A controller included in an apparatus: (i) identifies a first situation included in a condition for imposing a regulation on operation of the apparatus; (ii) identifies a second situation included in a condition for lifting the regulation imposed on the operation; (iii) if the first situation is not a predetermined first situation where the operation is regulated, controls the apparatus in a first mode in which a predetermined operation of the apparatus is permitted; (iv) if the first situation is the predetermined first situation, controls the apparatus in a second mode in which the predetermined operation is restricted; (v) if the second situation is a situation, which is a situation where it is desirable that the apparatus be controlled in the first mode, rather than the second mode, controls the apparatus in the first mode even if the first situation is the predetermined first situation.

A control system of a vehicle, the vehicle including a detection unit for detecting external information related to an outside of surroundings of the vehicle, the external information being used to control a driven state of the vehicle is provided. The control system performs a method comprising: obtaining map information of surroundings of a route on which the vehicle travels based on position information of the vehicle, and specifying, from among pieces of detection range information corresponding to the map information, detection range information corresponding to the detection unit; and controlling the driven state of the vehicle based on the specified detection range information and the external information.

A vehicle control device executes a traveling control that controls traveling of an own vehicle to enable the own vehicle to follow a preceding vehicle traveling in front of the own vehicle. The vehicle control device includes: an environment prediction unit that predicts whether an adverse-effect change has occurred in a surrounding environment around the own vehicle, the adverse-effect change being likely to have an adverse effect on a fuel economy of the own vehicle; and an acceleration control unit configured to execute a prediction control that enables an acceleration of the own vehicle to be limited when the environment prediction unit predicts that the adverse-effect change has occurred in the surrounding environment.

The present application discloses a method for controlling cruise of a vehicle. The method includes: acquiring a pre-established three-dimensional trajectory map of the vehicle from a starting point to a destination; acquiring current positioning information of the vehicle; intercepting a target trajectory at a preset distance currently ahead of the vehicle from the three-dimensional trajectory map according to the current positioning information; acquiring a target point from the target trajectory according to the current positioning information; acquiring a wheelbase and a current speed of the vehicle, and calculating an angle that front wheels of the vehicle are required to rotate, according to the target point, the current positioning information, the wheelbase, and the current speed; controlling a movement of the vehicle according to the angle.

Systems and methods are directed to a method for assured autonomous vehicle compute processing. The method can include providing sensor data to first and second functional circuitry of an autonomy computing system. The first and second functional circuitry can be configured to generate first and second outputs associated with a first autonomous compute function. The method can include generating, by the first and second functional circuitry in response to the sensor data, first and second output data associated with the first autonomous compute function. The method can include generating, by monitoring circuitry of the autonomy computing system, comparative data associated with differences between the first output data and the second output data. The method can include generating one or more vehicle control signals for the autonomous vehicle based at least in part on the comparative data.

Systems and methods are directed to an autonomy computing system of an autonomous vehicle. The autonomy computing system can include first functional circuitry configured to generate a first output associated with a first autonomous compute function of the autonomous vehicle based on sensor data using first neural networks. The autonomy computing system can include second functional circuitry configured to generate a second output associated with the first autonomous compute function of the autonomous vehicle based on the sensor data and neural networks. The autonomy computing system can include monitoring circuitry configured to determine a difference between the first output of the first functional circuitry and the second output of the second functional circuitry. The autonomy computing system can include a vehicle control system configured to generate vehicle control signals for the autonomous vehicle based on the outputs.

Systems and methods are directed to an autonomy computing system for an autonomous vehicle. The autonomy computing system can include functional circuits associated with a first compute function of the autonomous vehicle. Each of the functional circuits can be configured to obtain sensor data that describes one or more aspects of an environment external to the autonomous vehicle at a current time. Each of the functional circuits can be configured to generate, over a time period and based on the sensor data, a respective output according to the specified order. The autonomy computing system can include monitoring circuits configured to evaluate an output consistency of the respective outputs, and in response to detecting an output inconsistency between two or more of the respective outputs, generate data indicative of a detected anomaly associated with the first autonomous compute function.

A method and road assistance system for safe handling an autonomous vehicle during emergency failure situation is disclosed. The road assistance system establishes a network connection with autonomous vehicle, where request for the network connection is transmitted by the autonomous vehicle on detection of operation failures. Upon establishing the network connection with the autonomous vehicle, vehicle failure information is received from the autonomous vehicle. The road assistance system determines type of failure in the autonomous vehicle based on the vehicle failure information. Further, current surrounding environment information is obtained for the autonomous vehicle from one of autonomous vehicle and one or more sensing devices located in proximity to the autonomous vehicle. Thereafter, the road assistance system generates at least one control instruction based on the type of failure and the current surrounding environment information. The at least one control instruction is provided to the autonomous vehicle for execution during the emergency failure situation.

A vehicle control device includes a recognizer configured to recognize a surrounding situation of a vehicle, a driving controller configured to control steering and acceleration or deceleration of the vehicle without depending on an operation of a driver of the vehicle, and a mode determiner configured to determine a driving mode of the vehicle to be one of a plurality of driving modes including a first driving mode and a second driving mode, in which it is recognized that there is an end point to end the second driving mode due to a road structure on a traveling direction side of the vehicle, and the driving mode of the vehicle is changed from the second driving mode to the first driving mode when a distance from the end point is equal to or less than a reference distance.

The invention relates to a driver assistance system (11) for an at least partially automatically driving motor vehicle (10), wherein the driver assistance system (11) comprises at least one environment detection means (13) which is designed to detect at least one area of an environment (U) of the motor vehicle (10), an evaluation device (14) which is designed to determine a target trajectory (T) to be traveled by the motor vehicle (10) according to the detected at least one area of the environment (U), and a control device (18) which is designed to adjust the target trajectory (T) determined by the evaluation device (14). According to the invention, the evaluation device (14) is designed to determine at least one free area value (W) according to the detected at least one area of the environment (U), and to transfer same to the control device (18), wherein the control device (18) has at least one adjustable control parameter (R1, R2, Rn), and the control device (18) is designed to adjust the at least one control parameter (R1, R2, Rn) according to the transferred free area value (W), and to adjust the target trajectory (T) according to the adjusted at least one control parameter (R1, R2, Rn).