and a second operating mode. The first operating mode is configured to execute a functionality of the vehicle system in driving mode based on acquired sensor signals and to operate the vehicle in an at least partially automated manner through interventions in vehicle guidance based on the result of the executed functionality. The second operating mode is configured to change a degree of the effectiveness of the interventions in the driving mode and/or a degree of the effectiveness of an operation decoupled from the vehicle guidance, and, when executing a functionality of the vehicle system with a changed degree of the effectiveness of an intervention in the vehicle guidance and/or a changed degree of the effectiveness of an operation decoupled from the vehicle guidance, to acquire operating data of the vehicle and/or feedback data from the user of the vehicle.

A method for determining information related to a lane change of a target vehicle includes obtaining information related to an environment of the target vehicle. The information related to the environment relates to a plurality of features of the environment of the target vehicle. The plurality of features are partitioned into two or more groups of features. The method further determines two or more weighting factors for the two or more groups of features. An attention mechanism is used for determining the two or more weighting factors. The method further determines the information related to the lane change of the target vehicle based on the information related to the environment of the target vehicle using a machine-learning network. A weighting of the plurality of features of the environment of the target vehicle within the machine-learning network is based on the two or more weighting factors for the two or more groups of features.

A driving model generation device is provided that enables driving evaluation according to a traveling situation of a vehicle. A vehicle is provided with a vehicle state detector, which detects a vehicle state quantity that changes according to a driving operation by a driver. A model generator generates a driving model, which is a reference related to a specific driving operation, based on the vehicle state quantity at the time the driver starts the specific driving operation and the vehicle state quantity at the time the specific driving operation is finished. A driving evaluator evaluates the driving skill of the driver by comparing the driving operation of the driver presented by a detection result of the vehicle state detector to the driving model generated by the model generator.

A system for controlling a motion of a vehicle from an initial state to a target state includes a path planner to determine a discontinuous curvature path connecting the initial state with the target state by a sequential composition of driving patterns. The discontinuous curvature path is collision-free within a tolerance envelope centered on the discontinuous curvature path. The system further includes a path transformer to locate and replace at least one treatable primitive in the discontinuous curvature path with a corresponding continuous curvature segment to form a modified path remaining within the tolerance envelope. Each treatable primitive is a predetermined pattern of elementary paths. The system further includes a controller to control the motion of the vehicle according to the modified path.

A driver assist design analysis system includes a processing system and a database that stores vehicle data, vehicle operational data, vehicle accident data, and environmental data related to the configuration and operation of a plurality of vehicles with driver assist systems or features. The driver assist design analysis system also includes one or more analysis engines that execute on the processing system to determine one or more driving anomalies (e.g., accidents or poor driving operation) based on the vehicle operational data, and that correlate or determine a statistical relationship between the driving anomalies and the operation of the driver assist systems or features. The driver assist design analysis system then determines an effectiveness of operation of one or more of the driver assist systems or features based on the statistical relationship to determine a potential design flaw in the driver assist systems or features, and the driver assist design analysis system notifies a user or receiver of the potential design flaw.