Abstract
As a fundamental component in the autonomous driving technology stack, High Definition Maps (HD map) provide high-precision descriptions of the environment. It enables extremely accurate perception and localization while improving the efficiency of path planning. However, the HD map's extremely large data volume poses great challenges for the real-time and safety requirements of autonomous driving. Based on our real-world deployment experiences, we first demonstrate how the existing data transmission mechanism is weak in supporting HD map services. To address this problem, we propose an HD map data service mechanism on top of Vehicle-to-Infrastructure (V2I) data transmission under a tight time and energy budget. By this mechanism, the selected road side unit (RSU) nodes cooperate on map provisioning tasks and transmit HD map data proportionately. Furthermore, we model the real-time map data service into a partial knapsack problem and develop a greedy data transmission algorithm. Experimental results confirm that the proposed mechanism can ensure the real-time HD map data service meanwhile meeting the energy limits.
Original language | English (US) |
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Title of host publication | Proceedings - 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium, RTAS 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 421-424 |
Number of pages | 4 |
ISBN (Electronic) | 9781665403863 |
DOIs | |
State | Published - May 2021 |
Event | 27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021 - Virtual, Online Duration: May 18 2021 → May 21 2021 |
Publication series
Name | Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS |
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Volume | 2021-May |
ISSN (Print) | 1545-3421 |
Conference
Conference | 27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021 |
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City | Virtual, Online |
Period | 5/18/21 → 5/21/21 |
Funding
ACKNOWLEDGMENT This work is supported by Guangdong R&D Key Project of China under Grant No.2018B010107003, Doctoral Startup Program of Guangdong Natural Science Foundation under Grant No.2018A030310408. Jie Tang is the corresponding author of this paper.
Keywords
- Autonomous driving
- Energy Efficiency
- HD Maps
- Map Data distribution
- Map Data provisioning
ASJC Scopus subject areas
- General Engineering