Details
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4157-4162 |
| Number of pages | 6 |
| ISBN (electronic) | 9781665468800 |
| ISBN (print) | 978-1-6654-6881-7 |
| Publication status | Published - 2022 |
| Event | 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 - Macau, China Duration: 8 Oct 2022 → 12 Oct 2022 |
Publication series
| Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
|---|---|
| Volume | 2022-October |
Abstract
The Collective Perception Service (CPS) enables the enhancement of environmental awareness of Intelligent Transport System Stations (ITS-S) through the exchange of tracking information between stations. As the market penetration of CPS is growing, the intelligent distribution of the limited communication resources becomes more and more challenging. To address this problem, the ETSI CPS proposes dynamic-based object selection to generate Collective Perception Messages. However, this approach has limits and barely considers detection accuracy and the recent information available at other ITS-Ss in the transmission range. We show a proposal considering the current object tracking accuracy in the local environment and the object tracking from messages received by other stations in order to intelligently decide whether to include an object in a CPM. The algorithm decides based on the relative entropy between the local and V2X tracking accuracy if the object information is valuable for the nearby stations. Our simulation according to the ITS-G5 standard shows that the Channel Busy Ratio (CBR) can be reduced with accuracy-based generation of CPM while improving Object Tracking Accuracy (OTA) compared to generation based on ETSI rules.
ASJC Scopus subject areas
- Engineering(all)
- Automotive Engineering
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
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2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 4157-4162 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2022-October).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Tracking Accuracy Based Generation Rules of Collective Perception Messages
AU - Li, Shule
AU - Wolff, Vincent Albert
N1 - Funding Information: VIII. ACKNOWLEDGEMENTS This publication is partially funded by the Lower Saxony Ministry of Science and Culture under grant number ZN3493 within the Lower Saxony “Vorab“ of the Volkswagen Foundation and supported by the Center for Digital Innovations (ZDIN). This publication is also partially funded by Deutsche Forschungsgemein-schaft (DFG, German Research Foundation) - project number 227198829 / GRK1931.
PY - 2022
Y1 - 2022
N2 - The Collective Perception Service (CPS) enables the enhancement of environmental awareness of Intelligent Transport System Stations (ITS-S) through the exchange of tracking information between stations. As the market penetration of CPS is growing, the intelligent distribution of the limited communication resources becomes more and more challenging. To address this problem, the ETSI CPS proposes dynamic-based object selection to generate Collective Perception Messages. However, this approach has limits and barely considers detection accuracy and the recent information available at other ITS-Ss in the transmission range. We show a proposal considering the current object tracking accuracy in the local environment and the object tracking from messages received by other stations in order to intelligently decide whether to include an object in a CPM. The algorithm decides based on the relative entropy between the local and V2X tracking accuracy if the object information is valuable for the nearby stations. Our simulation according to the ITS-G5 standard shows that the Channel Busy Ratio (CBR) can be reduced with accuracy-based generation of CPM while improving Object Tracking Accuracy (OTA) compared to generation based on ETSI rules.
AB - The Collective Perception Service (CPS) enables the enhancement of environmental awareness of Intelligent Transport System Stations (ITS-S) through the exchange of tracking information between stations. As the market penetration of CPS is growing, the intelligent distribution of the limited communication resources becomes more and more challenging. To address this problem, the ETSI CPS proposes dynamic-based object selection to generate Collective Perception Messages. However, this approach has limits and barely considers detection accuracy and the recent information available at other ITS-Ss in the transmission range. We show a proposal considering the current object tracking accuracy in the local environment and the object tracking from messages received by other stations in order to intelligently decide whether to include an object in a CPM. The algorithm decides based on the relative entropy between the local and V2X tracking accuracy if the object information is valuable for the nearby stations. Our simulation according to the ITS-G5 standard shows that the Channel Busy Ratio (CBR) can be reduced with accuracy-based generation of CPM while improving Object Tracking Accuracy (OTA) compared to generation based on ETSI rules.
UR - http://www.scopus.com/inward/record.url?scp=85141856704&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2209.14122
DO - 10.48550/arXiv.2209.14122
M3 - Conference contribution
AN - SCOPUS:85141856704
SN - 978-1-6654-6881-7
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 4157
EP - 4162
BT - 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Y2 - 8 October 2022 through 12 October 2022
ER -