IP Library Granted Patent US 12,411,082
Granted Patent B2
US 12,411,082 · App. 18/208,494 · Granted Sep 9, 2025

Methods and systems for sensing a road surface

Inventors: Kannan Srinivasan (Columbus, OH); Wei Sun (Columbus, OH)
Assignee: Ohio State Innovation Foundation
G01N21/47G01N23/04G01N2021/4709
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Quick Facts
Patent No.
US 12,411,082
App. No.
18/208,494
Granted
Sep 9, 2025
Kind
B2
Abstract

An example system for remote sensing of a road surface includes an antenna configured to transmit and receive radiofrequency (RF) signals, where the antenna is configured to attach to a front end of a vehicle; at least one radiofrequency identification (RFID) tag, where the at least one RFID tag is configured to attach to the front end of a vehicle; and an RFID reader, wherein the RFID reader is configured to: cause the antenna to transmit a radiofrequency signal toward a road surface, where the at least one RFID tag receives a backscattered RF signal from the road surface; receive, from the antenna, an RFID signal from the first RFID tag, the RFID signal comprising phase and magnitude information; and analyze the phase and magnitude information to determine a condition of the road surface.

Claims (29)

1. A method for remote sensing of a road surface comprising:

transmitting, by a transmitting antenna, a radiofrequency signal toward a road surface;

receiving, by a first radiofrequency identification (RFID) tag, a first backscattered radiofrequency signal from the road surface;

receiving, by a receiving antenna, an RFID signal from the first RFID tag, the RFID signal comprising phase and magnitude information;

wherein the method further comprises receiving, using a second RFID tag, a second backscattered radiofrequency signal;

analyzing, by an RFID reader, the phase and magnitude information to determine a condition of the road surface, wherein the condition of the road surface comprises a three-dimensional shape of the road surface; and

determining the three-dimensional shape of the road surface using the RFID tag and the second RFID tag.

2. The method of claim 1 , wherein the step of analyzing, by the RFID reader, the phase and magnitude information to determine the condition of the road surface further comprises obtaining a road information by performing signal cancelation on the magnitude and phase information; wherein the signal cancelation removes a multipath effect from the phase and magnitude information; and wherein the road information represents a magnitude and phase of a signal reflected by the road surface.

3. The method of claim 2 , wherein performing signal cancelation further comprises removing a line-of-sight propagation channel between the RFID reader and the first RFID tag.

4. The method of claim 1 , wherein the step of analyzing, by the RFID reader, the phase and magnitude information to determine the condition of the road surface further comprises determining, using the condition of the road surface, a shape of the road surface.

5. The method of claim 1 , wherein the condition of the road surface comprises a location of one or more bumps, potholes, or irregularities in the road surface.

6. The method of claim 1 , wherein the condition of the road surface comprises a depth of one or more potholes in the road surface.

7. The method of claim 1 , wherein the RFID tag and the second RFID tag are spaced on opposite sides of a vehicle.

8. The method of claim 1 , wherein the phase information comprises a phase offset.

9. A system for remote sensing of a road surface comprising:

an antenna configured to transmit and receive radiofrequency (RF) signals, wherein the antenna is configured to attach to a front end of a vehicle;

a plurality of radiofrequency identification (RFID) tags comprising a first RFID tag configured to attach to the front end of the vehicle and a second RFID tag; and

an RFID reader, wherein the RFID reader is configured to:

cause the antenna to transmit an RF signal toward a road surface, wherein first RFID tag receives a backscattered RF signal from the road surface and the second RFID Tag receives a second backscattered radiofrequency signal from the road surface;

receive, from the antenna, an RFID signal from the first RFID tag and the second RFID tag, the RFID signal comprising phase and magnitude information; and

analyze the phase and magnitude information to determine a condition of the road surface wherein the condition of the road surface comprises a three-dimensional shape of the road surface;

determine the three-dimensional shape of the road surface using the first RFID tag and the second RFID tag.

