A method for detecting one or more passenger statuses by analyzing an interior image of a vehicle, comprising steps of: (a1) acquiring at least one 2D interior image of an interior of the vehicle taken by at least one camera with a fisheye lens, (a2) a passenger status-detecting device performing a process of inputting the 2D interior image into a pose estimation network , to thereby allow the pose estimation network to acquire one or more pose points (PP, PP1, PP2) corresponding to each of one or more passengers from the 2D interior image, said one or more pose points (PP, PP1, PP2) being anatomical landmarks of the one or more passengers; and (b) the passenger status-detecting device performing (i) a process of calculating location information on the pose points (PP, PP1, PP2) corresponding to each of the passengers relative to a preset reference point of the vehicle and (ii) a process of detecting each of the passenger statuses by referring to the location information on the pose points (PP, PP1, PP2) corresponding to each of the passengers, characterized in that the process of calculating location information on the pose points (PP, PP1, PP2) comprises referring to a predetermined pixel-angle table, that has been created using a grid image, wherein said grid image has been acquired from the camera by placing a grid board of grid cells in front of the camera in the interior of the vehicle and shooting the grid board with the fisheye lens, wherein the pixel-angle table indicates a vertical angle and a horizontal angle for each pixel of the grid image, which corresponds to a corner (SP, SP1, SP2, SP3, SP4) of the grid cells, wherein the respective vertical angle and the respective horizontal angle are formed by a first line that connects the camera and a top center (TC) of the grid board and a respective second line that connects a respective corner (SP, SP1, SP2, SP3, SP4) of the grid cells and the camera . (a1) acquiring at least one 2D interior image of an interior of the vehicle taken by at least one camera with a fisheye lens, (a2) a passenger status-detecting device performing a process of inputting the 2D interior image into a pose estimation network , to thereby allow the pose estimation network to acquire one or more pose points (PP, PP1, PP2) corresponding to each of one or more passengers from the 2D interior image, said one or more pose points (PP, PP1, PP2) being anatomical landmarks of the one or more passengers; and (b) the passenger status-detecting device performing (i) a process of calculating location information on the pose points (PP, PP1, PP2) corresponding to each of the passengers relative to a preset reference point of the vehicle and (ii) a process of detecting each of the passenger statuses by referring to the location information on the pose points (PP, PP1, PP2) corresponding to each of the passengers, characterized in that the process of calculating location information on the pose points (PP, PP1, PP2) comprises referring to a predetermined pixel-angle table, that has been created using a grid image, wherein said grid image has been acquired from the camera by placing a grid board of grid cells in front of the camera in the interior of the vehicle and shooting the grid board with the fisheye lens, wherein the pixel-angle table indicates a vertical angle and a horizontal angle for each pixel of the grid image, which corresponds to a corner (SP, SP1, SP2, SP3, SP4) of the grid cells, wherein the respective vertical angle and the respective horizontal angle are formed by a first line that connects the camera and a top center (TC) of the grid board and a respective second line that connects a respective corner (SP, SP1, SP2, SP3, SP4) of the grid cells and the camera . <EOS>