Camera device and method for capturing a surrounding region of a vehicle in a situation-adapted manner

10798319 ยท 2020-10-06

Assignee

Inventors

Cpc classification

International classification

Abstract

A camera device includes an optronics system and an image capture control unit, for acquiring a sequence of images of a surrounding region of a vehicle. The optronics system includes a wide-angle optical system and a high-resolution image acquisition sensor. The optronics system and the image capture control unit are configured to generate a reduced-resolution binned image of the entire capture region of the optronics system, or to capture an unbinned high-resolution image of a subregion of the capture region, respectively for each individual image of the sequence of images, depending on a current traffic and/or surrounding situation. A height and a width of the subregion are set depending on the current situation. A size of the subregion is set such that the pixel count of the high-resolution image of the subregion is no greater than the pixel count of the reduced-resolution image of the entire capture region.

Claims

1. A camera device for capturing a surrounding region of a vehicle, the camera device comprising: an optronics system and an image capture control unit, which are configured to acquire a sequence of images of the surrounding region, wherein: the optronics system comprises a wide-angle optical system and a high-resolution image acquisition sensor, and the optronics system and the image capture control unit are configured: to produce, respectively for each individual image of the sequence of images, either a reduced-resolution image as a binned image, which has a reduced resolution that is reduced by pixel binning, of an entire capture region of the optronics system, or a high-resolution image as an unbinned image with a maximum resolution of a subregion of the capture region of the optronics system, depending on a current traffic and/or surrounding situation, wherein an image height and an image width of the subregion in the high-resolution image are set depending on the current traffic and/or surrounding situation, and wherein a size of the subregion is set such that a pixel count of the high-resolution image of the subregion is no greater than a pixel count of the reduced-resolution image of the entire capture region of the optronics system; and to control the image height and/or the image width of the subregion in a current image of the sequence of images in response to a recognized content that is recognized in at least one previous image of the sequence of images.

2. The camera device according to claim 1, wherein the optronics system and the image capture control unit are configured to acquire the sequence of images so that a center point of each said subregion is identical to a center point of the entire capture region of the optronics system.

3. The camera device according to claim 1, wherein the optronics system and the image capture control unit are configured to shift a vertical position of the subregion as a function of the current traffic and/or surrounding situation.

4. The camera device according to claim 3, wherein the optronics system and the image capture control unit are configured to shift a horizontal position of the subregion as a function of the current traffic and/or surrounding situation.

5. The camera device according to claim 1, wherein the optronics system and the image capture control unit are configured to acquire the sequence of images so that the pixel count of the high-resolution image of the subregion amounts to 2.5 megapixels at most.

6. The camera device according to claim 1, wherein the optronics system and the image capture control unit are configured to acquire the sequence of images so that the pixel count of the high-resolution image of the subregion is constant during acquisition of the sequence of images of the surrounding region.

7. The camera device according to claim 1, wherein a prediction of the recognized content for the current image is taken into account for controlling the image height and/or the image width of the subregion.

8. The camera device according to claim 1, wherein the optronics system and the image capture control unit are configured to acquire the sequence of images so that the sequence of images includes, periodically alternatingly, the reduced-resolution image of the entire capture region and the high-resolution image of the subregion.

9. A method of capturing a surrounding region of a vehicle by an optronics system, wherein the optronics system comprises a wide-angle optical system and a high-resolution image acquisition sensor, and the method comprises acquiring a sequence of images of the surrounding region, which includes: of e ego-vehicle, producing, respectively for each individual image of the sequence of images, either a reduced-resolution image as a binned image, which has a reduced resolution that is reduced by pixel binning, of an entire capture region of the optronics system, or a high-resolution image as an unbinned image with a maximum resolution of a subregion of the capture region of the optronics system, depending on a current traffic and/or surrounding situation, a setting an image height and an image width of the subregion respectively in each said high-resolution image depending on the current traffic and/or surrounding situation, setting a size of the subregion such that a pixel count of the high-resolution image of the subregion is no greater than a pixel count of the reduced-resolution image of the entire capture region of the optronics system, and controlling the image height and/or the image width of the subregion in a current image of the sequence of images in response to a recognized content that is recognized in at least one previous image of the sequence of images.

10. The camera device according to claim 1, wherein the optronics system and the image capture control unit are configured to shift a horizontal position of the subregion as a function of the current traffic and/or surrounding situation.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) Exemplary embodiments of the invention are explained in greater detail below with reference to schematic drawings.