10. The system of claim 9 , wherein the RFID reader is further configured to analyze the phase and magnitude information to determine the condition of the road surface by obtaining a road information by performing signal cancelation on the magnitude and phase information; wherein the signal cancelation removes a multipath effect from the phase and magnitude information; and wherein the road information represents a magnitude and phase of a signal reflected by the road surface.

11. The system of claim 10 , wherein performing signal cancelation further comprises removing a line-of-sight propagation channel between the RFID reader and at least one RFID tag of the plurality of RFID tags.

12. The system of claim 9 , wherein the RFID reader is further configured to determine, using the condition of the road surface, a shape of the road surface.

13. The system of claim 9 , wherein the condition of the road surface comprises a location of one or more bumps, potholes, or irregularities in the road surface.

14. The system of claim 9 , wherein the condition of the road surface comprises a depth of one or more potholes in the road surface.

15. The system of claim 1 , wherein the first RFID tag and the second RFID tag are spaced on opposite sides of the vehicle.

16. The system of claim 9 , wherein the phase information comprises a phase offset.

Assignments (2)
CONFIRMATORY LICENSE Recorded Mar 31, 2025
From: OHIO STATE UNIVERSITY
To: NATIONAL SCIENCE FOUNDATION
Reel/Frame 070681/0121 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2023
From: SRINIVASAN, KANNAN; SUN, WEI
To: OHIO STATE INNOVATION FOUNDATION
Reel/Frame 064869/0607 →
Continuity (2)
Provisional Application 63370944 · Aug 10, 2022
Related Publication 20240053266A1 · Feb 15, 2024
References Cited (53)
US 20080069027A1 · Kong · 2008 [cited by examiner]
US 20200047581A1 · Kokotovic · 2020 [cited by examiner]
US 20240053266A1 · Srinivasan · 2024 [cited by examiner]
US 20250057633A1 · Hilse · 2025 [cited by examiner]
CA 3155591A1 · 2021 [cited by examiner]
CN 113671491A · 2021 [cited by examiner]
DE 102014214927A1 · 2016 [cited by examiner]
DE 102018203924A1 · 2019 [cited by examiner]
WO WO2022140477A1 · 2022 [cited by examiner]
WO WO2022140657A1 · 2022 [cited by examiner]
Automatic road analyzer. https://www.wtae.com/article/aran-on-the-prowl-automatic-road-analyzer-gathers-information-to-mapfuture-state-road-repairs-1/7462861. [cited by applicant]
Understanding the Link Between Unsafe Road Conditions and Car Accidents. https://www.makeroadssafe.org/understanding-the-linkbetween-unsafe-road-conditions-and-car-accidents/. [cited by applicant]
Omid Abari, Deepak Vasisht, Dina Katabi, and Anantha Chandrakasan. 2015. Caraoke: An e-toll transponder network for smart cities.In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication.… [cited by applicant]
Alien. 2020. ALR-8697-8. https://www.alientechnology.com/products/antennas/alr-8697-8/. [cited by applicant]
Zhenlin An, Qiongzheng Lin, and Lei Yang. 2018. Cross-frequency communication: Near-field identification of uhf rfids with wifi!. InProceedings of the 24th Annual International Conference on Mobile Computing and Network… [cited by applicant]
AtlasRFIDstore. 2020. Commodity passive RFID tags. https://www.atlasrfidstore.com/rfid-tag-sample-pack-uhf-passive/. [cited by applicant]
AtlasRFIDstore. 2020. Commodity Passive RFID tags. https://www.atlasrfidstore.com/rfid-tags/. [cited by applicant]
Joshua F Ensworth and Matthew S Reynolds. 2015. Every smart phone is a backscatter reader: Modulated backscatter compatibility withbluetooth 4.0 low energy (ble) devices. In 2015 IEEE international conference on RFID (R… [cited by applicant]
