Published November 29, 2022 | Version v1
Conference paper Open

Object detection in mobile robotics

  • 1. Vasyl Stefanyk Precarpathian National University

Description

This paper presents an improved object detection method based on a combination of one-stage object detector followed by an additional classification stage. The article reports an increase in the IoU metric by 8%, classification accuracy by 7%, and f1-score by 5%.The research was conducted using computational experiments and modeling techniques. The results were discussed and interpreted.

Notes

V. Yakovyn and T. Kriukov, "Software architecture design of software developed in student engineering teams," 2022 International Conference on Innovative Solutions in Software Engineering (ICISSE), Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine, Nov. 29-30, 2022, pp. 310-312, doi: 10.5281/zenodo.8418713

Files

2022_ICISSE_Yakovyn_Kriukov.pdf

Files (373.0 kB)

Name Size Download all
md5:a536d5c19fee288f9ccc66e104397339
373.0 kB Preview Download

Additional details

References

  • S. Dasiopoulou, V. Mezaris, I. Kompatsiaris, V.-K. Papastathis, and M. G. Strintzis, "Knowledge-assisted semantic video object detection," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 10, pp. 1210-1224, Oct. 2005, doi: 10.1109/TCSVT.2005.854238
  • J. Wu, A. Osuntogun, T. Choudhury, M. Philipose, and J. M. Rehg, "A Scalable Approach to Activity Recognition based on Object Use," 2007 IEEE 11th International Conference on Computer Vision, 2007, pp. 1-8, doi: 10.1109/ICCV.2007.4408865
  • C -Y. Wang, A. Bochkovskiy, and H -Y. M. Liao, "Scaled-YOLOv4: Scaling Cross Stage Partial Network," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 13024-13033, doi: 10.1109/CVPR46437.2021.01283
  • J. U. Kim and Y. Man Ro, "Attentive Layer Separation for Object Classification and Object Localization in Object Detection," 2019 IEEE International Conference on Image Processing (ICIP), 2019, pp. 3995-3999, doi: 10.1109/ICIP.2019.8803439
  • J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, Real-Time Object Detection," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 779-788, doi: 10.1109/CVPR.2016.91
  • R. Girshick, "Fast R-CNN," 2015 IEEE International Conference on Computer Vision (ICCV), 2015, pp. 1440-1448, doi: 10.1109/ICCV.2015.169
  • K. He, G. Gkioxari, P. Dollár, and R. Girshick, "Mask R-CNN," 2017 IEEE International Conference on Computer Vision (ICCV), 2017, pp. 2980-2988, doi: 10.1109/ICCV.2017.322
  • A. Raghunandan, Mohana, P. Raghav, and H. V. R. Aradhya, "Object Detection Algorithms for Video Surveillance Applications," 2018 International Conference on Communication and Signal Processing (ICCSP), 2018, pp. 0563-0568, doi: 10.1109/ICCSP.2018.8524461
  • М. Козленко, "Система компенсації гравітаційного впливу на лінійну швидкість автономного мобільного колісного робота," І Науковий семінар Кіберфізичні системи досягнення та виклики, 2015, с. 149-157
  • М. Козленко, "Модуль інерціальної навігації автономного мобільного робота та аналіз характеристик його сигналів," Вісник Хмельницького національного університету Технічні науки, № 6, с. 160-164, 2014
  • М. Козленко, "Характер та симетрія функцій правдоподібності при демодуляції шумоподібних сигналів в мобільній робототехніці," Вісник Хмельницького національного університету Технічні науки, № 6, с. 135-139, 2013
  • M. Kozlenko, "The interference immunity of the telemetric information data exchange with autonomous mobile robots," Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 1, pp. 107–113, 2015