A control device of an automatic drive vehicle includes: an information acquisition unit that acquires power generator information as information on a power generator provided in the automatic drive vehicle; an operation control unit that switches between a first state in which automatic driving of the automatic drive vehicle is executed without restriction and a second state in which the automatic driving is partially or entirely restricted; and a determination unit that determines whether to perform switching to the second state by the operation control unit.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable causes of the accident types. In response to determining accident types and causes/probable causes of the accident types over the travel route, adjustments can be made to the driving actions planned for the autonomous vehicle over the travel route. In addition, in an embodiment, historical accident information can be used to analyze available travel routes and select a route which presents less risk of accident than others.

A route guidance apparatus includes: a reservation information communications unit to receive reservation information which includes at least one of a parking-reserved space of the parking lot, a vehicle type, a vehicle number, and a parking time; a reserved vehicle recognition unit to recognize a vehicle number of a reserved vehicle and determine whether the reserved vehicle enters or exits the parking lot; a traffic flow determination unit that divides an area of each floor of the parking lot into a plurality of unit areas and calculates density within the parking lot based on the number of vehicles within each divided unit area; and a parking route generation unit and an exit route generation unit that respectively generate an optimal parking route and an optimal exit route based on the calculated density; and a route guidance unit to provide the user with the generated optimal parking and exit routes.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.

Disclosed are apparatuses and methods for controlling the steering of an autonomous vehicle. The apparatus including an electric power steering device to generate an assist torque for a steering wheel, an autonomous driving position controller to control a steering position according to a command steering angle input from an autonomous driving module, a driver steering intervention judger to judge whether a driver intervenes in steering based on a column torque and a vehicle speed, a weight detector to detect a weight for integrating output of an electric power steering device and output of an autonomous driving position controller based on judging whether the driver intervenes in steering, and an output controller to apply the weight to the output of the electric power steering device and the output of the autonomous driving position controller to integrate the output of the electric power steering device and the output of the autonomous driving position controller, wherein the autonomous driving position controller is further configured to adjust a gain value for controlling the steering position by applying the weight.

A lane departure avoidance device includes a control unit that executes a lane departure prevention control by at least one of automatically turning a turning wheel and issuing an alarm, when it is determined that there is a possibility that a vehicle crosses a lane border and a driver has no intention of performing a lane departure, and that suspends executing the lane departure prevention control, when it is determined that there is a possibility that the vehicle crosses the lane border and the driver intentions to perform the lane departure. The control unit continues to suspend executing the lane departure prevention control, when it is determined that there is another lane border on a side that the vehicle approaches and that a distance from the vehicle to the other lane border is a reference distance or more, in a situation where executing the lane departure prevention control is suspended.

A vehicle drive assist apparatus for avoiding collision of a vehicle with a recognized object recognizes a surrounding environment around the vehicle; acquires feature information of a three-dimensional object in the surrounding environment; sets a traveling path of the vehicle based on the surrounding environment; recognizes an aerial object based on the feature information; identify a type of the aerial object based on the feature information; determines whether the aerial object has a possibility of hindering traveling of the vehicle; performs steering control based on a control signal; continues normal traveling control when the aerial object does not have the hindrance possibility; estimates a falling point of the aerial object when the aerial object has the hindrance possibility; when the falling point is on the traveling path of the vehicle, sets a new traveling path to steer around the falling point and executes traveling control along the new traveling path.

A vehicle driving support apparatus includes a forward environment recognizing device configured to recognize a traveling environment forward of a vehicle, a control device configured to perform adaptive cruise control and active lane keep centering control based on the recognized traveling environment, an electric power steering device configured to control a turning angle of wheels in a ganged manner in accordance with a steering angle received from a steering handle, and a driver monitoring system configured to detect changes in biological information of a driver who drives the vehicle. When the driver monitoring system detects a drop in alertness of the driver, the control device is configured to perform the adaptive cruise control and the active lane keep centering control and execute a steering handle idle mode that stops the electric power steering device from controlling the turning angle in the ganged manner in accordance with the steering angle.