Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection

Sachin Sharma; Ali Riza Ekti; Johan F. Rojas; Nicolas E. Brown; David Pesin; Chieh Ross Wang; Shean Huff; Tim J. Laclair; Zachary D. Asher; Richard T. Meyer

doi:10.1109/SENSORS52175.2022.9967036

Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection

Sachin Sharma, Ali Riza Ekti, Johan F. Rojas, Nicolas E. Brown, David Pesin, Chieh Ross Wang, Shean Huff, Tim J. Laclair, Zachary D. Asher, Richard T. Meyer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Increased energy consumption from autonomous vehicle (AV) sensors and computational load as well as upfront costs of sensors are barriers to broad AV adoption. For high quality and reliable perception of the driving environment, incoming data from multiple sensors need to be fused together using advanced computational algorithms, which requires a high compute load. As an alternative, infrastructure-based sensors can be designed to facilitate perception and sensing by supporting vehicle-to-infrastructure (V2I) information exchange. This work presents the initial development and evaluation of a novel energy efficient infrastructure-based sensor. The sensor, a chip-enabled raised pavement marker (CERPM), is capable of wireless communications to exchange environment information with AVs. As a test case, the developed CERPM is applied in real-world driving to perform lane line and drivable region detection for an AV. It is shown that CERPMs can be utilized to effectively detect the lane line and drivable region, which can improve perception while reducing the compute load.

Original language	English
Title of host publication	2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665484640
DOIs	https://doi.org/10.1109/SENSORS52175.2022.9967036
State	Published - 2022
Event	2022 IEEE Sensors Conference, SENSORS 2022 - Dallas, United States Duration: Oct 30 2022 → Nov 2 2022

Publication series

Name	Proceedings of IEEE Sensors
Volume	2022-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	2022 IEEE Sensors Conference, SENSORS 2022
Country/Territory	United States
City	Dallas
Period	10/30/22 → 11/2/22

Funding

This manuscript has been authored in part by UT–Battelle, LLC, under contract DE–AC05–00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid–up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). ACKNOWLEDGEMENTS This material is based upon work supported by the US Department of Energy (DOE)’s Office of Energy Efficiency and Renewable Energy (EERE) under the Energy Efficient Mobility Systems program under DE–EE–0009657.

Funders	Funder number
DOE Public Access Plan
U.S. Department of Energy
Battelle	DE–AC05–00OR22725
Office of Energy Efficiency and Renewable Energy	DE–EE–0009657

Keywords

AV
CERPM
GPS
Lane Detection
LoRa

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SENSORS52175.2022.9967036

Cite this

Sharma, S., Ekti, A. R., Rojas, J. F., Brown, N. E., Pesin, D., Wang, C. R., Huff, S., Laclair, T. J., Asher, Z. D., & Meyer, R. T. (2022). Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection. In 2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings (Proceedings of IEEE Sensors; Vol. 2022-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SENSORS52175.2022.9967036

@inproceedings{28afa035a29f4547854d77d203927eec,

title = "Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection",

abstract = "Increased energy consumption from autonomous vehicle (AV) sensors and computational load as well as upfront costs of sensors are barriers to broad AV adoption. For high quality and reliable perception of the driving environment, incoming data from multiple sensors need to be fused together using advanced computational algorithms, which requires a high compute load. As an alternative, infrastructure-based sensors can be designed to facilitate perception and sensing by supporting vehicle-to-infrastructure (V2I) information exchange. This work presents the initial development and evaluation of a novel energy efficient infrastructure-based sensor. The sensor, a chip-enabled raised pavement marker (CERPM), is capable of wireless communications to exchange environment information with AVs. As a test case, the developed CERPM is applied in real-world driving to perform lane line and drivable region detection for an AV. It is shown that CERPMs can be utilized to effectively detect the lane line and drivable region, which can improve perception while reducing the compute load.",

keywords = "AV, CERPM, GPS, Lane Detection, LoRa",

author = "Sachin Sharma and Ekti, {Ali Riza} and Rojas, {Johan F.} and Brown, {Nicolas E.} and David Pesin and Wang, {Chieh Ross} and Shean Huff and Laclair, {Tim J.} and Asher, {Zachary D.} and Meyer, {Richard T.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Sensors Conference, SENSORS 2022 ; Conference date: 30-10-2022 Through 02-11-2022",

year = "2022",

doi = "10.1109/SENSORS52175.2022.9967036",

language = "English",

series = "Proceedings of IEEE Sensors",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Sharma, S, Ekti, AR, Rojas, JF, Brown, NE, Pesin, D, Wang, CR, Huff, S, Laclair, TJ, Asher, ZD & Meyer, RT 2022, Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection. in 2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings. Proceedings of IEEE Sensors, vol. 2022-October, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Sensors Conference, SENSORS 2022, Dallas, United States, 10/30/22. https://doi.org/10.1109/SENSORS52175.2022.9967036

Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection. / Sharma, Sachin; Ekti, Ali Riza; Rojas, Johan F. et al.
2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of IEEE Sensors; Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pesin, David

AU - Wang, Chieh Ross

AU - Huff, Shean

AU - Laclair, Tim J.

AU - Asher, Zachary D.

AU - Meyer, Richard T.

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AB - Increased energy consumption from autonomous vehicle (AV) sensors and computational load as well as upfront costs of sensors are barriers to broad AV adoption. For high quality and reliable perception of the driving environment, incoming data from multiple sensors need to be fused together using advanced computational algorithms, which requires a high compute load. As an alternative, infrastructure-based sensors can be designed to facilitate perception and sensing by supporting vehicle-to-infrastructure (V2I) information exchange. This work presents the initial development and evaluation of a novel energy efficient infrastructure-based sensor. The sensor, a chip-enabled raised pavement marker (CERPM), is capable of wireless communications to exchange environment information with AVs. As a test case, the developed CERPM is applied in real-world driving to perform lane line and drivable region detection for an AV. It is shown that CERPMs can be utilized to effectively detect the lane line and drivable region, which can improve perception while reducing the compute load.

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Y2 - 30 October 2022 through 2 November 2022

ER -

Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection

Abstract

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Funding

Keywords

UN SDGs

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