A cleaner performing autonomous traveling includes a main body having a suction opening, a cleaning unit provided within the main body and sucking a cleaning target through the suction opening, a driving unit moving the main body, a camera sensor attached to the main body and capturing a first image, an operation sensor sensing information related to movement of the main body, and a controller detecting information related to an obstacle on the basis of at least one of the captured image and the information related to movement and controlling the driving unit on the basis of the detected information related to the obstacle.

The purpose of the present invention is to provide an imaging device capable of both improving object detection accuracy and reducing calculation load. The present invention comprises: a plurality of imaging units; an object information acquisition unit that obtains object information including distance information for objects; a search conditions setting unit that sets conditions for searching for image elements corresponding to specific image elements inside a standard image captured by one of the plurality of imaging units, same being searched for inside a reference image captured by another imaging unit; and a stereo distance detection unit that performs said search on the basis of conditions set by the search conditions setting unit and detects the object distance on the basis of parallax obtained by the search. The search conditions setting unit sets the search range for searches, on the basis of the detection information for the object.

A car may be equipped with a camera for detecting the movement of objects in the vicinity of the car. The camera may be used to capture a series of images. A number of target sample points may be defined in each image. The position of the target sample points may corresponding to the driver's blind spot or other region(s) of interest. The camera may also include separate filters for generating a long term pixel intensity output and a short term pixel intensity output at each of the target sample points. These long and short term average outputs may be compared to determine if a large change in intensity has occurred over a short period of time. The order of target activation can then be used to determine the direction of vehicle motion while filtering out noise or other road markings.

The invention relates to a method and a device for fusion of measurements from various information sources (I 1, I 2, . . . , I m) in conjunction with filtering of a filter vector, wherein the information sources (I 1, I 2, . . . , I m) comprise one or more environment detection sensor(s) of an ego vehicle, wherein in each case at least one measured quantity derived from the measurements is contained in the filter vector, wherein the measurements from at least one individual information source (I 1; I 2; . . . , I m) are mapped nonlinearly to the respective measured quantity, wherein at least one of these mapping operations depends on at least one indeterminate parameter, wherein the value to be determined of the at least one indeterminate parameter is estimated from the measurements of the different information sources (I 1, I 2, . . . , I m) and wherein the filter vector is not needed for estimating the at least one indeterminate parameter.

Provided are a mobility and a mobility system which enable a person who requires nursing care with a deteriorated bodily function or cognitive function to lead a life with greater independence. The drive and travel of the mobility by the travel drive unit are controlled by adjusting the current travel state of the mobility to an optimal travel state for ensuring safety while reflecting the user's intention based on the current operation instruction detected by the operation unit, the command signal generated by the voluntary control unit, the travel environment sensed by the environment sensing unit, and the respective types of environmental information acquired by the information acquisition unit.

An image processing apparatus includes a communication interface and a controller. The communication interface is configured to acquire a first video image capturing an outside area of a moving body. The controller is configured to cause a second video image corresponding to a display region of the first video image to be displayed on a display apparatus. The controller is also configured to detect at least a portion of a detection object in the display region of the first video image, determine whether one or more conditions are met based on a relative positional relationship between the moving body and the detection object and, when it is determined that the one or more conditions are met, cause a first marker corresponding to the detection object to be superimposed on the second video image and displayed on the display apparatus.

An integrated object formation unit of a vehicle control device forms integrated objects, which are integral objects, the boundaries of the integrated objects being determined from the positional relationship between two or ore objects in a prescribed distance range. An interference prediction unit of the vehicle control device predicts the probability of the integrated objects, instead of each of the objects, coming into contact with, or near, a vehicle.

The invention relates to a driving assistance system (3) for the longitudinal and/or lateral control of a motor vehicle, comprising an image processing device (31a) trained beforehand using a learning algorithm and configured so as to generate, at output, a control instruction (S.sub.com1) for the motor vehicle from an image (Im.sub.1) provided at input and captured by an on-board digital camera (2); a digital image processing module (32) configured so as to provide at least one additional image (Im.sub.2) at input of an additional device (31b), identical to the device (31a), for parallel processing of the image (Im.sub.1) captured by the camera (2) and said at least one additional image (Im.sub.2), such that said additional device (31b) generates at least one additional control instruction (S.sub.com2) for the motor vehicle, said additional image (Im.sub.2) resulting from at least one geometric and/or radiometric transformation performed on said captured image (Im.sub.1), and a digital fusion module (33) configured so as to generate a resultant control instruction (S.sub.com) on the basis of said control instruction (S.sub.com1) and of said at least one additional control instruction (S.sub.com2).

The purpose of the present invention is to provide an object detection device which is capable of accurately estimating the height of a road surface and is capable of reliably detecting an object present on the road surface. This object detection device 1 detects objects upon a road surface, and is equipped with: a stereo camera 110 for capturing images of the road surface 101a and the road shoulder 101b and generating image data; a three-dimensional data generation unit 210 for calculating disparity data for the pixels in the image data; a shoulder structure detection unit 310 for using the disparity data and/or the image data to detect shoulder structures; a structure ground-contact position derivation unit 410 for deriving the ground-contact position of a shoulder structure; a road surface position estimation unit 510 for estimating the height of the road surface 101a from the ground-contact position of the shoulder structure; and an object detection unit 610 for detecting an object 105 upon the road surface 101a by using the disparity data and the road surface height to separate disparity data corresponding to the road surface 101a and disparity data for the object.

In a server device, a specifying part is configured to, based on information acquired from a plurality of vehicles, specify a distribution target vehicle to which an image recognition logic for image recognition of a predetermined object is to be distributed, among the plurality of vehicles. A distribution part is configured to distribute the image recognition logic to the distribution target vehicle specified by the specifying part. An acquisition part is configured to acquire information on the predetermined object from the distribution target vehicle to which the image recognition logic has been distributed, the information on the predetermined object being recognized by executing the image recognition logic on a captured out-of-vehicle image of the distribution target vehicle.