Devices, systems, and methods related to prediction of tire performance using existing CAN data to improve overall vehicle performance. Machine learning tools are applied to CAN data, for example pilot data and/or vehicle dynamics data, to predict tire performance factors for use in a vehicle control system to provide vehicle lateral guidance control.

A longitudinally guiding driver assistance system in a motor vehicle has a first detection system for detecting currently applying events or relevant events lying ahead, which require a change of the permissible maximum speed, a second detection system for detecting the course of the route, and a function unit which, when detecting a relevant event while taking into account the location of the relevant event, determines a location-dependent point in time, whose reaching causes the function unit to initiate an automatic adaptation of the currently permissible maximum speed or an output of a prompt information for permitting an automatic adaptation of the currently permissible maximum speed to anew permissible maximum speed. The function unit is designed to take into account available information concerning the course of the route when determining the location-dependent point in time.

A vehicle collision avoidance assist apparatus keeps stopping a collision avoidance control to avoid a collision of an own vehicle with an object ahead of the own vehicle when the own vehicle turns, a predetermined condition is satisfied, and a collision condition is satisfied. While the own vehicle turns, the apparatus acquires an own vehicle turning angle which is an angle which the own vehicle has turned about a turning center from when the own vehicle starts turning and change the predetermined condition, depending on the own vehicle turning angle.

A method for providing a positive decision signal for a vehicle which is about to perform a traffic scenario action. The method includes receiving information about at least one surrounding road user, which information is indicative of distance to the surrounding road user with respect to the vehicle and at least one of speed and acceleration of the surrounding road user; calculating a value based on the received information; providing the positive decision signal to perform the traffic scenario action when the calculated value is fulfilling a predetermined condition. The value is calculated based on an assumption that the surrounding road user will react on the traffic scenario action by changing its acceleration.

A system for controlling operation of a vehicle during a turning maneuver includes an object detection sensor, a vehicle turning angle sensor, and a processor. A memory is communicably coupled to the processor and stores a turning alert zone module configured to determine if a speed of the vehicle is within a predetermined range of speeds and, if the speed of the vehicle is within the predetermined range of speeds, determine if a vehicle turning angle is above a predetermined threshold value. If the turning angle is above the predetermined threshold value, and using the turning angle, a turning alert zone is determined. The system may then determine if at least a portion of an object resides in the turning alert zone and, if at least a portion of an object resides in the turning alert zone, control an operation of the vehicle (for example, a braking operation).

A control unit for a vehicle is configured to detect a signalling installation ahead, wherein the signalling installation has at least one signal transmitter. The control unit is configured to ascertain digital map information indicating and/or allowing an association between the at least one signal transmitter and at least one possible direction of travel of the vehicle at the signalling installation. The control unit is further configured to operate a driving function of the vehicle on the basis of the digital map information.

An apparatus for controlling a direction and speed of travel an autonomous vehicle or driver assisted autonomous vehicle (AV). A GPS and map module receive a start location and a destination location for the AV. A plurality of sensors identify a current and a proposed lane for the AV. A database of AV baseline maneuver profiles used to control one or more of direction and speed of travel of the AV is provided. A trajectory profile generator module generates a planned path for the AV with lateral acceleration less than 2 Hz, based on the start location, the destination location, the current and proposed lane for the AV, and a selected AV baseline maneuver profile from the database. A steering control module controls the direction of travel of the AV based on the generated AV planned path, and a supervisory control module controls the speed of the AV based on the generated AV planned path and inner ear constraints.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example system for an AV includes obtaining, by a computer located in the AV, an image from a camera located on the AV, where the image characterizes an area towards which the AV is driven on a lane on a road or a highway; determining, from the image, that a pedestrian or a cyclist is located next to the lane on the road or the highway; and in response to the determining, performing driving operations on the AV such as steering from a center of the lane to a first side of the lane that is away from the center of the lane and away from a location of the pedestrian or the cyclist, and/or slowing down the AV in response to certain conditions.

A method for lane centering control of a host vehicle that is towing a trailer includes: determining in real time, by a controller of the host vehicle, a radius of curvature of a turn, wherein the host vehicle is approaching the turn; determining, by the controller, a trailer required offset based on the radius of the curvature of the turn to maintain the host vehicle and the trailer in a lane while the host vehicle and the trailer move along the turn; and controlling the host vehicle using the trailer offset to maintain the host vehicle and the trailer in a lane while the host vehicle and the trailer move along the turn. The method also allows the host vehicle to avoid encroaching vehicles.

Aspects of the disclosure relate to identifying and adjusting speed plans for controlling a vehicle in an autonomous driving mode. In one example, an initial speed plan for controlling speed of the vehicle for a first predetermined period of time corresponding to an amount of time along a route of the vehicle is identified. Data identifying an object and characteristics of that object is received from a perception system of the vehicle. A trajectory for the object that will intersect with the route at an intersection point at particular point in time is predicted using the data. A set of constraints is generated based on at least the trajectory. The speed plan is adjusted in order to satisfy the set of constraints for a second predetermined period of time corresponding to the amount of time. The vehicle is maneuvered in the autonomous driving mode according to the adjusted speed plan.