A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.

The present invention provides a method of generating a robust global map using a plurality of limited field-of-view cameras to capture an environment.

Provided is a method for generating a three-dimensional map comprising: receiving a plurality of sequential image data wherein each of the plurality of sequential image data comprises a plurality of sequential images, further wherein the plurality of sequential images is obtained by a plurality of limited field-of-view image sensors; determining a pose of each of the plurality of sequential images of each of the plurality of sequential image data; determining one or more overlapping poses using the determined poses of the sequential image data; selecting at least one set of images from the plurality of sequential images wherein each set of images are determined to have overlapping poses; and constructing one or more map portions derived from each of the at least one set of images.

An image processing device acquires a probability value and corresponding coordinates by using a learned model that outputs a probability value indicating an existence probability of a road boundary for each of coordinates in an image in response to an input of the image representing an area in front of a mobile object, captured by a camera mounted on the mobile object, rearranges a plurality of coordinates in descending order of the probability value, iteratively updates parameters of a function that approximates the road boundary in the image using the plurality of coordinates in the rearranged order, and executes driving control or driving assistance of the mobile object on the basis of the road boundary approximated by the function defined by the updated parameters.

A white line recognition device includes a storage medium storing computer-readable instructions and a processor connected to the storage medium, the processor executing the computer-readable instructions to recognize a linear feature located in an image captured by a monocular camera as a contour of a white line drawn on a road surface, and detect a linear object located at a distance from the road surface based on an output of a distance measurement sensor provided to have at least a detection range in the same direction as the monocular camera. Recognizing the linear feature includes preventing the linear feature from being recognized as the contour of the white line.

An image processing device divides an image representing an area in front of a mobile object, which is captured by a camera mounted on the mobile object, at predetermined intervals to generate an element function that approximates a track boundary in each of divided areas on the basis of: a probability value indicating an existence probability of the track boundary for each of coordinates in each of the areas; and the coordinates corresponding to the probability value, generates a composite function that approximates a track boundary in the front area by combining the element functions generated for each of the areas, and executes driving control or driving assistance of the mobile object on the basis of the track boundary approximated by the generated composite function.

A reproduction system includes an external detection unit configured to acquire external information of an own vehicle, a vehicle sensor configured to acquire vehicle information of the own vehicle, a storage medium storing computer-readable instructions, and at least one processor connected to the storage medium, the at least one processor executing the computer-readable instructions to generate external time-series data indicating an external situation of the own vehicle in time series based on the external information, generate vehicle time series data indicating a driving situation of the own vehicle in time series based on the vehicle information, generate, based on the external time-series data and the vehicle time-series data, a moving image that reproduces a movement history of the own vehicle at a specific traffic location, and cause a display device to display the moving image.

Systems and methods are disclosed for identifying landmarks. A method for identifying a landmark may include initiating identification of a landmark based on one or more images from a camera, for use in autonomous vehicle navigation, the landmark including a traffic sign; initiating updating a road model with a location of the landmark; and initiating distribution of the road model with the location of the traffic sign to a plurality of autonomous vehicles.

A method for displaying lane information on an augmented reality display includes receiving roadway data. The roadway data includes information about a roadway along a route of a vehicle. The roadway includes a plurality of lanes. The roadway data includes lane information about at least one of the plurality of lanes along the route of the vehicle. The method further includes receiving vehicle-location data. The vehicle-location data indicates a location of the vehicle. The method further includes determining that that the vehicle is approaching a road junction using the vehicle-location data and the roadway data. The method further includes, in response to determining that the vehicle is approaching the road junction, transmitting a command signal to a dual-focal plane augmented reality display to display at least one virtual image that is indicative of the lane information.

A system for monitoring a position of a vehicle in a lane of a road, the system comprising: a processor; a first camera configured to output first image data relating to a surface of the road on a first side of the vehicle; a second camera configured to output second image data relating to a surface of the road on a second side of the vehicle, wherein the processor is configured to determine if the vehicle is at risk of straying outside the lane based on the first image data or the second image data and auxiliary data received by the processor

The present disclosure relates to systems and methods for identifying one or more target roads. The systems may perform the methods to obtain a heat map associated with a plurality of driving track points along a plurality of roads in a target region, wherein the plurality of roads includes one or more target roads and one or more reference roads; obtain a road network map associated with the one or more reference roads in the target region; produce an intermediate heat map by: eliminating pixels in the heat map corresponding to the one or more reference roads in the road network map, eliminating background pixels corresponding to background of the heat map, and thinning the heat map; and determine start coordinate information and end coordinate information associated with the one or more target roads based on the intermediate heat map according to a linear transformation.