US 12,438,997 B2
Converting input image data from a plurality of vehicle cameras of a surround-view system into optimised output image data
Christian Scharfenberger, Lindau (DE); and Michelle Karg, Lindau (DE)
Assigned to Continental Autonomous Mobility Germany GmbH, Ingolstadt (DE)
Appl. No. 17/757,735
Filed by Continental Autonomous Mobility Germany GmbH, Ingolstadt (DE)
PCT Filed Dec. 9, 2020, PCT No. PCT/DE2020/200112
§ 371(c)(1), (2) Date Jun. 20, 2022,
PCT Pub. No. WO2021/121491, PCT Pub. Date Jun. 24, 2021.
Claims priority of application No. 10 2019 220 171.7 (DE), filed on Dec. 19, 2019.
Prior Publication US 2023/0342894 A1, Oct. 26, 2023
Int. Cl. G06K 9/00 (2022.01); G06T 5/00 (2006.01); G06T 5/50 (2006.01); H04N 23/90 (2023.01)
CPC G06T 5/50 (2013.01) [G06T 5/00 (2013.01); H04N 23/90 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01)] 16 Claims
OG exemplary drawing
 
5. A method for converting input image data from a plurality of vehicle cameras of a panoramic-view system into enhanced output image data, the method comprising:
a) input image data acquired by the plurality of the vehicle cameras and having a current brightness or color distribution are provided to a trained artificial neural network;
b) the trained artificial neural network is configured to convert the input image data having the current brightness or color distribution into enhanced output image data having different output brightness or color distribution, respectively; and
c) the trained artificial neural network is configured to output the enhanced output image data
wherein a factor is additionally provided to the trained artificial neural network during the input image data acquisition in block a) and the conversion is controlled as a function of the factor in the conversion of the input image data in block b).