Systems and methods are described for performing one or more validity checks on potential trajectories for a device, such as an autonomous vehicle, to navigate. In some examples, a potential trajectory may be validated based on whether it is consistent with a current trajectory the vehicle is navigating such that the potential and current trajectories are not too different, whether the vehicle can feasibly or kinematically navigate to the potential trajectory from a current state, whether the potential trajectory was punctual or received within a time period of a prior trajectory, and/or whether the potential trajectory passes a staleness check, such that it was created within a certain time period. In some examples, determining whether a potential trajectory is feasibly may include updating a set of feasibility limits based on one or more operational characteristics of statuses of subsystems of the vehicle.

The present application discloses an abnormal data collecting method for automatic parking, an apparatus, a storage medium and a product, and relates to automatic driving technology and automatic parking technology in computer technology. A specific implementation i: in response to monitoring that a target vehicle generates a fault code during an automatic parking process, matching the fault code with at least one pre-configured fault code to be collected; in response to determining that the fault code matches the fault code to be collected, determining a data collecting strategy corresponding to the fault code to be collected; and performing a data collecting operation on abnormal data corresponding to the fault code according to the data collecting strategy.

A vehicle control system includes a vehicle control apparatus configured to set a target trajectory of a vehicle in autonomous driving, a manual driving database configured to contain manual driving trajectory information that indicates a manual driving trajectory that is a trajectory of the vehicle in manual driving, a weight acquisition device configured to acquire weight information that indicates weights of the target trajectory and manual driving trajectory, the weights being designated by a user of the vehicle, and a trajectory adjusting device configured to determine an integrated target trajectory by integrating the target trajectory and the manual driving trajectory based on the weights indicated by the weight information. The vehicle control apparatus is configured to control the autonomous driving of the vehicle such that the vehicle follows the integrated target trajectory.

In one embodiment, an ADV is routed by executing a first driving scenario that is active. The first driving scenario is one of a plurality of driving scenario types, each driving scenario type being associated with one or more stages to be executed while a corresponding driving scenario type is active. Based on an environmental condition around the ADV, a second driving scenario is set as active. The ADV is routed by executing the second driving scenario. When the second driving scenario exits, execution of the first driving scenario resumes at the one or more stages of the first driving scenario that remains to be executed.

A vehicle control system, includes: a travel control unit configured to generate a first control signal for controlling a direction control device of a vehicle to make the vehicle travel along a road shape; a stability control unit configured to generate a second control signal for controlling the direction control device to stabilize behavior of the vehicle when the behavior of the vehicle is in a prescribed unstable state; and an arbitration unit configured to receive the first control signal and the second control signal and to output at least one of the first control signal and the second control signal to the direction control device. When the arbitration unit is receiving the second control signal, the arbitration unit reduces a control amount corresponding to the first control signal.

A control device includes: an acquisition unit configured to acquire, from a driving assist system, a requested acceleration and ending information indicating an end of a deceleration control; and a control unit configured to control a powertrain and a brake based on the requested acceleration, and perform a prescribed process of stabilizing a driving force and a braking force that are generated in an ending process of the deceleration control based on the requested acceleration when the acquisition unit acquires the ending information.

The present application discloses an abnormal data collecting method for automatic parking, an apparatus, a storage medium and a product, and relates to automatic driving technology and automatic parking technology in computer technology. A specific implementation i: in response to monitoring that a target vehicle generates a fault code during an automatic parking process, matching the fault code with at least one pre-configured fault code to be collected; in response to determining that the fault code matches the fault code to be collected, determining a data collecting strategy corresponding to the fault code to be collected; and performing a data collecting operation on abnormal data corresponding to the fault code according to the data collecting strategy.

A control method for a vehicle is disclosed. The vehicle includes an in-vehicle controller, the in-vehicle controller pre-stores an instruction relationship, and the instruction relationship is used to represent an execution selection that is made by the in-vehicle controller from contrary instructions of at least two controllers. The method includes: receiving, by the in-vehicle controller, a first instruction and a second instruction (S410); and determining, by the in-vehicle controller, a vehicle control instruction according to the instruction relationship, the first instruction, and the second instruction (S420).

A system and method for dynamically managing application loads on a vehicle includes: receiving a plurality of distinct application requests; for each one application request, identifying expected computing resource expenditure data based on one or more attributes of each one application request; and identifying current state data for each of a plurality of computing resources of the vehicle based on an expected utilization of each of the plurality of computing resources for fulfilling each one application request; dynamically generating an execution schedule for executing a subset of or each of the plurality of distinct application requests based on (1) the expected computing resource expenditure data for each one application request and (2) the current state data for each of the plurality of computing resources of the vehicle; and executing the subset of or each of the plurality of distinct application requests based on the execution schedule.

A method for selecting a driving profile of a motor vehicle, a driver assistance system therefor and a motor vehicle equipped therewith is disclosed. In the method and based on an operating action by a driver, a deviation between the number of predetermined driving profiles currently desired by the driver and that previously used is recognized. After the deviation has been recognized, a query is output to the driver as to whether the deviation should be taught by the driver assistance system for the current situation. After the query has been confirmed by the driver, the driver assistance system is accordingly adapted for the current situation in at least one parameter influencing the selection of the driving profile to be used such that the deviation in the automatic selection of the driving profile to be used in future situations that correspond to the current situation is taken into account.