Development and Real-Vehicle Validation of an Around View Monitor Evaluation System for Parking Experience

Authors

  • Xin Wang China Automotive Technology & Research Center Co.Ltd. No. 68, Xianfeng East Road, Dongli District, Tianjin 300300, China
  • Shu Miao China Automotive Technology & Research Center Co.Ltd. No. 68, Xianfeng East Road, Dongli District, Tianjin 300300, China
  • Lu Zhang China Automotive Technology & Research Center Co.Ltd. No. 68, Xianfeng East Road, Dongli District, Tianjin 300300, China

DOI:

https://doi.org/10.54097/1aa10x21

Keywords:

Around View Monitor (AVM), real-vehicle testing, activation time, zoom scale, stitching quality.

Abstract

With regard to surround view systems, after they have been broadly applied in mass - produced cars, one must consider them as part of the factors influencing parking safety or satisfaction .Yet at present no full industry evaluation exists — neither theoretical nor practical — that meets driver needs by combining objective data with subjective impressions .The present article is devoted mainly to problems arising in basic parking situations, and by means of user surveys, of the Delphi method, and of hierarchical analysis, a surround-view evaluation plan is proposed—one with four components: viewing angle, activation time, real - scene proportion, and stitching quality .It was applied to 31 common models currently available on the market .The data suggest that stitching quality affects the whole experience more than any other factor .The evaluation idea seems well suited for detecting differences, and it gives carmakers a solid basis for design choices or for standard-setting purposes.

Downloads

Download data is not yet available.

References

[1] Chen, J. X. (2018). Research on 3D Around View Monitoring System Based on Embedded Technology [Master’s thesis]. Tianjin Polytechnic University.

[2] Feng, C. (2018). Research on Image Stitching Technology for 360° Vehicle Surround View System [Master’s thesis]. Harbin Institute of Technology.

[3] Wang, J. C. (2021). Research on Mass-Production Solution for Vehicle High-Definition Panoramic Surround View System. Digital Technology and Application, 39(9), 86–88, 91. https://doi.org/10.19695/j.cnki.cn12-1369.2021.09.28

[4] Grover, C., Avery, M., & Knight, I. (2015). Parking crashes: the rationale for action and the development of test procedures. In Proceedings of the 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV). Gothenburg, Sweden.

[5] Lohrer, J., & König, A. (2017). Deriving system parameters of a 360° low speed autonomous emergency braking driver assistance system for parking and maneuvering based on naturalistic driving studies. In 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES) (pp. 156–161). IEEE. DOI: https://doi.org/10.1109/ICVES.2017.7991918

[6] Cicchino, J. B. (2017). Effects of rearview cameras and rear parking sensors on police-reported backing crashes. Traffic Injury Prevention, 18(8), 859–865. DOI: https://doi.org/10.1080/15389588.2017.1317758

[7] Cicchino, J. B. (2019). Real-world effects of rear automatic braking and other backing assistance systems. Journal of Safety Research, 68, 41–47. DOI: https://doi.org/10.1016/j.jsr.2018.12.005

[8] Li, Y. (2024). Research and Implementation of Surround View System Based on Six Cameras [Master’s thesis]. Jilin University. https://doi.org/10.27162/d.cnki.gjlin.2024.003318

[9] Dou, Z. W. (2023). Parking Space Detection Method Based on Vehicle Surround View System [Master’s thesis]. Qingdao University of Science and Technology. https://doi.org/10.27264/d.cnki.gqdhc.2023.001395

[10] Jiang, H., Huang, D. J., & Cheng, Y. S. (2025). Parking space recognition without lane markings based on multi-sensor fusion. Journal of Fujian University of Technology, 23(6), 550–556.

[11] Roh, C. G., Im, I. J., & Kim, J. (2020). Analysis of impact of rain conditions on ADAS. Sensors, 20(23), 6720. DOI: https://doi.org/10.3390/s20236720

[12] Xu, X., Zhang, M., Tang, H., Xu, W., Sun, B., & Zheng, Z. (2025). Low-illumination parking scenario detection based on image adaptive enhancement. World Electric Vehicle Journal, 16(6), 305. DOI: https://doi.org/10.3390/wevj16060305

[13] Zhang, C. G., & Wu, Z. N. (2000). Analysis and improvement of the ratio scale in analytic hierarchy process (AHP). Journal of Zhengzhou University of Technology, (2), 85–87.

[14] Dong, Y. C., & Chen, Y. H. (2004). Inspection in analytic hierarchy process (AHP). Systems Engineering - Theory & Practice, (7), 105–110.

Downloads

Published

27-08-2026

Issue

Section

Articles

How to Cite

Wang, X., Miao, S., & Zhang, L. (2026). Development and Real-Vehicle Validation of an Around View Monitor Evaluation System for Parking Experience. Academic Journal of Science and Technology, 22(1), 49-57. https://doi.org/10.54097/1aa10x21