A driver assistance apparatus includes an external camera disposed at a vehicle so as to have an outer field of view of the vehicle, configured to obtain image data on the outer field of view of the vehicle; an internal camera disposed inside the vehicle to grasp a drivers gaze on board the vehicle, configured to obtain the drivers gaze data; and a controller including at least one processor configured to process the image data and the gaze data. The controller may be configured to grasp the driver's gaze based on the gaze data, and based on a determination that the driver is in a careless condition, to control at least one of a control timing of a steering device and a lateral distance limit value for operating the steering device to be changed.

When a marker on a road is detected, an automated driving apparatus mounted on a vehicle determines whether to perform automated driving based on comparison between a relative movement log from the marker as a start point according to autonomous navigation and shape point data concerning a lane acquired from the most recent map data.

A blending steering control method includes estimating a handwheel pressure applied by an operator to a handwheel and receiving a handwheel torque input indicating a torque value applied by the operator to the handwheel. The method also includes receiving a target handwheel angle indicating a target handwheel angle of an electronic power steering system configured to control a corresponding vehicle along a defined path. The method also includes generating a scaled operator intent value based on the estimated handwheel pressure and the handwheel torque and generating an output torque value based on the target handwheel angle and scaled operator intent value. The method also includes selectively controlling vehicle trajectory based on the output torque value.

Systems and methods for providing real-time feedback to a driver of a vehicle based on real-time datasets is disclosed. The systems and methods include obtaining one or more sets of real-time data associated with a vehicle. Performing one or more operations on the set of real-time data, wherein the one or more operations are based on the set of real-time data. Generating, a feedback alert based on results of the one or more operations and one or more detected real-time behaviors of the vehicle. Providing the feedback alert for presentation at a user interface on-board the vehicle. The real-time data may include contextual data, environmental data, operating data, data for a plurality of drivers, or combinations thereof.

An automated parking system and a method enable a driverless vehicle to autonomously travel and park in a vacant parking slot through communication with a parking infrastructure. The automated parking system and method also control the driverless vehicle to autonomously travel from a parking slot to a pickup area through communication with the parking infrastructure.

A steering device includes: a mechanism configured to turn turning wheels of a vehicle; a motor configured to generate drive force that is applied to the mechanism; and a controller configured to control the motor in accordance with a steering state. The controller includes a determination circuit configured to determine whether or not one of the turning wheels is in contact with an obstacle based on at least a value of electric current that is supplied to the motor and a vehicle speed. The controller is configured to, when one of the turning wheels is in contact with the obstacle, notify a driver that one of the turning wheels is in contact with the obstacle.

Vehicles, control systems for vehicles, and methods of operating vehicles are disclosed herein. A vehicle includes a frame structure, a front section, a rear articulation section, and a control system. The front section is coupled to the frame structure and to a front plurality of wheels supported for movement on a front axle. The rear articulation section is coupled to the frame structure and to a rear plurality of wheels supported for movement on a rear axle. The rear articulation section is pivotally coupled to the front section via an articulation joint and arranged opposite the front section along a vehicle axis. The control system is coupled to the frame structure and includes a mode selector configured to provide input indicative of a mode selected by an operator in use of the vehicle and a controller communicatively coupled to the mode selector.

A system and method for reliably determining lanes of a roadway includes an optical sensing arrangement for sensing metallic striping from photoelectric effect. The location of the striping that defines a border of a traffic lane is determined and the location of the striping is displayed on a graphical user interface. The location can be used to provide lane control to ensure the vehicle maintains proper position in a traffic lane, lane warning assistance, collision avoidance, parking control, and guidance for autonomous driving.

Techniques are described for measuring angle and/or orientation of a rear drivable section (e.g., a trailer unit of a semi-trailer truck) relative to a front drivable section (e.g., a tractor unit of the semi-trailer truck) using an example rotary encoder assembly. The example rotary encoder assembly comprises a base surface; a housing that includes a second end that is connected to the base surface and a first end that is at least partially open and is coupled to a housing cap; and a rotary encoder that is located in the housing in between the base surface and the housing cap, where the rotary encoder includes a rotatable shaft that protrudes from a first hole located in the housing cap, and where a top of the rotatable shaft located away from the rotary encoder is coupled to magnet(s).

A system and method is provided for determining where a vehicle has parked in a parking lot. The method includes determining a geometry for a parking lot; receiving vehicle event data including periodic vehicle event data for vehicle speed and steering angle; tracking a movement of a vehicle using the vehicle event data; and determining where a vehicle has parked using a steering angle to determine a number of turns in the parking lot geometry.