ITSC 2025 Paper Abstract

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Paper WE-EA-T3.5

Kondo, Ryota (Nagoya University), Shimizu, Tsukasa (TOYOTA MOTOR CORPORATION), Shiba, Shintaro (Woven by Toyota), Kobori, Norimasa (Woven by Toyota Inc.), LU, SHAN (Nagoya University), Yamazato, Takaya (Nagoya University)

V2X Visible Light Communication Using Rolling Shutter Image Sensor with Offset Unary Encoding

Scheduled for presentation during the Regular Session "S03b-Connected Vehicle Technologies and Intelligent Infrastructure Systems" (WE-EA-T3), Wednesday, November 19, 2025, 14:50−14:50, Southport 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Keywords Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) Communication Applications for Traffic Management, Secure and Scalable V2X Communication Protocols for ITS, IoT for ITS Infrastructure: Smart Traffic Lights, Sensors, and Actuators

Abstract

This paper presents a visible light V2X communication framework employing a linear LED bar and a rolling shutter image sensor to facilitate robust, high-speed data exchange between vehicles and infrastructure. By exploiting the row-wise exposure characteristic of rolling shutter sensors, rapidly blinking LED signals appear as stripe patterns within the captured images, enabling the efficient extraction of transmitted data. To further improve the transmission rate, we implement offset unary encoding, which utilizes code length rather than absolute brightness to enhance resistance to ambient noise. In addition, a cyclic shift technique is introduced to minimize average transmission time by cyclically rotating quaternary symbols and selecting the most compact arrangement. The system also incorporates a localized image analysis procedure that isolates the LED region, reducing the impact of background interference. Field experiments conducted in a controlled test environment demonstrated reliable communication at speeds of up to 60 km/h, with accurate data transmission under those specific conditions, suggesting the approach’s potential for higher-speed operations. The use of standard automotive camera sensors and cost-effective LED devices highlights the practicality of this solution. Overall, the proposed system can serve as an efficient, low-cost, and easily deployable platform for future V2X applications, enhancing connectivity in intelligent transportation systems.

 

 

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