Abstract: A method for determining a state of a tailgate (9) of a pickup vehicle (1) by a camera system (2), includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (8) captured by a camera (3), determining a first region of interest (ROI1) in the captured image (8) by an electronic computing device (4) of the camera system (2), wherein the first region of interest (ROI1) includes the potential tailgate (9) at least partially, determining a parameter optically characterizing the tailgate (9) depending on the captured image (8), analyzing the first region of interest (ROI1) with regard to the characterizing parameter, and determining a closed state of the tailgate (9) as state or determining an opened state of the tailgate (9) as state depending on the analysis of the first region of interest (ROI1). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: A method for determining a camera parameter for a camera (3) of a camera system (2) of a pickup vehicle (1) includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (18) captured by using the camera (3), determining at least one first cargo bed edge line of the cargo bed (5) by optical analysis of the captured image (18) by using an electronic computing device (4) of the camera system (3), providing a function parameter for a cost function (15) by analysis of at least one first cargo bed edge line by using a regression-analysis algorithm of a solver module (14) of the electronic computing device (4), and determining the camera parameter on the basis of the cost function (15) depending on the provided function parameter by using the electronic computing device (4). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: A method for determining a camera parameter for a camera (3) of a camera system (2) of a pickup vehicle (1) includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (18) captured by using the camera (3), determining at least one first cargo bed edge line of the cargo bed (5) by optical analysis of the captured image (18) by using an electronic computing device (4) of the camera system (3), providing a function parameter for a cost function (15) by analysis of at least one first cargo bed edge line by using a regression-analysis algorithm of a solver module (14) of the electronic computing device (4), and determining the camera parameter on the basis of the cost function (15) depending on the provided function parameter by using the electronic computing device (4). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: A method for determining a state of a tailgate (9) of a pickup vehicle (1) by a camera system (2), includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (8) captured by a camera (3), determining a first region of interest (ROI1) in the captured image (8) by an electronic computing device (4) of the camera system (2), wherein the first region of interest (ROI1) includes the potential tailgate (9) at least partially, determining a parameter optically characterizing the tailgate (9) depending on the captured image (8), analyzing the first region of interest (ROI1) with regard to the characterizing parameter, and determining a closed state of the tailgate (9) as state or determining an opened state of the tailgate (9) as state depending on the analysis of the first region of interest (ROI1). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.