An apparatus for controlling the driving assistance of a vehicle, a system including the same and a method for the same are provided. The apparatus for controlling the driving assistance of the vehicle includes a processor to adjust a driving assistance controlling setting value, based on at least one of whether a user looks ahead, whether the user performs a driving manipulation, and a driving condition during driving assistance of the vehicle, and a storage to store the driving assistance controlling setting value.

Exemplary implementations may: generate output signals conveying contextual information and vehicle information; determine, based on the output signals, the contextual information; determine, based on the output signals, the vehicle information, determine, in an ongoing manner, based on the contextual information and/or the vehicle information, values of a complexity metric, the complexity metric quantifying predicted complexity of a current contextual environment and/or predicted complexity of a likely needed response to a change in the contextual information; filter, based on the values of the complexity metric, the contextual information spatially; and control, based on the vehicle information and the spatially filtered contextual information, the vehicle such that the likely needed response is satisfied.

An apparatus for controlling the driving assistance of a vehicle, a system including the same and a method for the same are provided. The apparatus for controlling the driving assistance of the vehicle includes a processor to adjust a driving assistance controlling setting value, based on at least one of whether a user looks ahead, whether the user performs a driving manipulation, and a driving condition during driving assistance of the vehicle, and a storage to store the driving assistance controlling setting value.

Exemplary implementations may: generate output signals conveying contextual information and vehicle information; determine, based on the output signals, the contextual information; determine, based on the output signals, the vehicle information, determine, in an ongoing manner, based on the contextual information and/or the vehicle information, values of a complexity metric, the complexity metric quantifying predicted complexity of a current contextual environment and/or predicted complexity of a likely needed response to a change in the contextual information; filter, based on the values of the complexity metric, the contextual information spatially; and control, based on the vehicle information and the spatially filtered contextual information, the vehicle such that the likely needed response is satisfied.

An approach to setting a cruise control speed based on identifying a vehicle operator and analyzing metadata associated with the vehicle operator. The identity of the vehicle operator and any passengers is determined based on identity sensors in the vehicle or by manual identity entry. Metadata, associated with the vehicle operator, is retrieved from the metadata database, located either locally or remotely. The metadata is analyzed based on factors such as the current route and the identity of any passengers. The cruise control speed is set based on the results of the analysis. Any changes to the setting are updated in the metadata database.

A vehicle speed control system that carries out a method of receiving a user input of a target set-speed at which the vehicle is intended to travel and applying torque to the at least one of the vehicle wheels for propelling the vehicle at a vehicle control speed. The user input is received via an input device that enables the user to incrementally increase the target set-speed by pressing and holding a target set-speed + button. The system includes a controller configured to incrementally increase the target set-speed while the set-speed + button is held, and, once the set-speed + button is released the controller is configured to continue to increase the target set-speed by a value determined by the controller in dependence on at least one of the instantaneous vehicle speed and the terrain over which the vehicle is travelling.

A system includes a speed sensor to detect a current speed, a camera to detect image data, and a GPS sensor to detect location data. The system also includes a memory to store a lookup table that maps efficient vehicle speeds to roadway speed limits. The system also includes an output device and an electronic control unit (ECU). The ECU determines a current speed limit of the current roadway and determines that the vehicle is within a steady speed range when the current speed of the vehicle fluctuates less than a predetermined speed threshold over a predetermined time period. The ECU also compares the current speed limit to the lookup table to determine at least one efficient vehicle speed that corresponds to the current speed limit and controls the output device to output the at least one efficient vehicle speed when the vehicle is within the steady speed range.

In one embodiment, speeds of an autonomous driving vehicle (ADV) are captured in response to a series of speed control commands issued at different points in time represented by a series of command cycles. For each of the command cycles, a first speed-changing rate is calculated based on a corresponding speed of the ADV and a second speed-changing rate is calculated based on the corresponding speed and a corresponding speed control command using a predetermined algorithm or function. A unit gain of speed control is determined using a cost function based on the first speed-changing rates and the second speed-changing rates, such that the cost representing a difference between the first speed-changing rates and the second speed-changing rates. The unit gain is then utilized to generate subsequent speed control commands for operating the ADV.

A system includes a speed sensor to detect a current speed, a camera to detect image data, and a GPS sensor to detect location data. The system also includes a memory to store a lookup table that maps efficient vehicle speeds to roadway speed limits. The system also includes an output device and an electronic control unit (ECU). The ECU determines a current speed limit of the current roadway and determines that the vehicle is within a steady speed range when the current speed of the vehicle fluctuates less than a predetermined speed threshold over a predetermined time period. The ECU also compares the current speed limit to the lookup table to determine at least one efficient vehicle speed that corresponds to the current speed limit and controls the output device to output the at least one efficient vehicle speed when the vehicle is within the steady speed range.

A vehicle speed control system is configured to automatically control the speed of the vehicle in dependence on an input set-speed. The system receives a user input of a target set-speed at which the vehicle is intended to travel. The system includes an input device to enable the user to incrementally increase and/or decrease the target set-speed upon each actuation of the input device by an incremental value. Torque is applied to at least one of the vehicle's wheels for propelling the vehicle at the vehicle control speed. The control system is configured to determine the incremental value in dependence upon at least one of: the instantaneous vehicle speed; the target set-speed; or the terrain over which the vehicle is travelling.