Systems and methods to identify an attention region in sensor-based detection involve obtaining a detection result that indicates one or more detection areas where one or more objects of interest are detected. The detection result is based on using a first detection algorithm. The method includes obtaining a reference detection result that indicates one or more reference detection areas where one or more objects of interest are detected. The reference detection result is based on using a second detection algorithm. The method also includes identifying the attention region as one of the one or more reference detection areas without a corresponding one or more detection areas. The first detection algorithm is used to perform detection in the attention region.

The vehicle safety video system is an electrical device. The vehicle safety video system is configured for use with a vehicle. The vehicle comprises an anterior side, a posterior side, and anterior windshield, a posterior windshield, and a VECU. The VECU further comprises a VECU brake signal. The vehicle safety video system captures one or more captured images from an anterior field of view of the vehicle. The vehicle safety video system displays the one or more captured images through the posterior windshield. The vehicle safety video system displays the one or more captured images such that the posterior windshield remains semitransparent during the display of the one or more captured images. The vehicle safety video system comprises a video circuit and the vehicle. The vehicle contains the video circuit. The video circuit captures and displays the one or more captured images.

A vehicular vision system includes a forward viewing camera disposed at and viewing through a windshield of a vehicle. A driver viewing camera is disposed in the vehicle and views the driver's eyes. A control, responsive to processing of image data captured by the forward viewing camera to determine a light source ahead of the vehicle, and responsive to processing of image data captured by the driver viewing camera to determine a gaze direction of the eyes of the driver, determines a forward view path between the driver's eyes and the determined light source and determines a location where the determined forward view path intersects the windshield. The control, responsive to the determined light source having an intensity greater than a threshold level, controls the windshield to locally darken a region of the windshield that includes the location where the determined forward view path intersects the windshield.

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.

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, 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, and to identify presence of a substantially upright object based on the set of pixels.

An image processing apparatus includes an input interface to acquire an image, and first to fourth controllers. The first controller performs image processing on the image. The second controller performs correction on an optical distortion in the image. The third controller performs recognition on the image. The fourth controller superimposes a result of the recognition onto the image and outputs a resulting image. The first controller can perform first and second image processing. The second controller can perform first and second correction processing. The third controller receives an input of the image, and outputs information indicating a location of a recognized object. The fourth controller receives an input of the image, and superimposes a drawing indicating the location of the recognized object onto a corresponding location in the image.

Systems and methods to improve safety and more efficient Advanced Driver Assistance Systems (ADAS) and autonomous vehicle (AV) systems for vehicular operation through the application of multiple thermal sensors arranged in systems where the resolution, Field Of View (FOV), and aiming angle of individual sensors are varied. In particular two configurations are discussed in detail, a three-sensor arrangement for forward and forward off angle data acquisition, and a two or three sensor arrangement for blind spot and pinch point awareness for towing applications. In some forward-looking three-sensor embodiments, the center sensor may provide a high-quality narrow field of view of radiometric data for use with tracking algorithms to identify pedestrian and large animal targets for long range driver identification. The side sensors may provide radiometric data for peripheral vision on short/medium range approaching targets for situational awareness at crosswalks and turning corners.

A display control device includes a processor; and a non-transitory computer-readable medium having stored thereon executable instructions that, when executed by the processor, cause the display control device to function as: an obstacle identifying part that identifies an obstacle area; a driver information acquiring part that acquires driver information; a blocked area identifying part that identifies a blocked area based on driver information; a blocked area ratio calculating part that calculates a blocked area ratio; and a display controlling part that controls the image on the displaying part. The display controlling part is configured to display a driver's point of view image obtained by converting a viewpoint of the image captured by the imaging part based on the driver information when the blocked area ratio equals to a predetermined value or higher; and not to display it when the blocked area ratio is less than the predetermined value.

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.

A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a cab installed on the upper turning body, a display device installed in the cab, and image capturing devices attached to the upper turning body. The display device is configured to simultaneously display a left mirror image and a right mirror image generated based on an image captured by at least one of the image capturing devices. The left mirror image is an image corresponding to a mirror image in a left mirror attached to the left front end of the shovel. The right mirror image is an image corresponding to a mirror image in a right mirror attached to the right front end of the shovel.