The vehicle control method can include: determining a vehicle state based on a set of vehicle state inputs; determining a command based on the vehicle state; and controlling the vehicle according to the command. The method can optionally include updating a vehicle model based on a control outcome. However, the method S100 can additionally or alternatively include any other suitable elements. The method can function to determine longitudinal vehicle control based on a set of vehicle state inputs (e.g., a limited set of inputs—such as without direct knowledge of a throttle input, etc.). Additionally or alternatively, the vehicle control method can function to infer driving intent based on vehicle state measurements and/or translate inferred driving intent into low-latency vehicle control. Additionally or alternatively, the system can function to autonomously augment longitudinal propulsion, autonomously augment vehicle braking, and/or facilitate autonomous (longitudinal) vehicle control.

A number of illustrative variations may include a system and method of controlling vehicle slowing while implementing brake-to-steer functionality that may include providing a feed-forward gain on vehicle propulsion torque to achieve or maintain target longitudinal acceleration and replicate the behavior of a vehicle not using brake-to-steer. The system may manipulate propulsion of the vehicle to manage longitudinal acceleration disturbance and speed disturbance during brake-to-steer.

The present disclosure describes a computer-implemented method for controlling a vehicle. In aspects, the computer-implemented method includes acquiring sensor data from a sensor, determining first processed data related to a first area around the vehicle based on the sensor data using a machine-learning method, and determining second processed data related to a second area around the vehicle based on the sensor data using a conventional method. The second area may include a subarea of the first area. In addition, the computer-implemented method includes controlling the vehicle based on the first processed data and the second processed data.

A vehicle drive assist device includes an ECU. The ECU determines whether an object recognition condition meets a predetermined condition, which means that a driver of the vehicle recognizes the presence of an object ahead of the vehicle, based on the state of an operation of an operator of the vehicle by the driver. The ECU executes deceleration control when the collision index value is smaller than a second index value smaller than a first index value and the ECU determines the object recognition condition does not meet the predetermined condition. The ECU does not execute the deceleration control when the ECU determines the object recognition condition meets the predetermined condition even when the collision index value is smaller than the second index value.

A travel controller includes: an information acquisition part configured to acquire braking state information of a braking device brake state, travel road information, and an ACC-ECU configured to perform travel, based on a set vehicle speed, and follow-up travel control under which the subject vehicle follows another vehicle traveling ahead thereof. After canceling activation of the travel control during the activation of the travel control, when the information acquisition part acquires travel road information showing that a travel road on which the subject vehicle is traveling is not a downhill road any longer, even if a braking performance index based on the braking state information acquired by the information acquisition part is not increased with respect to a second reference threshold, then the ACC-ECU allows the travel control activation to be resumed.

The present disclosure relates to an autonomous vehicle control system (100) for providing motion control of an autonomous vehicle (200), comprising: —a primary control unit (10) configured to perform longitudinal and lateral motion control of the vehicle during normal operation, —a secondary back-up control unit (20) configured to perform back-up longitudinal motion control when an emergency mode has been enabled, wherein the primary control unit is further configured to perform back-up lateral motion control when the emergency mode has been enabled. The invention further relates to a method for providing motion control of an autonomous vehicle and to an autonomous vehicle.

Techniques are provided which may be implemented using various methods and/or apparatuses in a vehicle to utilize vehicle external sensor data, vehicle internal sensor data, vehicle capabilities and external CV2X input to determine, send, receive and utilize data elements to determine inter-vehicle spacing, intersection priority, lane change behavior and spacing and other autonomous vehicle behavior.

A vehicular trailer sway management system includes at least one rearward-sensing radar sensor disposed at a vehicle and an electronic control unit (ECU). Radar data captured by the at least one rearward-sensing radar sensor is provided to the ECU. With a trailer hitched to the vehicle, the trailer sway management system, via processing at the ECU of the provided captured radar data, determines oblique angles of the trailer relative to the vehicle. As the vehicle tows the trailer, and responsive to monitoring of determined oblique angles of the trailer relative to the longitudinal axis of the vehicle, the trailer sway management system determines sway of the trailer relative to the vehicle. Responsive to the determined sway of the trailer relative to the vehicle, the trailer sway management system at least in part controls operation of the vehicle to manage sway of the trailer relative to the vehicle.

A system, for use in evaluating operation of a vehicle, includes a hardware-based processing unit, and a non-transitory computer-readable storage component including various functioning modules. The modules in various embodiments include an input module that, when executed by the hardware-based processing unit, receives, from a vehicle-braking sensor, braking data indicting characteristics of a braking event at the vehicle. The system in some implementations includes an input unit receiving the braking data from the sensor and passing it to a braking-monitoring module. The braking-monitoring module, when executed by the hardware-based processing unit, determines, based on the braking data, whether the braking event is within an acceptable pre-established limit. The technology in various embodiments includes processes performed by the system and algorithms used therein.

A method for accelerating a vehicle from rest, including controlling an engine according to a first control strategy; receiving a mode indication selecting a launch control mode for accelerating; controlling the engine according to a second control strategy; in response to greater than zero accelerator position, controlling to increase throttle valve opening and engine control operational conditions to limit engine torque output; while in the second control strategy, receiving an indication to end control by the second control strategy; and in response to indication, controlling according to the first control strategy causing the vehicle to accelerate from rest, the first acceleration rate greater than the second rate corresponding to accelerating from rest after sequentially controlling according to the first and second control strategies; the second acceleration rate corresponding to accelerating from rest by controlling according to the first control strategy without previously controlling according to the second control strategy.