The present invention relates to a vehicle control device provided in a vehicle and a method of controlling the vehicle. A vehicle control device according to one embodiment of the present invention includes a processor to autonomously run a vehicle using driving information that the vehicle has traveled in a manual driving mode, wherein the driving information includes a start place where the manual driving mode is started, an end place where the manual driving mode is ended, and a travel route from the start place to the end place, wherein the processor autonomously runs the vehicle along the travel route from the start place to the end place when the vehicle has moved up to the start place through manual driving.

A method for detecting an obstruction vertical clearance associated with an obstruction positioned in front of a vehicle-attachment system is provided. The vehicle-attachment system includes a vehicle and an attachment. The method includes receiving forward sensor data from a forward sensor system having a forward field-of-view. The method includes determining the obstruction vertical clearance of the obstruction based on the forward sensor data. The method also includes receiving rearward sensor data from a rearward-facing sensor system having a rearward field-of-view. Additionally, the method includes determining a vehicle-attachment system height based on the rearward sensor data. The method includes comparing the obstruction vertical clearance and the vehicle-attachment system height. The method also includes transmitting to a user interface, instructions to notify a driver of the vehicle the result of the comparison between the obstruction vertical clearance and the vehicle-attachment system height.

A driving system for a vehicle includes: an input unit configured to receive user input from a user; an interface configured to acquire vehicle driving information and to acquire information from one or more devices provided in the vehicle; at least one processor; and a computer-readable medium having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations including: acquiring information from the one or more devices; determining that the vehicle is to be autonomously driven in absence of a set destination; determining at least one of a first time period or a first distance based on the acquired information; identifying a first area based on at least one of the first time period or the first distance; and providing a control signal configured to autonomously drive the vehicle within the first area.

A system for sparse map autonomous navigation of a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive a sparse map of the road segment. The sparse map may have a data density of no more than 1 megabyte per kilometer. The at least one processor may be programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map and the at least one image received from the camera.

A vehicle driving assist apparatus of the invention does not execute a road end line departure prevention control when a next lane vehicle traveling in a next lane is acquired as a road end line and an amount of an operation input to a steering wheel of an own vehicle to cause the own vehicle to move into the next lane, is larger than or equal to a predetermined operation amount.

Systems and methods navigate a vehicle on a road with snow covering at least some lane markings and road edges. In one implementation, a system may include at least one processor programmed to receive from an image capture device, at least one environmental image forward of the vehicle, including areas where snow covers at least some lane markings and road edges, identify, based on an analysis of the at least one image, at least a portion of the road that is covered with snow and probable locations for road edges bounding the at least a portion of the road that is covered with snow, and cause the vehicle to navigate a navigational path that includes the identified portion of the road and falls within the determined probable locations for the road edges.

Aspects of the present disclosure describe systems, methods, and devices for automated vehicular control based on glare detected by an optical system of a vehicle. In some aspects, automated control includes controlling the operation of the vehicle itself, a vehicle subsystem, or a vehicle component based on a level of glare detected. According to some examples, controlling the operation of a vehicle includes instructing an automatically or manually operated vehicle to traverse a selected route based on levels of glare detected or expected along potentials routes to a destination. According to other examples, controlling operation of a vehicle subsystem or a vehicle component includes triggering automated responses by the subsystem or the component based on a level of glare detected or expected. In some additional aspects, glare data is shared between individual vehicles and with a remote data processing system for further analysis and action.

A narrow-passage assistance system is provided for a motor vehicle having at least one electronic control unit, which detects a narrow passage in the form of the presence of two objects that restrict the ego-vehicle on both sides in accordance with signals of various sensors known per se for sensing lateral obstacles and which controls transverse positioning of the ego-vehicle between the two objects by at least one transversely-guiding actuator. The control unit contains a transverse guidance module, which is designed such that the transverse guidance module can distinguish between dynamic and static objects. If a static object is detected on one side of the ego-vehicle and a dynamic object is detected on the other side of the ego-vehicle, transverse positioning of the ego-vehicle closer to the static object is performed if necessary. The transverse guidance module is also designed such that the transverse guidance module distinguishes between soft and hard objects. If a hard object is detected on one side and a soft object is detected on the other side, transverse positioning of the ego-vehicle closer to the soft object is performed.

Aspects of the disclosure relate generally to detecting and avoiding blind spots of other vehicles when maneuvering an autonomous vehicle. Blind spots may include both areas adjacent to another vehicle in which the driver of that vehicle would be unable to identify another object as well as areas that a second driver in a second vehicle may be uncomfortable driving. In one example, a computer of the autonomous vehicle may identify objects that may be relevant for blind spot detecting and may determine the blind spots for these other vehicles. The computer may predict the future locations of the autonomous vehicle and the identified vehicles to determine whether the autonomous vehicle would drive in any of the determined blind spots. If so, the autonomous driving system may adjust its speed to avoid or limit the autonomous vehicle's time in any of the blind spots.

Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. A system may comprise a processor and a memory. The memory may include instructions, which when executed on the processor, cause the processor to maintain a map; determine, based on analysis of image data, an existence of a non-transient condition that is inconsistent with the map, the image data from a camera integrated with the autonomous vehicle; and update the map.