{"ID":2874556,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.04061","arxiv_id":"2509.04061","title":"Integrated Wheel Sensor Communication using ESP32 -- A Contribution towards a Digital Twin of the Road System","abstract":"While current onboard state estimation methods are adequate for most driving and safety-related applications, they do not provide insights into the interaction between tires and road surfaces. This paper explores a novel communication concept for efficiently transmitting integrated wheel sensor data from an ESP32 microcontroller. Our proposed approach utilizes a publish-subscribe system, surpassing comparable solutions in the literature regarding data transmission volume. We tested this approach on a drum tire test rig with our prototype sensors system utilizing a diverse selection of sample frequencies between 1 Hz and 32 000 Hz to demonstrate the efficacy of our communication concept. The implemented prototype sensor showcases minimal data loss, approximately 0.1% of the sampled data, validating the reliability of our developed communication system. This work contributes to advancing real-time data acquisition, providing insights into optimizing integrated wheel sensor communication.","short_abstract":"While current onboard state estimation methods are adequate for most driving and safety-related applications, they do not provide insights into the interaction between tires and road surfaces. This paper explores a novel communication concept for efficiently transmitting integrated wheel sensor data from an ESP32 micro...","url_abs":"https://arxiv.org/abs/2509.04061","url_pdf":"https://arxiv.org/pdf/2509.04061v2","authors":"[\"Ventseslav Yordanov\",\"Simon Schäfer\",\"Alexander Mann\",\"Stefan Kowalewski\",\"Bassam Alrifaee\",\"Lutz Eckstein\"]","published":"2025-09-04T09:47:10Z","proceeding":"cs.RO","tasks":"[\"cs.RO\"]","methods":"[]","has_code":false}