A vehicle includes a computing device configured to detect an object in an external environment via an external sensor. The computing device determines a trajectory for navigation relative the object based on a trust zone. The trust zone is selected based on a trust parameter. The computing device instructs a display device to render a representation of the object and the trajectory relative the object, and determines whether to modify the trust parameter based on feedback data received in response to navigation.

A vehicle system comprises an engine, a motor-generator and a controller. The engine has a combustion mode in which a part of an air-fuel mixture is combusted by spark ignition, and then the remaining air-fuel mixture is combusted by self-ignition. The controller sets a target additional deceleration based on a steering angle, when a steering wheel is turned, and sets an air-fuel ratio of the air-fuel mixture to either one of a first air-fuel ratio and a second air-fuel ratio which is on a lean side, based on an operating state, when the engine performs the combustion mode. The controller controls an ignition timing so as to generate the target additional deceleration in the first air-fuel ratio, and controls a regenerative electric power generation of the motor-generator so as to generate the target additional deceleration in the second air-fuel ratio.

When a driving assist ECU determines that a mistaken pedal operation has occurred, it starts an automatic brake control, and thereafter, ends the automatic brake control when a steering operation rate ω is greater than a threshold ωf (ω>ωf). Whereas, when the ECU determines that the mistaken pedal operation has not occurred, it performs a steering override control and does not perform the automatic brake control, when a steering operation amount θ is greater than a threshold θe or when the steering operation rate ω is greater than the threshold.

A method of controlling braking when steering an in-wheel motor vehicle includes monitoring a required tire rotation angle for each steering angle and an actual tire rotation angle when performing cooperative control of an in-wheel motor for reducing a steering load, and generating a vehicle braking force in a case where the actual tire rotation angle exceeds the required tire rotation angle, thereby easily preventing a vehicle-skidding phenomenon.

In one embodiment, static-state curvature error compensation control logic for autonomous driving vehicles (ADV) receives planning and control data associated with the ADV, including a planned steering angle and a planned speed. A steering command is generated based on a current steering angle and the planned steering angle of the ADV. A throttle command is generated based on the planned speed in view of a current speed of the ADV. A curvature error is calculated based on a difference between the current steering angle and the planned steering angle. The steering command is issued to the ADV while withholding the throttle command, in response to determining that the curvature error is greater than a predetermined curvature threshold, such that the steering angle of the ADV is adjusted in view of the planned steering angle without acceleration.

A power adjustment system and a power adjustment method of an autonomous mobile device are provided. In the power adjustment method, two first current control signals respectively transmitted to two drivers are outputted by a control module. A tilt angle of the autonomous mobile device is detected by an inertial measurement module. A travel route is planned by a navigation module, and the control module obtains a steering angle of the autonomous mobile device during a traveling process. According to different weight values of the autonomous mobile device stored in a database module, a weight of the autonomous mobile device is estimated by the control module. According to the two first current control signals and the weight, the steering angle, and the tilt angle of the autonomous mobile device, two second current control signals respectively transmitted to the two drivers are outputted by the control module.

A method of providing turning path guidance for a vehicle includes determining parameters of a turn region of a roadway using a controller of the turning path guidance system. The parameters include lane data and turning angle data. Positions of objects in and around the turn region of the roadway are detected using a sensor system of the vehicle. A map of the turn region is generated based on the lane data, turning angle data and that shows the detected objects using the controller. A turning path for the vehicle for navigating the turn in the turn region that avoids the detected objects is determined using the controller. The map with the turning path is displayed on a display screen in the vehicle.

A vehicle-based safety intervention system receives sensor data collected or generated by an onboard computing system of a vehicle. The sensor data is divided into a plurality of blocks, each of the blocks having a duration. A driver behavioral model is applied to one or more of the plurality of blocks to generate one or more driver behavioral parameters. A trend of the one or more driver behavioral parameters is extracted from the plurality of blocks. Based on the extracted trend, it is determined that a driver's performance when operating the vehicle is unsatisfactory or will be unsatisfactory in the future. A vehicle-based intervention is generated based on the determination that the driver's performance is unsatisfactory or will be unsatisfactory in the future.

A vehicle height adjustment control apparatus is provided for compensating for vehicle pulls including a recognition device that recognizes that a vehicle is driven straight, a determination device that determines whether the vehicle pulls of the vehicle occur, in response to recognizing that the vehicle is driven straight, and a controller that generates a warning message and calculates compensation height control information of the vehicle in response to determining that the vehicle pulls occur.

Systems and Methods for controlling an autonomous vehicle, may include: receiving sensor data, the sensor data comprising vehicle parameter information for the autonomous vehicle; using the sensor data to determine a vehicle state for the autonomous vehicle, wherein the vehicle state comprises information regarding a magnitude of an actual or predicted effective understeer gradient for the vehicle; computing a yaw moment required to correct the effective understeer gradient based on the magnitude of the effective understeer gradient; and determining a combination of one or more vehicle control inputs, including applying a brake torque, to correct the effective understeer gradient; applying the brake torque to a single wheel of the vehicle, wherein an amount of brake torque applied is sufficient to lock up the single wheel to create a yaw moment on the vehicle to achieve the computed yaw moment required to correct the effective understeer gradient.