The techniques and systems herein enable estimated-acceleration determination for AEB Specifically, for a potential collision, a determination is made as to whether the target of the potential collision is likely to be stopped prior to the potential collision (e.g., due to its own braking). One of a plurality of estimated-acceleration functions is then selected based on whether the target is likely to be stopped prior to the potential collision. Using the selected estimated-acceleration function, an estimated acceleration to avoid the potential collision is calculated. By selecting different estimated-acceleration functions based on whether targets are likely to be stopped prior to potential collisions, more-accurate estimated accelerations may be generated, thus enabling better collision avoidance and/or avoiding unnecessarily strong braking.

The technology provides a sign detection and classification methodology. A unified pipeline approach incorporates generic sign detection with a robust parallel classification strategy. Sensor information such as camera imagery and lidar depth, intensity and height (elevation) information are applied to a sign detector module. This enables the system to detect the presence of a sign in a vehicle's externa environment. A modular classification approach is applied to the detected sign. This includes selective application of one or more trained machine learning classifiers, as well as a text and symbol detector. Annotations help to tie the classification information together and to address any conflicts with different the outputs from different classifiers. Identification of where the sign is in the vehicle's surrounding environment can provide contextual details. Identified signage can be associated with other objects in the vehicle's driving environment, which can be used to aid the vehicle in autonomous driving.

An adaptive trust calibration based autonomous vehicle may include vehicle systems, a system behavior controller, and a driving automation controller. The system behavior controller may generate a driving automation signal indicative of a desired autonomous driving adaptation. The driving automation controller may control the vehicle systems based on parameters including a desired velocity, current velocity of the autonomous vehicle, desired minimum gap distance between the autonomous vehicle and a detected object, current gap distance gap between the autonomous vehicle and a detected object, relative velocity of the detected object with respect to the autonomous vehicle, desired time headway, desired maximum acceleration, desired braking deceleration, and an exponent. The driving automation controller may receive the driving automation signal and implement the desired autonomous driving adaptation via the vehicle systems by adjusting the parameters based on a type of object associated with the detected object.

A vehicle control system includes first and second traveling control units for performing traveling control of controlling driving, braking, and/or steering of a vehicle without depending on a driving operation of a driver. In a case in which control instructions concerning the same actuator conflict between the first traveling control unit and the second traveling control unit, the first traveling control unit arbitrate the control instructions.

Systems and methods are provided for adjusting the creep torque to maneuver a vehicle to a target location. In various embodiments, the creep torque adjustment mode is deactivated when the driver changes the direction of travel. The change in direction also causes the parameters of the creep torque control to be reinitiated to their initial values. In various embodiments, the creep torque mode is increased from a low creep towards a target creep. If the driver engages the brakes, the input torque is set to zero, and when the driver releases the brake, the minimum creep torque is set to the value that creep torque had risen to just before the brake was applied. This allows the driver to control the acceleration and speed, by just braking. In various embodiments, the creep control controls reverse creep to aid in hooking up a vehicle to a trailer.

A predictive traction control system may include: a road surface conditions information providing unit mounted on a vehicle driven by a driving motor, to detect and output an upstream road surface condition in a travelling direction of the vehicle; and a predictive control unit electrically connected to the road surface conditions information providing unit, determining an entry or release of the predictive traction control using information on road surface conditions input from the road surface conditions information providing unit, and calculating target driving motor speed for controlling the driving motor and transmitting the same.

A vehicle control device includes: a first detection unit that detects a traveling state of a host vehicle; a merging detection unit that detects that the host vehicle approaches within a predetermined area of a merging point when the host vehicle travels on the merging road toward the merging point at which a main road joins with the merging road; a second detection unit that detects a speed of a lane flow by another vehicle that travels on the main road toward the merging point; a position detection unit that obtains a position of a pre-merging point as a virtual point on the main road reaching the merging point when the host vehicle reaches the merging point; and a display control unit that controls a display device to display the position of the host vehicle and the pre-merging point.

A vehicular trailer hitching assist system includes a camera disposed at a rear portion of a vehicle and viewing at least rearward of the vehicle. An electronic control unit (ECU) includes an image processor operable to process image data captured by the camera. The ECU, via image processing of image data captured by the camera, detects a trailer rearward of the vehicle and determines a first path of travel for the vehicle to follow to maneuver the vehicle toward the trailer and to align the tow ball of the vehicle with a trailer hitch of the trailer. The ECU generates an output to maneuver the vehicle along the determined first path of travel. Responsive to detection of an object entering the first path of travel, the ECU determines a second path of travel for the vehicle to follow that avoids the detected object entering the determined path of travel.

Aspects of the disclosure relate to controlling a first vehicle in an autonomous driving mode. While doing so, a second vehicle may be identified. This vehicle may be determined to be a tailgating vehicle. An initial allowable discomfort value representing expected discomfort of an occupant of the first vehicle and expected discomfort of an occupant of the second vehicle may be identified. Determining a speed profile for a future trajectory of the first vehicle that meets the value may be attempted based on a set of factors corresponding to a reaction of the tailgating vehicle. When a speed profile that meets the value cannot be determined, the value may be adjusted until a speed profile that meets the value is determined. The speed profile that meets an adjusted value is used to control the first vehicle in the autonomous driving mode.

A vehicle control device in an embodiment includes a recognition unit that recognizes a surrounding situation of a vehicle and a driving control unit that controls one or both of steering and acceleration or deceleration of the vehicle on the basis of the surrounding situation recognized by the recognition unit, and in a case where the vehicle merges into a second lane from a first lane in which the vehicle travels, and a section of the second lane before merging recognized by the recognition unit is downhill, the driving control unit makes a speed or acceleration of the vehicle higher than in a case where the section before merging is not downhill.