Improving Real-Time Performance of Autonomous Driving Systems with Edge Computing

Improving Real-Time Performance of Autonomous Driving Systems with Edge Computing

Authors

  • James Whitmore
  • Priya Mehra
  • Oliver Hastings
  • Emily Linford

DOI:

https://doi.org/10.53469/ijomsr.2025.08(05).06

Keywords:

Edge computing, Autonomous driving system, Real-time performance optimization, Modular deployment, Container orchestration, Apollo platform

Abstract

High-latency bottlenecks in traditional cloud-based architectures pose significant challenges for real-time autonomous driving applications. To address this issue, this study introduces an edge computing-based optimization framework tailored for autonomous driving systems. A hierarchical collaborative computing architecture is designed to distribute perception and decision-making tasks across edge nodes, thereby improving response efficiency. The framework incorporates Docker container technology to enable lightweight modularization of system components, while the Kubernetes orchestration platform ensures dynamic resource scheduling and flexible deployment. Empirical evaluation on the Baidu Apollo autonomous driving open platform demonstrates that the proposed solution reduces end-to-end system latency by 23.6%, with only a marginal decrease in target detection performance (mAP drop ≤ 2.8%). The results also confirm the framework’s scalability and adaptability, offering practical guidance for engineering deployment in autonomous driving scenarios.

References

Wang, H., Zhang, G., Zhao, Y., Lai, F., Cui, W., Xue, J., ... & Lin, Y. (2024, December). Rpf-eld: Regional prior fusion using early and late distillation for breast cancer recognition in ultrasound images. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2605-2612). IEEE.

Shi, X., Tao, Y., & Lin, S. C. (2024, November). Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning. In 2024 4th International Signal Processing, Communications and Engineering Management Conference (ISPCEM) (pp. 259-263). IEEE.

Guo, H., Zhang, Y., Chen, L., & Khan, A. A. (2024). Research on vehicle detection based on improved YOLOv8 network. arXiv preprint arXiv:2501.00300.

Zhao, R., Hao, Y., & Li, X. (2024). Business Analysis: User Attitude Evaluation and Prediction Based on Hotel User Reviews and Text Mining. arXiv preprint arXiv:2412.16744.

Zhai, D., Beaulieu, C., & Kudela, R. M. (2024). Long‐term trends in the distribution of ocean chlorophyll. Geophysical Research Letters, 51(7), e2023GL106577.

Lv, G., Li, X., Jensen, E., Soman, B., Tsao, Y. H., Evans, C. M., & Cahill, D. G. (2023). Dynamic covalent bonds in vitrimers enable 1.0 W/(m K) intrinsic thermal conductivity. Macromolecules, 56(4), 1554-1561.

Xiao, Y., Tan, L., & Liu, J. (2025). Application of Machine Learning Model in Fraud Identification: A Comparative Study of CatBoost, XGBoost and LightGBM.

Gong, C., Zhang, X., Lin, Y., Lu, H., Su, P. C., & Zhang, J. (2025). Federated Learning for Heterogeneous Data Integration and Privacy Protection.

Shih, K., Han, Y., & Tan, L. (2025). Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions.

Yang, J. (2024). Data-driven investment strategies in international real estate markets: A predictive analytics approach. International Journal of Computer Science and Information Technology, 3(1), 247-258.

Jiang, G., Yang, J., Zhao, S., Chen, H., Zhong, Y., & Gong, C. (2025). Investment Advisory Robotics 2.0: Leveraging Deep Neural Networks for Personalized Financial Guidance.

Feng, H. (2024, September). The research on machine-vision-based EMI source localization technology for DCDC converter circuit boards. In Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024) (Vol. 13275, pp. 250-255). SPIE.

Lv, G., Li, X., Jensen, E., Soman, B., Tsao, Y. H., Evans, C. M., & Cahill, D. G. (2023). Dynamic covalent bonds in vitrimers enable 1.0 W/(m K) intrinsic thermal conductivity. Macromolecules, 56(4), 1554-1561.

Yang, J. (2024). Comparative Analysis of the Impact of Advanced Information Technologies on the International Real Estate Market. Transactions on Economics, Business and Management Research, 7, 102-108.

Wang, Y., Shao, W., Lin, J., & Zheng, S. (2025). Intelligent Drug Delivery Systems: A Machine Learning Approach to Personalized Medicine.

Zhang, B., Han, X., & Han, Y. (2025). Research on Multimodal Retrieval System of e-Commerce Platform Based on Pre-Training Model.