Jakob Eriksson, Lewis Girod, Bret Hull, Ryan Newton, Samuel Madden, and Hari Balakrishnan. 2008. The pothole patrol: using a mobilesensor network for road surface monitoring. In Proceedings of the 6th international conf… [cited by applicant]
Junfeng Guan, Sohrab Madani, Suraj Jog, Saurabh Gupta, and Haitham Hassanieh. 2020. Through Fog High-Resolution Imaging Using Millimeter Wave Radar. In Proceedings of the IEEE/CVF Conference on Computer Vision and Patte… [cited by applicant]
Abhishek Gupta, Shaohan Hu,Weida Zhong, Adel Sadek, Lu Su, and Chunming Qiao. 2020. Road Grade Estimation Using Crowd-SourcedSmartphone Data. In 2020 19th ACM/IEEE International Conference on Information Processing in S… [cited by applicant]
Unsoo Ha, Junshan Leng, Alaa Khaddaj, and Fadel Adib. 2020. Food and Liquid Sensing in Practical Environments using RFIDs. In 17th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 20). 1083-1100. [cited by applicant]
Jens Jauch, Johannes Masino, Tim Staiger, and Frank Gauterin. 2017. Road grade estimation with vehicle-based inertial measurement unit and orientation filter. IEEE Sensors Journal 18, 2 (2017), 781-789. [cited by applicant]
Haojian Jin, Zhijian Yang, Swarun Kumar, and Jason I Hong. 2018. Towards wearable everyday body-frame tracking using passive rfids. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, … [cited by applicant]
Nikos Kargas, Fanis Mavromatis, and Aggelos Bletsas. 2015. Fully-coherent reader with commodity SDR for Gen2 FM0 and computational RFID. IEEE Wireless Communications Letters 4, 6 (2015), 617-620. [cited by applicant]
Keiko Katsuragawa, Ju Wang, Ziyang Shan, Ningshan Ouyang, Omid Abari, and Daniel Vogel. 2019. Tip-Tap: Battery-free Discrete 2D Fingertip Input. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software… [cited by applicant]
Rushil Khurana and Mayank Goel. 2020. Eyes on the Road: Detecting Phone Usage by Drivers Using On-Device Cameras. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1-11. [cited by applicant]
Martin Laurenzis, Frank Christnacher, Emmanuel Bacher, Nicolas Metzger, Stéphane Schertzer, and Thomas Scholz. 2011. Newapproaches of three-dimensional range-gated imaging in scattering environments. In Electro-Optical … [cited by applicant]
Jaeyoung Lee, BooHyun Nam, and Mohamed Abdel-Aty. 2015. Effects of pavement surface conditions on traffic crash severity. Journal of Transportation Engineering 141, 10 (2015), 04015020. [cited by applicant]
Yunfei Ma, Nicholas Selby, and Fadel Adib. 2017. Minding the billions: Ultra-wideband localization for deployed rfid tags. In Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking. 2… [cited by applicant]
Prashanth Mohan, Venkata N Padmanabhan, and Ramachandran Ramjee. 2008. Nericell: rich monitoring of road and traffic conditions using mobile smartphones. In Proceedings of the 6th ACM conference on Embedded network sens… [cited by applicant]
Kun Qian, Shilin Zhu, Xinyu Zhang, and Li Erran Li. 2021. Robust Multimodal Vehicle Detection in FoggyWeather Using Complementary Lidar and Radar Signals. In Proceedings of the IEEE/CVF Conference on Computer Vision and… [cited by applicant]
Ettus Research. 2020. USRP N210. https://www.ettus.com/product/details/UN210-KIT/. [cited by applicant]
Guy Satat, Matthew Tancik, and Ramesh Raskar. 2018. Towards photography through realistic fog. In 2018 IEEE International Conference on Computational Photography (ICCP). IEEE, 1-10. [cited by applicant]
Fatjon Seraj, Berend Jan van der Zwaag, Arta Dilo, Tamara Luarasi, and Paul Havinga. 2015. RoADS: A road pavement monitoring system for anomaly detection using smart phones. In Big data analytics in the social and ubiqu… [cited by applicant]
Wei Sun and Kannan Srinivasan. [n. d.]. Allergie: Relative Vehicular Localization with Commodity RFID System. In 2020 IEEE International Conference on RFID (RFID). IEEE, 1-8. [cited by applicant]
