A system and method of parking a vehicle is disclosed. A vehicle may be provided with a manual transmission. The vehicle may be equipped with an automatically modulated clutch. A target parking space may be identified. The clutch may be modulated automatically through a controller to move the vehicle while scanning the target parking space. The vehicle may be automatically steered through the controller while simultaneously modulating the clutch automatically through the controller to move the vehicle into the target parking space.

A method is disclosed for suppressing or deactivating a lane keeping assist (LKA) system in a host vehicle. The method may include retrieving environmental data from a data gathering system, determining a current lane width based on the environmental data retrieved from the data gathering system, and comparing the current lane width with a pre-set lane width. The method may also include determining that the current lane width is smaller than the pre-set lane width, detecting the presence of an obstacle on the traveling path which obstacle will be passed by the host vehicle or which obstacle will pass the host vehicle within a pre-determined time period, and deactivating or suppressing the lane keeping assist (LKA) system.

A backward accident protection (BAP) system includes a video camera attached to the rear windshield of a vehicle. A microcomputer analyzes the camera image to assess the risk of a rear impacts. Upon detection of a potential rear impact, the BAP system initiates actions to reduce the severity of the potential rear impact.

A driver assistance system for a vehicle includes a plurality of sensors disposed at a vehicle and operable to detect objects at least one of ahead of the vehicle and sideward of the vehicle. The driver assistance system includes a data processor operable to process data captured by the sensors to determine the presence of objects ahead and/or sideward of the vehicle. Responsive to the data processing, the driver assistance system is operable to determine at least one of respective speeds of the determined objects and respective directions of travel of the determined objects. The driver assistance system is operable to determine respective influence values for the determined objects. Responsive to the respective determined speeds and/or directions of travel of the determined objects and responsive to the determined respective influence values, at least one path of travel for the vehicle is determined that limits conflict with the determined objects.

A vehicle collision avoidance assist apparatus executes a steering avoidance control of setting an avoidance route for avoiding the collision of the own vehicle with the object in a lane in which the own vehicle moves and executing an avoiding steering process of forcibly steering the own vehicle so as to move the own vehicle along the avoidance route when an index value representing a probability of collision of an own vehicle with an object ahead of the own vehicle becomes equal to or greater than a predetermined index value. The apparatus stops executing the steering avoidance control when the object is a moving object which moves in the same direction as a moving direction of the own vehicle, and a deceleration of the moving object becomes equal to or greater than a predetermined deceleration.

A vehicle collision avoidance assist apparatus executes a steering avoidance control of setting an avoidance route for avoiding the collision of the own vehicle with the object in a lane in which the own vehicle moves and executing an avoiding steering process of forcibly steering the own vehicle so as to move the own vehicle along the avoidance route when an index value representing a probability of collision of an own vehicle with an object ahead of the own vehicle becomes equal to or greater than a predetermined index value. The apparatus stops an execution of the steering avoidance control when a departing amount of the own vehicle from the avoidance route becomes equal to or greater than a predetermined departing amount while the electronic control unit executes the steering avoidance control. The predetermined departing amount is set for each of sections of the avoidance route.

A method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors. The path is configured to be updatable dynamically based on changes in the destination location or changes along the path. The destination location is a parking spot for the vehicle at the parking location.

A steering control method including: applying a steering reaction force obtained by adding a first steering reaction force according to a steering angle of a steering wheel and a second steering reaction force according to a steering angular acceleration of the steering wheel to the steering wheel; determining a possibility that an emergency steering operation of the steering wheel by a driver will be performed; and when it is determined that there is the possibility of the emergency steering operation being performed, making the second steering reaction force small compared with when it is not determined that there is the possibility of the emergency steering operation being performed.

An automotive arithmetic system includes a main arithmetic device that determines a target motion of a motor vehicle so that the motor vehicle travel on a route generated based on a vehicle external environment estimated using deep learning based on an output from a vehicle external information acquisition device; and a backup arithmetic device that determines a backup target motion for causing the motor vehicle to travel on a travel route which is generated based on the output from the vehicle external information acquisition device and which the traveling motor vehicle takes until the motor vehicle stops at a stop position that satisfies a preset criterion. The automotive arithmetic system outputs a backup control signal to actuators in preference to a control signal when the main arithmetic device fails.

An automotive arithmetic system includes a main arithmetic unit that generates a travel route using deep learning based on an output from a vehicle external information acquisition device; an auxiliary arithmetic unit that generates a rule-based travel route in a free space without using deep learning; a safe route generation unit that generates a safe route, which is a route that the motor vehicle takes until the motor vehicle stops at a safe stop position; and an override processing unit that prioritizes one of the travel route generated by the main arithmetic unit, the rule-based travel route generated by the auxiliary arithmetic unit, or the safe route generated by the safe route generation unit, and determines a target motion of the motor vehicle so that the motor vehicle travels on the prioritized route.