A vehicle control system includes a recognizer that recognizes a surrounding environment of a vehicle, and a driving controller that performs speed control and steering control of the vehicle based on a recognition result of the recognizer. When moving the vehicle to a parking area after detecting that an occupant gets off the vehicle at a stop position, the driving controller adjusts a start timing for starting the vehicle based on the number of vehicles stopped at the stop position recognized by the recognizer.

A system for controlling an internal combustion engine start threshold in a parallel hybrid-electric vehicle. A predetermined conditions tracking module determines whether or not conditions of a plurality of predetermined conditions exist. Responsive to a determination that the conditions exist, a required power estimation module estimates a next acceleration required by the vehicle and a final power requirement for the next acceleration. A propulsion system control module determines if the estimated final power requirement is between a first amount of electric motor power available at a predetermined base engine start threshold and a second amount of electric motor power available at a predetermined elevated engine start threshold. If the estimated final power requirement is between the first and second amounts of power, operation of the vehicle is controlled so as to ensure that the engine start threshold is at the predetermined elevated threshold.

A strict reverse navigation method for optimal estimation of fine alignment is provided. The strict reverse navigation method including: establishing an adaptive control function; performing a forward navigation calculation process; performing a reverse navigation calculation process; and performing the adaptive control for a number of forward and reverse calculations. The strict reverse navigation method shortens an alignment time for the optimal estimation of fine alignment while ensuring an alignment accuracy. The strict reverse navigation method provided effectively solves a problem that an error of an initial value of filtering in an initial stage of the optimal estimation of fine alignment affects convergence speeds of subsequent stages. In the initial stage, a larger number of the forward and reverse navigation calculations are adopted to reduce an error of the initial value as much as possible and increase a convergence speed of the filtering.

Systems and methods are disclosed herein for automatically controlling wheel lean in a work vehicle (e.g., a motor grader) comprising a front portion with an axle and a plurality of traction wheels configured to lean at a wheel-lean angle relative thereto. Based on output signals from one or more sensors mounted on the work vehicle, work conditions are detected comprising an actual wheel-lean angle of at least one wheel relative to the axle, an oscillation angle of the axle, and a slope of the terrain. In automatic control operations, wheel lean is automatically directed to a predetermined orientation (e.g., corresponding to a direction of gravity), based at least on detected work conditions. Wheel lean may further be automatically directed based on detected steering inputs for positioning of the traction wheels and a detected articulation angle for positioning of the front portion of the work vehicle relative to the rear portion.

A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive map information from a server, the map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, the sensing information including an image received from an image sensor, and a processor configured determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information and transmit the generated autonomous driving visibility information based on the sensing information and the determined optimal path, update the optimal path based on dynamic information related to a movable object located in the optimal path and the autonomous driving visibility information, and control the interface unit to shut off or start an engine of the vehicle based on the autonomous driving visibility information.

An apparatus for preventing rolling of a vehicle operating in an automatic vehicle hold mode includes a reset determination unit configured to determine whether an automatic hold controller controlling an operation of the automatic vehicle hold mode has been reset, a mode determination unit configured to determine whether a mode of the vehicle is the automatic vehicle hold mode when it is determined that the automatic hold controller has been reset, and a vehicle control unit configured to brake the vehicle, based on at least one of a gear position, an opening degree of an accelerator pedal, and whether a brake pedal is operated, when it is determined that the mode of the vehicle is the automatic vehicle hold mode.

An assembly for an engine includes a control module including a controller operable to control at least certain aspects of the operation of the engine, a display including an input connected to the controller, and a wireless receiver connected to the controller. The wireless receiver is arranged to receive a signal from a wireless device to cause the controller to send an engine start signal to cause starting of the engine and wherein the input when actuated causes the controller to send an engine start signal to cause starting of the engine. In at least some implementations, no keyed ignition switch is provided to start the engine and the engine is started only via the wireless device or the input.

A device for controlling an electric oil pump (EOP), which is configured to supply a hydraulic pressure to a vehicle, includes a controller that controls driving of the EOP based on lighting information of a traffic light corresponding to a travel direction of the vehicle in a state in which an engine of the vehicle is stopped as an Idle Stop and Go (ISG) system of the vehicle is operated.

A vehicle according to the present disclosure includes an engine configured to autostop and autostart during a drive cycle. The vehicle additionally includes a user interface and a controller. The controller is configured to present on the user interface a metric indicative of a quantity of engine autostops during a drive cycle.

A stop-start control system for a vehicle includes a camera disposed at the vehicle and having a field of view exterior and forward of the vehicle. A control includes an image processor operable to process image data captured by the camera. Responsive to image processing of captured image data, the control determines the presence of a stopping area ahead of the vehicle and being approached by the vehicle. Responsive to determination of the presence of the stopping area ahead of the vehicle and being approached by the vehicle, and responsive to determination that the driver of the vehicle releases the accelerator pedal of the vehicle so the vehicle is coasting toward the determined stopping area, the control causes the engine to at least partially shut off.