Saurabh Tiwari, Ravi Bhandari, and Bhaskaran Raman. 2020. Roadcare: a deep-learning based approach to quantifying road surface quality. In Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societ… [cited by applicant]
Jue Wang, Fadel Adib, Ross Knepper, Dina Katabi, and Daniela Rus. 2013. RF-compass: Robot object manipulation using RFIDs. In Proceedings of the 19th annual international conference on Mobile computing & networking. 3-1… [cited by applicant]
Ju Wang, Liqiong Chang, Shourya Aggarwal, Omid Abari, and Srinivasan Keshav. 2020. Soil moisture sensing with commodity RFID systems. In Proceedings of the 18th International Conference on Mobile Systems, Applications, … [cited by applicant]
Jue Wang and Dina Katabi. 2013. Dude, where's my card? RFID positioning that works with multipath and non-line of sight. In Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM. 51-62. [cited by applicant]
Ju Wang, Jianyan Li, Mohammad Hossein Mazaheri, Keiko Katsuragawa, Daniel Vogel, and Omid Abari. 2020. Sensing finger input using an RFID transmission line. In Proceedings of the 18th Conference on Embedded Networked Se… [cited by applicant]
Jingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain, Jason I Hong, Carmel Majidi, and Swarun Kumar. 2019. RFID Tattoo: A Wireless Platform for Speech Recognition. Proceedings of the ACM on Interactive, M… [cited by applicant]
Jue Wang, Deepak Vasisht, and Dina Katabi. 2014. RF-IDraw: virtual touch screen in the air using RF signals. ACM SIGCOMM Computer Communication Review 44, 4 (2014), 235-246. [cited by applicant]
Ju Wang, Jie Xiong, Xiaojiang Chen, Hongbo Jiang, Rajesh Krishna Balan, and Dingyi Fang. 2017. TagScan: Simultaneous target imaging and material identification with commodity RFID devices. In Proceedings of the 23rd Ann… [cited by applicant]
Jingxian Wang, Junbo Zhang, Rajarshi Saha, Haojian Jin, and Swarun Kumar. 2019. Pushing the range limits of commercial passive RFIDs. In 16th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 19)… [cited by applicant]
Yinsong Wang, Yajie Zou, Kristian Henrickson, Yinhai Wang, Jinjun Tang, and Byung-Jung Park. 2017. Google Earth elevation data extraction and accuracy assessment for transportation applications. PloS one 12, 4 (2017), e… [cited by applicant]
Teng Wei and Xinyu Zhang. 2016. Gyro in the air: tracking 3D orientation of batteryless internet-of-things. In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking. 55-68. [cited by applicant]
Binbin Xie, Jie Xiong, Xiaojiang Chen, and Dingyi Fang. 2020. Exploring commodity RFID for contactless sub-millimeter vibration sensing. In Proceedings of the 18th Conference on Embedded Networked Sensor Systems. 15-27. [cited by applicant]
Lei Yang, Yekui Chen, Xiang-Yang Li, Chaowei Xiao, Mo Li, and Yunhao Liu. 2014. Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices. In Proceedings of the 20th annual international confe… [cited by applicant]
Lei Yang, Qiongzheng Lin, Xiangyang Li, Tianci Liu, and Yunhao Liu. 2015. See through walls with COTS RFID system!. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. 487-499. [cited by applicant]
Panlong Yang, Yuanhao Feng, Jie Xiong, Ziyang Chen, and Xiang-Yang Li. 2020. RF-Ear: Contactless Multi-device Vibration Sensing and Identification Using COTS RFID. In IEEE INFOCOM 2020—IEEE Conference on Computer Commun… [cited by applicant]
Xiaobin Zhang, Liangfei Xu, Jianqiu Li, and Minggao Ouyang. 2013. Real-time estimation of vehicle mass and road grade based on multi-sensor data fusion. In 2013 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE,… [cited by applicant]
Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, and Lu Su. 2019. A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. Proceedings of the ACM on Interactive, Mobile, … [cited by applicant]