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  • šŸ‘‹ Hi, Iā€™m @yeolip
  • šŸ‘€ Iā€™m interested in programming.

I'm in charge of stereo camera calibration on Driver Monitoring Camera team on 2019. main role is extracting stereo camera param, and match & verify it between camera product and DSM algo. I installed a camera inspection facility in the factory. I reduce number of images until similar performance for tack time and stabilize it.

I'm developed AVM view software engineer in ADAS ED on 2016. AVM(Around View Monitoring) assist customer's parking on driving. it use 4 fisheye camera and display 360 degree area from vehicle. I have interesting at Transparent Car. TC need recovery bindspot under vehicle for offroad, when driving. This concept need to vehicle's direction and velocity, and n-1 frame top view.

yeolip's Projects

auto_position_recovery icon auto_position_recovery

If you can create a 3D structure using a 3D marker, you can verify various things such as the distance between two objects and the positional relationship. However, if the three-dimensional structure created before and the current environment are different over time, if there is even one non-moving reference object, the three-dimensional structure can be restructured by combining the past structure and the present structure. This program is a tool that calculates its functions.

convert_head_pos_and_gaze_roi icon convert_head_pos_and_gaze_roi

In order to verify the performance of face recognition algorithms of other companies in 2021, we are going to review the relationship between GT data and recorded images of face recognition that we have developed.

data_parsing_and_notify_with_timestamps icon data_parsing_and_notify_with_timestamps

In this project, I tried to parse and report the streaming data made with ADTF (Automotive Data and Time-Triggered Framework) DAT, and to notify according to TimeStamp. Additionally, we are trying to support outputting an image whether a normal notification has been reached.

extract_eye_gaze icon extract_eye_gaze

purpose - extract face -> extract eye -> extract pupil( or with iris) -> extract gaze for eye tracking

stereo_camera_calibration_extension icon stereo_camera_calibration_extension

In 2018, I was responsible for the production line camera setup of stereo camera calibration, and to ensure the performance of stereo camera calibration, an opencv-based inspection tool was created and various verifications were performed. The purpose was to compare the performance of the two camera calibration algorithms by inputting images and coordinate points as input. (OpenCV vs. other companies) In 2021, Distortion Rational, Thin Prime Model interface were additionally updated, The 2022 Fisheye model interface was also updated. In general, normal calibration is sufficient to cover, but If you want a normal wide angle or more precision, you can use the Rational model, For ultra-wide-angle cameras, we recommend using the Fisheye model. Since the method of calculating the distortion index is different for each model, it must be used separately.

yeolip icon yeolip

Config files for my GitHub profile.

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