A vehicle control device includes a controller configured to control operation of a driving motor that is to output a driving force for a vehicle. The controller is switchable between a normal mode of controlling acceleration/deceleration based on a driver's acceleration/deceleration operation, and a cruise control mode of maintaining the vehicle speed at a target speed without the acceleration/deceleration operation. The controller is configured to, during the cruise control mode, calculate a torque command value for the motor by using integral control based on an integrated value of a deviation between the vehicle speed and the target speed, and execute an integrated-value adjustment process if the controller determines that the vehicle entered a flat road or an uphill road from a downhill road or a downhill road from a flat road or an uphill road. The process adjusts the integrated value to reduce an absolute value of the integrated value.

Autonomous driving simulation using recorded driving data is disclosed. A method of simulating autonomous driving includes receiving recorded driving data from a recorded autonomous vehicle (AV), the recorded driving data includes decision-making data generated using a first decision-making algorithm, sensing data, and movement data including positions of the recorded AV; obtaining simulation data from the recorded driving data by excluding the decision-making data from the recorded driving data; and simulating, by a simulation AV, a second decision-making algorithm using the simulation data. The simulating the second decision-making algorithm includes determining a first position of the simulation AV at a first time and adjusting a playback speed of the simulation data based on a difference between the first position and a second position of the positions of the recorded AV at the first time.

In one embodiment, a system receives a reference trajectory including a reference path in which the ADV is to follow. The system controls the ADV along the reference path using a path tracking algorithm, including: determining a first lateral distance error, determining a second lateral distance error based on the first lateral distance error using a proportional-integral-derivative (PID) control system, where the second lateral distance error compensates for a lateral drift, and generating a steering command based on the second lateral distance error using the path tracking algorithm to control the ADV to minimize a lateral distance error, e.g., a lateral distance between an actual path taken by the ADV and the reference path.

An autonomous controller for lateral motion includes a vehicle positioning module that calculates a lateral departure degree from the center of a virtual line after a line is lost using position information of a vehicle. The position information is derived by data obtained from the vehicle which is traveling. The controller also includes a driving route determination module that determines the virtual line connecting waypoints previously generated on a map for a section where the line is lost to connect an old line with a new line. A lateral control module then performs lateral autonomous control of the vehicle in a direction where the lateral departure degree is minimized to cause the vehicle to follow a driving route connecting waypoints set on the virtual line to travel.

A driving support apparatus performing a plurality of driving support includes: a reliability acquiring unit that acquires each reliability of a plurality of detection apparatus, the reliability representing likelihood of a detection result of the detection apparatus; a determination unit that determines whether or not each of the detection apparatus is a high reliability apparatus determined based on a reliability threshold; a correspondence acquiring unit that acquires correspondence information representing a correspondence between combinations of the plurality of detection apparatus including information of whether or not each apparatus is a high reliability apparatus, and types of driving support to be performed; a setting unit that sets a driving support to be performed, based on a result of the determination; an executing unit that executes the driving support to be performed; and an output unit that outputs a command to allow the executing unit to execute the driving support.

An electromechanical power transmission chain comprises an electric machine (110) mechanically connectable to a combustion engine (111) and to one or more actuators (114) to be driven, an energy-storage (118) for storing electric energy, converter equipment (115) for driving the electric machine in a torque controlled mode when transferring electric energy between the electric machine and the energy-storage, and a device (101) for producing a torque reference for the electric machine. The device produces a control value based on electric energy stored by the energy-storage so that the control value is a decreasing function of the stored electric energy, and produces the torque reference based on a difference between the control value and a control signal indicative of torque produced by the combustion engine.

Various examples are directed to systems and methods for at least partially controlling a vehicle. A vehicle system may access motion plan data for the vehicle. The vehicle system may generate drivetrain bias data representative of drivetrain effects of the vehicle. The vehicle system may generate a biased throttle command using the motion plan data and the drivetrain bias data and apply the biased throttle command to a propulsion system of the vehicle.

A control system for a hybrid transmission of a vehicle, the hybrid transmission having first and second electric motors, comprises a motor speed sensor configured to measure a rotational speed of the first electric motor and a controller. The controller is configured to determine a first difference between a first measured speed and a first expected speed of the first electric motor, when the first difference exceeds a speed threshold indicative of tire slippage, temporarily adjust a torque output of the second electric motor to compensate for an oscillation generated by the first electric motor, after controlling the second electric motor to temporarily adjust its torque output, determine a second difference between a second measured speed and a second expected speed of the first electric motor, and when the second difference does not exceed the speed threshold, control the second electric motor based on a driver torque request.

The invention relates to a method for longitudinal control of a motor vehicle, the motor vehicle having an engine and a braking system. The method including receiving a torque demand from a controller for controlling the speed of the vehicle, and providing a torque on the basis of this torque demand, whereby, depending on the value of the torque demand, a brake torque counteracts the torque demand to control longitudinal vehicle movement.

Steering devices and methods for a vehicle are provided, where the method includes monitoring failure of an electric steering system, calculating a target yaw rate value and a target velocity value of the vehicle based on a signals received from one or more sensors, in response to detecting the failure in the electric steering system, detecting a wheel angle of a front wheel portion, performing backup steering based on generating slip in the vehicle to move the vehicle in a direction corresponding to an intended direction, and controlling a velocity of the vehicle to drive the vehicle based on an intended velocity, wherein the performing of the backup steering includes calculating a braking torque for each of the front wheel portion and a rear wheel portion based on the velocity and an steering angle, and distributing the braking torque to the front wheel portion and the rear wheel portion.