Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels. The processing device is also programmed to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude. The processing device is further programmed to identify presence of a substantially upright object based on the set of pixels.

Provided is a vehicle periphery monitor device for accurately distinguishing between and detecting two side-by-side pedestrians and a vehicle that is lighting lights. With regard to a pedestrian candidate having at least two head candidates, a reference image creation unit creates the peripheral image of one of the head candidates as a reference image and creates an inverted image in which the right and left sides of the reference image are inverted. An object determination unit sets the peripheral image of the other heat candidate as a comparative image, and determines whether the head candidates are the pedestrians or the vehicle on the basis of the consistency of the reference image and the inverted image relative to the comparative image.

A display device mounted on a vehicle includes an image generation device configured to project image light that is light including an image toward a projection area on a front windshield, a target information acquirer configured to acquire at least a position of a target present around the vehicle, and a controller configured to control the image generation device. The controller determines whether or not the target is in a space area of a destination passing through the projection area as viewed from an occupant of the vehicle, in a case in which the target is in the space area of the destination passing through the projection area as viewed from the occupant of the vehicle, the controller causes the image generation device to project the image light that appears to be superimposed on the position of the target, and in a case in which the target is not in the space area of the destination passing through the projection area as viewed from the occupant of the vehicle, the controller causes the image generation device to project the image light notifying of presence of the target in the projection area.

A collision avoidance and/or pedestrian detection system for a large passenger vehicle such as commuter bus, which includes one or more exterior and/or interior sensing devices positioned strategically around the exterior and interior of the vehicle for recording data, method for avoiding collisions and/or detecting pedestrians, and features/articles of manufacture for improving same, is described herein in various embodiments. The sensing devices may be responsive to one or more situational sensors, and may be connected to one or more interior and/or exterior warning systems configured to alert a driver inside the vehicle and/or a pedestrian outside the vehicle that a collision may be possible and/or imminent based on a path of the vehicle and/or a position of the pedestrian as detected by one or more sensing devices and/or situational sensors.

A vehicular camera system includes a black-out layer disposed at an upper central region of a windshield as installed in a vehicle, an attachment member configured for attachment at the upper central region of the windshield where the black-out layer is disposed, and an accessory module including a camera. The accessory module is configured to detachably mount at the attachment member at the windshield such that the lens of the camera is spaced from the windshield, and such that the camera views forward of the vehicle through an aperture in the black-out layer via a tapered structure that is widest at the windshield and that tapers from the windshield towards where the lens of the camera is located. The tapered structure is at an acute angle relative to the vehicle windshield. The camera captures image data for a driver assistance system of the equipped vehicle.

The present technology relates to an image processing apparatus and an image processing method that can appropriately set an attention area in an image on which image correction processing is performed. An image processing apparatus according to an aspect of the present technology includes a speed detecting section that detects a moving speed of the mobile body; an attention area setting section that sets an attention area to an image imaged in an advancing direction of the mobile body on the basis of the moving speed detected; and an image correction processing section that performs the predetermined image correction processing on the image on the basis of a pixel value of a pixel belonging to the attention area on the image. The present technology is applicable to, for example, a vehicle-mounted sensor.

There are provided an apparatus, a method, and an autonomous moving body which allow a recognition target to be notified with certainty that the recognition target is recognized by an autonomous moving body. A recognition result presenting apparatus according to an embodiment of the present disclosure detects a recognition target (person) present within a predetermined range from an automatic driving vehicle and presents, to the detected recognition target (person), the result of recognition indicating that the automatic driving vehicle recognizes the recognition target (person).

Provided is a vehicle periphery monitoring device that can appropriately recognize a monitored subject that is present at a periphery of a vehicle and notify a driver, while suppressing computational amount and the amount of memory usage. In a case where a monitored subject W detected in a past captured image is not detected in a latest captured image (NO in FIG. 2B/STEP 7), an alert process unit 13 to 16 estimates whether or not the monitored subject W is present in a notification region D2 in a real space based on the past captured image (FIG. 2B/STEP 11 to FIG. 2B/STEP 13 and FIG. 2B/STEP 15 to FIG. 2B/STEP 16) and notifies the driver when the monitored subject W is estimated to be present in the notification region D2 (FIG. 2B/STEP 14).

A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

The present invention relates to a pedestrian recognition apparatus. A pedestrian recognition apparatus may comprises: an image receiving unit configured to sequentially receive a plurality of images from a camera; and a pedestrian determination unit configured to perform a pedestrian candidate object detection process of detecting a pedestrian candidate object from one or more objects in the images, a mobility determination process of determining whether the pedestrian candidate object is moving, using the plurality of images, and setting the pedestrian candidate object to a moving pedestrian candidate object, and a pedestrian possibility determination process of performing a predefined operation on the moving pedestrian candidate object, and setting the moving pedestrian candidate object to a pedestrian when a value calculated through the predefined operation is equal to or more than a threshold value.