Quantitative Analysis of Storage Requirement for Autonomous Vehicles
Pages 71 - 78
Abstract
This study addresses the critical aspect of data storage requirements for Autonomous Vehicles (AVs). With AVs generating substantial amounts of data daily, understanding these requirements is vital for AV storage systems design, enhancing vehicle safety, efficiency, and operational integrity. Through a comprehensive analysis of onboard sensor and CAN bus data, alongside a novel mathematical model, this research offers insights into the storage needs, assesses system durability, and proposes a tailored storage solution and system architecture. The findings aim to guide the development of future AV storage systems, emphasizing the importance of data-driven decision-making in AV technology advancements.
References
[1]
Emad Aliwa, Omer Rana, Charith Perera, and Peter Burnap. 2021. Cyberattacks and countermeasures for in-vehicle networks. ACM computing surveys (CSUR) 54, 1 (2021), 1--37. https://doi.org/10.1145/3431233
[2]
Mrinal R Bachute and Javed M Subhedar. 2021. Autonomous driving architectures: insights of machine learning and deep learning algorithms. Machine Learning with Applications 6 (December 2021), 100164. https://doi.org/10.1016/j.mlwa.2021.100164
[3]
Hannah M Boland, Morgan I Burgett, Aaron J Etienne, and Robert M Stwalley III. 2021. An Overview of CAN-BUS Development, Utilization, and Future Potential in Serial Network Messaging for Off-Road Mobile Equipment. Technology in Agriculture (July 2021). https://doi.org/10.5772/intechopen.98444
[4]
Western Digital. 2020. electronicsforu.com. Technical Report. https://electronicsforu.com/wp-contents/uploads/2020/04/Automotive-Whitepaper.pdf
[5]
Asif Faisal, Md Kamruzzaman, Tan Yigitcanlar, and Graham Currie. 2019. Understanding autonomous vehicles. Journal of transport and land use 12, 1 (2019), 45--72. https://www.jstor.org/stable/26911258
[6]
Steve Corrigan HPL. 2002. Introduction to the controller area network (CAN). Technical Report. 1--17 pages. http://masters.donntu.ru/2005/fvti/trofunenko/library/sloa101.pdf
[7]
Karl Henrik Johansson, Martin Törngren, and Lars Nielsen. 2005. Vehicle applications of controller area network. Handbook of networked and embedded control systems (2005), 741--765. https://doi.org/10.1007/0-8176-4404-0_32
[8]
Insup Kim, Ganggyu Lee, Seyoung Lee, and Wonsuk Choi. 2022. Cybersecurity and Capacity Requirement for Data Storage of Autonomous Driving System. In 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, London, UK, 1--7. https://doi.org/10.1109/VTC2022-Fall57202.2022.10012699
[9]
Insup Kim, Ganggyu Lee, Seyoung Lee, and Wonsuk Choi. 2022. Data Storage System Requirement for Autonomous Vehicle. In 2022 22nd International Conference on Control, Automation and Systems (ICCAS). IEEE, Jeju, Korea, 45--49. https://doi.org/10.23919/ICCAS55662.2022.10003785
[10]
Jelena Kocić, Nenad Jovičić, and Vujo Drndarević. 2018. Sensors and Sensor Fusion in Autonomous Vehicles. In 2018 26th Telecommunications Forum (TELFOR). 2018 26th Telecommunications Forum (TELFOR), 420--425. https://doi.org/10.1109/TELFOR.2018.8612054
[11]
Richard B Langley. 1995. NMEA 0183: A GPS receiver interface standard. GPS world 6, 7 (1995), 54--57. https://gge.ext.unb.ca/Resources/gpsworld.july95.pdf
[12]
Piergiuseppe Mallozzi, Patrizio Pelliccione, Alessia Knauss, Christian Berger, and Nassar Mohammadiha. 2019. Autonomous vehicles: state of the art, future trends, and challenges. Automotive systems and software engineering: State of the art and future trends (July 2019), 347--367. https://doi.org/10.1007/978-3-030-12157-0_16
[13]
Ruijun Wang, Liangkai Liu, and Weisong Shi. 2020. HydraSpace: Computational data storage for autonomous vehicles. In 2020 IEEE 6th International Conference on Collaboration and Internet Computing(CIC). IEEE, Atlanta, GA, USA, 70--77. https://doi.org/10.1109/CIC50333.2020.00033
[14]
Yifan Wang, Shaoshan Liu, Xiaopei Wu, and Weisong Shi. 2018. CAVBench: A benchmark suite for connected and autonomous vehicles. In 2018 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, Seattle, WA, USA, 30--42. https://doi.org/10.1109/SEC.2018.00010
[15]
Zhangjing Wang, Yu Wu, and Qingqing Niu. 2020. Multi-Sensor Fusion in Automated Driving: A Survey. IEEE Access 8 (2020), 2847--2868. https://doi.org/10.1109/ACCESS.2019.2962554
[16]
Bao-Fu Wu, Ren Zhong, Yuxin Wang, Jian Wan, Ji-Lin Zhang, and Weisong Shi. 2024. Vpi: Vehicle programming interface for vehicle computing. Journal of Computer Science and Technology 39, 1 (2024), 22--44. https://doi.org/10.1007/s11390-024-4035-2
[17]
De Jong Yeong, Gustavo Velasco-Hernandez, John Barry, and Joseph Walsh. 2021. Sensor and sensor fusion technology in autonomous vehicles: A review. Sensors 21, 6 (2021), 2140. https://doi.org/10.3390/s21062140
[18]
Weiying Zeng, Mohammed AS Khalid, and Sazzadur Chowdhury. 2016. In-vehicle networks outlook: Achievements and challenges. IEEE Communications Surveys & Tutorials 18, 3 (January 2016), 1552--1571. https://doi.org/10.1109/COMST.2016.2521642
Index Terms
- Quantitative Analysis of Storage Requirement for Autonomous Vehicles
Recommendations
Motion planning of autonomous vehicles in a non-autonomous vehicle environment without speed lanes
Planning is one of the key problems for autonomous vehicles operating in road scenarios. Present planning algorithms operate with the assumption that traffic is organised in predefined speed lanes, which makes it impossible to allow autonomous vehicles ...
A Macroscopic Study on Dedicated Highway Lanes for Autonomous Vehicles
Computational Science – ICCS 2019AbstractThe introduction of Autonomous Vehicles (AVs) will have far-reaching effects on road traffic in cities and on highways. The implementation of Automated Highway Systems (AHS), possibly with a dedicated lane only for AVs, is believed to be a ...
Study on mixed traffic of autonomous vehicles and human-driven vehicles with different cyber interaction approaches
AbstractThe emergence of autonomous vehicles will significantly improve traffic efficiency and safety. Before the fully autonomous driving of traffic system, the mixed traffic with autonomous and human-driven vehicles will be a typical feature ...
Comments
Information & Contributors
Information
Published In
July 2024
141 pages
ISBN:9798400706301
DOI:10.1145/3655038
Copyright © 2024 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 July 2024
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
Conference
HOTSTORAGE '24
Sponsor:
HOTSTORAGE '24: 16th ACM Workshop on Hot Topics in Storage and File Systems
July 8 - 9, 2024
CA, Santa Clara, USA
Acceptance Rates
Overall Acceptance Rate 34 of 87 submissions, 39%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 194Total Downloads
- Downloads (Last 12 months)194
- Downloads (Last 6 weeks)12
Reflects downloads up to 06 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in