A method for determining a speed profile to be followed by a vehicle, including acquiring event data including a distance from an event and a target speed at this event for the vehicle, and determining a speed profile to be followed as a function of time, between an initial speed and the target speed in three successive distinct phases, respectively a first phase in which the jerk is set constant at a predetermined maximum jerk value to reach an optimal target acceleration value, a second phase in which the optimal target acceleration value is kept constant, and a third phase in which the jerk is again set constant to reach a zero acceleration value at the end of the third phase. The optimal target acceleration value is such that the distance required to carry out the three phases of the profile is equal to the distance from the event.

A driving support apparatus includes a feedback control system. The feedback control system calculates each operation amount of a brake actuator and a drive actuator so as to match an actual value of a control amount indicating a motion state of the vehicle to a target value. The target value of the control amount is set so as to stop the vehicle to a target stop position. The driving support apparatus sets, when remaining distance from a current position of the vehicle to the target stop position is first distance, a feedback gain of the feedback control system to large value, as compared with the feedback gain set when the remaining distance is second distance which is greater than the first distance.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

Disclosed is a driver assistance system including a camera installed in a vehicle, the camera having a field of view around the vehicle and obtaining an image data; and a controller configured to process the image data. The controller performs a lane keeping assistance control for providing an auxiliary steering torque to a steering actuator to maintain a driving lane of a vehicle. The controller changes at least one of a vehicle speed and the auxiliary steering torque depending on a payload of the vehicle during the lane keeping assistance control.

A device and a method for controlling autonomous driving control a speed of an autonomous vehicle before downhill travel. The device and method calculate a travel resistance of an autonomous vehicle on a travel-intended-route, including a downhill route, a main braking pressure required to travel at a constant speed, and a brake temperature based on braking. The device and method determine whether to reduce the main braking pressure based on the calculated brake temperature and calculates a decreased amount of the main braking pressure and an increased amount of a speed of the autonomous vehicle based on the decreased amount of the main braking pressure on the travel-intended-route when determining to reduce the main braking pressure. The device and method limit a maximum speed of the autonomous vehicle before entering the travel-intended-route based on the increased speed amount.

Techniques are described for estimating road friction between a road and tires of a vehicle. A method includes receiving, from a temperature sensor on a vehicle, a temperature value that indicates a temperature of an environment in which a vehicle is operated, determining a first range of friction values that quantify a friction between a road and tires of a vehicle based on a function of the temperature value and an extent of precipitation in a region that indicate a hazardous driving condition, obtaining, from the first range of friction values, a value that quantifies the friction between the road and the tires of the vehicle, where the value is obtained based on a driving related behavior of the vehicle, and causing the vehicle to operate on the road based on the value obtained from the first range of friction values.

A driver assist system for a vehicle includes a vehicle speed sensor disposed at a vehicle. An ECU includes a processor for processing sensor data generated by the vehicle speed sensor. The ECU, responsive to processing at the ECU of sensor data generated by the vehicle speed sensor, determines speed of the vehicle. The ECU, responsive to determining that the speed of the vehicle reaches a vehicle soft lock speed, automatically enables a vehicle speed soft lock. The ECU, responsive to the vehicle reducing speed to the vehicle soft lock speed by coasting, maintains the current vehicle speed at the vehicle soft lock speed. The ECU, responsive to the speed of the vehicle increasing a multiple of a vehicle speed increment above the vehicle soft lock speed, automatically sets an increased vehicle soft lock speed that is the multiple of the vehicle speed increment above the vehicle soft lock speed.

Systems and methods to control the vehicle speed of a vehicle includes a motor and a controller coupled to the motor. The controller is structured to: determine that a speed of a vehicle is at or above a predetermined speed limit; activate a motor speed governor responsive to an input received by the controller, wherein the motor speed governor is structured to control a vehicle speed; and adjust an output torque based on the vehicle speed being at or above the predetermined speed limit.

This driving assistance device includes a target acceleration correcting unit configured as follows: if there was input, from a coupling detection unit, of detection results indicating that a trailer has been coupled, the target acceleration correcting unit outputs a target acceleration, output from an ACC unit, as-is to a drive system; and if there was input of detection results indicating that a trailer (2) has not been coupled, the target acceleration correcting unit corrects to a smaller value the target acceleration, output from the ACC unit, and outputs said corrected target acceleration to the drive system.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example method for operating an AV includes receiving, from a sensor located on the AV, sensor data that captures a road sign located at a distance from the AV that is operating on a roadway; obtaining, from the sensor data, roadway information indicated by the road sign that corresponds to a segment of the roadway associated with the road sign that is ahead of a current position of the AV on the roadway; determining trajectory-related information for the AV for the distance that is based on the roadway information obtained from the sensor data; and causing the AV to travel in accordance with the trajectory-related information until a determination that the AV has arrived within the segment of the roadway associated with the road sign.