Birds Eye View Look-Up Table Estimation with Semantic Segmentation

نویسندگان

چکیده

In this work, a study was carried out to estimate look-up table (LUT) that converts camera image plane birds eye view (BEV) using single camera. The traditional pose estimation fields require high costs in researching and manufacturing autonomous vehicles for the future may pre-configured infra. This paper proposes an vehicle driving calibration system is low cost utilizes A network outputs form of LUT into BEV by estimating under urban road conditions studied. We propose predicts human-like poses from image. collected synthetic data simulator, made as ground truth, utilized proposed truth train function. progress, it deciphering semantic segmentation feature increases its performance attaching layer handles overall direction network. angle (roll/pitch/yaw) on 3D coordinate so user can monitor learning. Since network’s output LUT, there no need additional calculation, real-time improved.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2021

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app11178047