(2) FIG. 1 is a schematic diagram representing two types of images acquired with the camera device;

(3) FIG. 2 is a schematic diagram representing different regions of interest (ROI) that can be captured in respective corresponding images; and

(4) FIG. 3 is a schematic diagram representing an example embodiment a camera device including an optronics system and an image capture control unit according to the invention.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS OF THE INVENTION

(5) FIG. 3 schematically represents an embodiment of a camera device 10 for capturing a surrounding region of a vehicle. The camera device 10 comprises an optronics system 11 and an image capture control unit 12, which are configured to acquire a sequence of images of the surrounding region. The optronics system 11 comprises a wide-angle optical system 13 and a high-resolution image acquisition sensor 14.

(6) With further reference to FIGS. 1 and 2, the optronics system 11 and the image capture control unit 12 are configured to generate a reduced-resolution image 6, the resolution of which is reduced by pixel binning, of the entire capture region of the optronics system 11, or to capture a high-resolution image of a subregion 1, 2, 3, 4, 5 of the capture region of the optronics system 11 with maximum resolution, respectively for each individual image of the sequence of images. The optronics system 11 and the image capture control unit 12 are further particularly configured to either generate the reduced-resolution image as a binned image 6 with reduced resolution of the image acquisition sensor 14, or capture the high-resolution image as an unbinned image of the subregion 1, 2, 3, 4, 5, depending on a current traffic and/or surrounding situation. The image height and the image width of the subregion 1, 2, 3, 4, 5 are set depending on the current situation. The size of the subregion 1, 2, 3, 4, 5 is set such that the pixel count of the high-resolution image of the subregion 1, 2, 3, 4, 5 is no greater than the pixel count of the reduced-resolution image 6 of the entire capture region of the optronics system 11.

(7) FIG. 1 illustrates a method which serves as a starting point: Over the timed changeover, frames (F) are acquired with the camera device: unbinned images 5 from a region with center point A (A is identical to the center point of the field of view of the camera device) with maximum resolution, half the width and height of the FoV binned images 6 at half resolution (horizontal and vertical) of the full field of view of the camera device.

(8) FIG. 2 illustrates aspects of an exemplary embodiment of the solution, namely an adaptive ROI control unit.

(9) The ego-vehicle (not shown) is currently driving through an urban area. In an urban area, it is important to provide and analyze regular up-to-date images of the entire capture region of the optronics system, since relevant objects, for example pedestrians, intersecting vehicles or overhead traffic lights or traffic signs, may also emerge in the peripheral regions of the field of view of the optronics system. As soon as relevant objects are detected, a maximum-resolution image of a subregion of the capture region of the optronics system may be captured, in accordance with the current situation, so that the object is recognized quickly and reliably.

(10) If no relevant object is currently detected, a subregion such as that defined in FIG. 1 by reference sign 5 could be captured, by which more distant objects may be detected (earlier), since the subregion is captured with maximum resolution by the optronics system. For as long as no relevant object is detected, the high-resolution central sub-region 5 could for example be captured as every fourth image of the sequence of images. Alternatively, periodically alternatingly binned and unbinned images could be generated or captured.

(11) In the situation depicted in FIG. 2, the ego-vehicle is located directly at an intersection, it being assumed, for the sake of simplicity, that the ego-vehicle is at a standstill.

(12) A traffic light is located in the upper region of the field of view (i.e. of the capture region) of the camera device. In the right-hand region of the field of view, a second vehicle is located, which is joining the intersection from the right or will enter it in the future. Taking the approach explained with reference to FIG. 1, the image portion 3 shown with dotted lines (maximum resolution, comparable to an unbinned image 5 in FIG. 1) would be captured as an unbinned ROI. However, the full driving situation cannot be inferred from this region: the second vehicle is not included in this ROI 3 at all and only the bottommost edge of the traffic lights.

(13) In contrast, with a situation-adapted ROI selection for example the second vehicle may be completely captured with the image portion 1 or at least in part with the image portion 2 or the traffic light may likewise be completely captured with the image portion 4.

(14) Thus, image capture control could in this situation proceed such that a binned overview image of the full imager area is generated and analyzed as first image. In a second image, the subregion 4 is captured and analyzed unbinned, from which it may for example be inferred whether the traffic light is currently green.

(15) In a third image, a binned overview image is again generated, in order for example to be able to detect whether the second vehicle (on the right in the image) has moved or whether a new road user has emerged on the left. If movement of an object is detected in the third image (for example by comparison with the first image), a prediction of object movement may be made for capture of the fourth image, in order to adapt the subregion to be captured in such a way that the object is fully captured in the fourth image (and with maximum resolution).

(16) In the fourth image, the subregion 1 is captured unbinned, for example in order to confirm that the second vehicle is stationary to the right, i.e. has not moved, and if the ego-vehicle moves in a straight line there is no risk of collision with the second vehicle.

(17) In only four images, the overall situation (or driving situation), insofar as is apparent through the capture region of the optronics system, may be completely captured and understood through the corresponding analysis of the individual binned and/or unbinned images. In this driving situation, the ego-vehicle may commence or continue its journey without risk.