Acknowledgement
This work was supported by the Technology Innovation Program (P0013847, 10%, Development of automatic steering-based accident avoidance system for electricdriven port yard tractors operating at low speed (less than 30 km/h)) funded By the Ministry of Trade, Industry & Energy(MOTIE, Korea) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2019R1A2C2005099, 10%), Ministry of Education (NRF-2018R1A6A1A03025109, 10%), and partly supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2021-0-00944, Metamorphic approach of unstructured validation/verification for analyzing binary code, 70%)
References
- P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, vol. 1, pp. 511-518, 2001. doi: 10.1109/CVPR.2001.990517.
- C. Zhang, G. Liu, X. Zhu, and H. Cai, "Face Detection Algorithm Based on Improved AdaBoost and New Haar Features," 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1-5, 2019. doi: 10.1109/CISP-BMEI48845.2019.8965841.
- W. Lee and C. Chen, "A Fast Template Matching Method With Rotation Invariance by Combining the Circular Projection Transform Process and Bounded Partial Correlation," in IEEE Signal Processing Letters, vol. 19, no. 11, pp. 737-740, Nov. 2012. doi: 10.1109/LSP.2012.2212010.
- S. Zhang and L. Su, "A New Fast Matching Algorithm for Angle-Adaptive Grayscale Templates," 2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), pp. 672-675, 2019. doi: 10.1109/WCMEIM48965.2019.00142.
- S. A. Nur, M. M. Ibrahim, N. M. Ali, and F. I. Y. Nur, "Vehicle detection based on underneath vehicle shadow using edge features," 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), pp. 407-412, 2016. doi: 10.1109/ICCSCE.2016.7893608.
- S. Zhang, L. Chai, and L. Jin, "Vehicle Detection in UAV Aerial Images Based on Improved YOLOv3," 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC), pp. 1-6, 2020. doi: 10.1109/ICNSC48988.2020.9238059.
- M. A. Zulkhairi, Y. M. Mustafah, Z. Z. Abidin, H. F. M. Zaki, and H. A. Rahman, "Car Detection Using Cascade Classifier on Embedded Platform," 2019 7th International Conference on Mechatronics Engineering (ICOM), pp. 1-3, 2019. doi: 10.1109/ICOM47790.2019.8952064.
- Z. Hao, Q. Feng, and L. Kaidong, "An Optimized Face Detection Based on Adaboost Algorithm," 2018 International Conference on Information Systems and Computer Aided Education (ICISCAE), pp. 375-378, 2018. doi: 10.1109/ICISCAE.2018.8666925.
- K. Chang and C. Fan, "Cost-Efficient Adaboost-based Face Detection with FPGA Hardware Accelerator," 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), pp. 1-2, 2019. doi: 10.1109/ICCE-TW46550. 2019.8991862.
- NXP Layerscape LS1028A Family of Industrial Applications Processors [Internet]. Available: https://www.nxp.com/docs/en/fact-sheet/LS1028AFS.pdf.