A video record system and an operation method thereof are provided. The video record system includes at least one camera and a controller connected with the at least one camera. The controller records a video around a vehicle using the at least one camera, records location information of the vehicle when recording the video, and provides a list of videos recorded according to a driving situation of the vehicle.

An example apparatus includes at least one processor and at least one memory coupled to the at least one processor and storing programming instructions for execution by the at least one processor to: obtain map data at a current moment, where the map data includes a first road area at the current moment, the special road condition is located in the first road area, the first road area is obtained based on a road condition model and a vehicle parameter within a preset time period before the current moment, and the road condition model represents a correspondence between a feature of the vehicle parameter and the special road condition; and determine, based on a planned route of a vehicle, that a second road area exists in the planned route of the vehicle, where the second road area is in the first road area.

A control method and control system of a mobile device perform a route guidance and POI guidance using a POI database for a commercial navigation and a POI database for AR, and enable seamless transition between commercial navigation services and AR services by removing the dependency of data through data exchange between the POI database for commercial navigation and the POI database for AR. The control method includes receiving a selection of destination; executing one of a first route guidance mode based on non-AR and a second route guidance mode based on AR, based on the selected destination; and providing a route guidance service based on AR by switching from the first route guidance mode to the second route guidance mode, in response to that a remaining distance or remaining time from a location of the mobile device to the selected destination approaches within a predetermined distance or predetermined time.

An embodiment augmented reality (AR)-based point of interest (POI) guide method includes performing a plane detection with respect to an actual image in an area around a POI, forming a grid in the area where the plane detection of the actual image is performed, and displaying an anchor and a highlight at a position of the POI based on the grid.

Techniques enable selection of traffic cameras for display to a user, where the techniques involve determining a primary route and an alternate route, determining a first intersection between the primary route and the alternate route, and obtaining camera metadata identifying multiple cameras, where the camera metadata defines aspects such as positioning data, direction, status data, and image data for individual traffic cameras. The techniques also involve determining a priority score for individual cameras using the camera metadata, where the priority score is based, at least in part, on proximity to the first intersection between the primary route and the alternate route. The techniques then involve selecting at least one traffic camera based on the priority score of the camera and communicating image data of the camera for display on a display device.

The use of predefined (pre-built) graphical representations of roads for autonomous driving of vehicles and display of route planning.

The present invention relates to a method of generating and using a new data set for a novel technique of autonomous vehicle driving and route planning display using a predefined graphic representation/definition/illustration of the vehicle surroundings, in combination with the actual view sighted and captured by video cameras from the vehicle (for example, a dashboard camera). This method is primarily based on the use of the predefined graphic representation of the actual visual scene that is sighted from a host vehicle on roads at known GPS locations.

The main feature of this disclosure is the use of a predefined and simplified graphic illustration of the actual view experienced from vehicles on roads. This data is prepared in advance, stored in a cloud-based facility, and can be accessed by any vehicle.

The method comprises at least one video camera mounted in the vehicle, a module for accessing the predefined graphic visualization of the road and its surroundings, a module for defining the exact position and direction of the host vehicle on the predefined graphic view of the road, based on the use of GPS in combination with the identification of the surrounding characteristics of the road, a module continuously aligning the graphic view with the real view filmed by the video camera and for displaying the graphic visualization of the real view filmed by a forward facing camera.

The present invention relates to a new method for generating data that can be used in the vehicle's autopilot and for displaying route planning.

Numerous variations and modifications of the invention may be considered other than those described herein without departing from the spirit and scope of the present invention. This invention should not be limited by the specific details described herein.

A method of operation of a vehicle system including capturing a current image from a current location towards a travel direction along a travel path; generating an image category for the current image based on a weather condition, the current location, or a combination thereof; determining a clear path towards the travel direction of the travel path based on the image category, the current image, and a previous image; and communicating the clear path for assisting in operation of a vehicle.

An information processing apparatus comprises a storage configured to store navigation-related information; and a controller configured to execute: predicting a course of a vehicle based on at least the navigation-related information, and projecting a first image related to the predicted course onto a road surface located in front of the vehicle.

In one embodiment, a method includes receiving sensor data of an environment of the vehicle generated by one or more sensors of the vehicle, the sensors comprising a camera, identifying, based on the sensor data, one or more objects in a field of view of the camera and one or more object types that correspond to the one or more objects, determining one or more target histograms that correspond to the object types, generating a processed image based on an image captured by the camera, wherein the processed image has a histogram based on the target histograms, and using the processed image to determine state information associated with the objects. The processed image may be generated by processing the image captured by the camera using a histogram matching algorithm to generate the histogram of the processed image based on the target histograms.

The present invention relates to a video output device mounted on a vehicle to implement augmented reality, and a method for controlling the same. The video output device comprises: a video output unit for outputting visual information for implementing the augmented reality; a communication unit for receiving a front video captured of the front of the vehicle; and a processor for investigating, in the front video, at least one to-be-driven lane on which the vehicle is to be driven, and controlling the video output unit such that main carpet images guiding the to-be-driven lanes are output lane by lane.