An information display apparatus may include a processor configured to display a display object in augmented reality; and a storage configured to store data and algorithms driven by the processor, wherein the processor determines a position of the display object by use of at least one of a total number of lanes or a number of lanes in a road in a driving direction of a host vehicle, possible traveling direction information for each lane, and driving direction information related to the host vehicle, and the information display apparatus is disposed within a vehicle or outside the vehicle, and when disposed outside the vehicle, is configured to transmit display information related to the display object to the vehicle or a mobile device.

A method of autonomous vehicle control, comprising: receiving an image of a lenticular human-imperceptible marker embedded in an element of an environment that an autonomous vehicle is moving in, the marker having a pattern usable for determining positional data of the moving vehicle, the image captured using human-invisible light, analyzing the received image of the human-imperceptible marker, and controlling the autonomous vehicle based on the analyzed image of the human-imperceptible marker.

A head-up display system for a vehicle includes at least one light source adapted to project an image upon an inner surface of a windshield of the vehicle, a driver monitoring system adapted to track a position of a driver's eyes, at least one non-visual sensor adapted to detect objects within an environment surrounding the vehicle, at least one image capturing device adapted to capture images of the environment surrounding the vehicle, and, a controller in communication with the at least one laser, the at least one non-visual sensor and the at least one image capturing device, the controller adapted to identify lane markers and objects within the environment surrounding the vehicle, determine the position of the vehicle within a lane of a roadway the vehicle is traveling upon, and, display, with the at least one light source, a lane position alert.

A method comprises: first, obtaining a to-be-recognized lane line image; then determining, based on the lane line image, a candidate pixel used to recognize a lane line region, to obtain a candidate point set, where the lane line region is a region of a location of a lane line in the lane line image and a surrounding region of the location of the lane line; then selecting a target pixel from the candidate point set, and obtaining at least three location points associated with the target pixel in a neighborhood, where the at least three location points are on one lane line; and finally, performing extension by using the target pixel as a start point and based on the at least three location points associated with the target pixel, to obtain a lane line point set corresponding to the target pixel.

A method for tracking a lane on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes generating, by the one or more processors, a predicted spline comprising (i) a first spline and (ii) a predicted extension of the first spline in a direction in which the imaging system is moving. The first spline describes a boundary of a lane and is generated based on the set of pixels. The predicted extension of the first spline is generated based at least in part on a curvature of at least a portion of the first spline.

The inventive concepts determines a threshold road slope based on camera information and lateral acceleration of a vehicle, estimates the road slope, compensates the estimated road slope to an ADAS driving convenience system, and thus prevents the vehicle from being inclined to the road slope in a section where a threshold road slope is present, thereby securing the driving stability of the vehicle by driving the vehicle in the middle of the lane on a road having the threshold road slope.

Provided is a control apparatus for a vehicle configured to perform driving support control when a driving support operation state is an on state, the control apparatus being further configured to, in a case where the driving support operation state is the on state and a driving operation switching request for changing the driving support operation state to an off state is issued, calculate a target speed at a driving operation switching time point at which the driving support operation state is changed from the on state to the off state, and perform deceleration control for decelerating the vehicle such that a speed of the vehicle matches the target speed at the driving operation switching time point.

Provided herein is control method of an electronic apparatus, including: identifying a line region from a driving-related image data of a vehicle; generating a line information corresponding to a lane where the vehicle is located from an image data of the identified line region portion; generating a position information of a lane where the vehicle is located, using at least one of the generated line information and the lane information of a road where the vehicle is located; and performing a driving-related guide of the vehicle using the generated lane position information.

The present disclosure provides a method for optimizing map data, a device and a storage medium, and in particular relates to artificial intelligence, intelligent transportation, smart cities and smart cockpits. A specific implementation is: performing a completeness detection of a lane line on received local map data comprising road condition information to obtain a detection result, the detection result comprising the lane line being complete or is the lane line having a missing area; in a case where the detection result is the lane line having the missing area, performing completion processing on the lane line having the missing area to obtain completed local map data; and performing a rationality detection on the completed local map data, and in a case of passing the detection, synthesizing the completed local map data with global map data to obtain an optimization result of map data.

A method that includes obtaining vehicle sensed environment information by at least one sensor of a vehicle; determining, by an initial location estimate module of the vehicle, an initial location estimate of the vehicle; obtaining, by processor of the vehicle, aerial map segment information related to a segment of an aerial map, the segment comprises an environment of the initial location estimate of the vehicle; determining, based on the vehicle sensed information and on the aerial map segment information, to perform the driving related operation within at least the environment of the initial location estimate of the vehicle; and performing the driving related operation.