Wang, Y., Jia, P., Shu, Z., Liu, K., & Shariff, A. R. M. (2025). Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework. arXiv preprint arXiv:2504.20442.

Zhu, J., Xu, T., Liu, M., & Chen, C. (2024). Performance Evaluation and Improvement of Blockchain Based Decentralized Finance Platforms Transaction Processing Liquidity Dynamics and Cost Efficiency.

Yang, J., Zhang, Y., Xu, K., Liu, W., & Chan, S. E. (2024). Adaptive Modeling and Risk Strategies for Cross-Border Real Estate Investments.

Ge, G., Zelig, R., Brown, T., & Radler, D. R. (2025). A review of the effect of the ketogenic diet on glycemic control in adults with type 2 diabetes. Precision Nutrition, 4(1), e00100.

Zhang, L., & Liang, R. (2025). Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture. arXiv preprint arXiv:2505.09907.

Zheng, Z., Wu, S., & Ding, W. (2025). CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction. arXiv preprint arXiv:2505.12203.

Zhu, J., Xu, T., Zhang, Y., & Fan, Z. (2024). Scalable Edge Computing Framework for Real-Time Data Processing in Fintech Applications. International Journal of Advance in Applied Science Research, 3, 85-92.

Zhu, J., Sun, Y., Zhang, Y., Ortiz, J., & Fan, Z. (2024, October). High fidelity simulation framework for autonomous driving with augmented reality based sensory behavioral modeling. In IET Conference Proceedings CP989 (Vol. 2024, No. 21, pp. 670-674). Stevenage, UK: The Institution of Engineering and Technology.

Freedman, H., Young, N., Schaefer, D., Song, Q., van der Hoek, A., & Tomlinson, B. (2024). Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-22.

Fu, Y., Gui, H., Li, W., & Wang, Z. (2020, August). Virtual Material Modeling and Vibration Reduction Design of Electron Beam Imaging System. In 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA) (pp. 1063-1070). IEEE.

Gui, H., Fu, Y., Wang, B., & Lu, Y. (2025). Optimized Design of Medical Welded Structures for Life Enhancement.

Zhu, J., Ortiz, J., & Sun, Y. (2024, November). Decoupled Deep Reinforcement Learning with Sensor Fusion and Imitation Learning for Autonomous Driving Optimization. In 2024 6th International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 306-310). IEEE.

Zheng, J., & Makar, M. (2022). Causally motivated multi-shortcut identification and removal. Advances in Neural Information Processing Systems, 35, 12800-12812.

Zheng, Y., & Zheng, J. (2024). Impact on Local Economy from Zhoushan National New Area. Journal of Comprehensive Business Administration Research.

Feng, H. (2024). High-Efficiency Dual-Band 8-Port MIMO Antenna Array for Enhanced 5G Smartphone Communications. Journal of Artificial Intelligence and Information, 1, 71-78.

Zhu, J., Wu, Y., Liu, Z., & Costa, C. (2025). Sustainable Optimization in Supply Chain Management Using Machine Learning. International Journal of Management Science Research, 8(1).

Lin, Y., Yao, Y., Zhu, J., & He, C. (2025, March). Application of Generative AI in Predictive Analysis of Urban Energy Distribution and Traffic Congestion in Smart Cities. In 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE) (pp. 765-768). IEEE.

Liu, Z., Costa, C., & Wu, Y. Expert Perception and Machine Learning Dimensional Risk Analysis.

Yang, J., Li, Y., Harper, D., Clarke, I., & Li, J. (2025). Macro Financial Prediction of Cross Border Real Estate Returns Using XGBoost LSTM Models. Journal of Artificial Intelligence and Information, 2, 113-118.

Whitmore, J., Mehra, P., Yang, J., & Linford, E. (2025). Privacy Preserving Risk Modeling Across Financial Institutions via Federated Learning with Adaptive Optimization. Frontiers in Artificial Intelligence Research, 2(1), 35-43.

Luo, D., Gu, J., Qin, F., Wang, G., & Yao, L. (2020, October). E-seed: Shape-changing interfaces that self drill. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (pp. 45-57).

Yao, Y. (2024, May). Design of Neural Network-Based Smart City Security Monitoring System. In Proceedings of the 2024 International Conference on Computer and Multimedia Technology (pp. 275-279).

Downloads

Published

2025-05-28

Issue

Section

Articles
Loading...