Connectivity is a key enabler for next-generation autonomous vehicles. Developing and validating Connected and Autonomous Vehicle (CAV) services often requires extensive field testing, especially after initial pre-deployment tests. However, multiple field tests introduce high costs and logistical challenges, with no guarantee of consistent environmental conditions. This paper presents TRACEN-X (Telemetry Replay and Analysis of CAN bus and External Navigation data), the first open framework for collecting and reproducing navigation, sensor, and Controller Area Network (CAN) bus data from real-world scenarios in a controlled lab environment. By recreating real-world conditions, TRACEN-X streamlines development and validation, reducing costs and complexity. We validated our framework using data from a connected vehicle with ADAS sensors and a V2X-equipped stroller, demonstrating its potential in combination with a vehicular network simulator and an open ETSI C-ITS stack implementation.

TRACEN-X: Telemetry Replay and Analysis of CAN Bus and External Navigation Data / Gasco, Diego; Risma Carletti, Carlos Mateo; Raviglione, Francesco; Rapelli, Marco; Casetti, Claudio. - ELETTRONICO. - (2025), pp. 1-5. ( IEEE Vehicular Technology Conference (VTC2025-Fall) Chengdu (China) 19-22 October 2025) [10.1109/VTC2025-Fall65116.2025.11310216].

TRACEN-X: Telemetry Replay and Analysis of CAN Bus and External Navigation Data

Gasco, Diego;Risma Carletti, Carlos Mateo;Raviglione, Francesco;Rapelli, Marco;Casetti, Claudio
2025

Abstract

Connectivity is a key enabler for next-generation autonomous vehicles. Developing and validating Connected and Autonomous Vehicle (CAV) services often requires extensive field testing, especially after initial pre-deployment tests. However, multiple field tests introduce high costs and logistical challenges, with no guarantee of consistent environmental conditions. This paper presents TRACEN-X (Telemetry Replay and Analysis of CAN bus and External Navigation data), the first open framework for collecting and reproducing navigation, sensor, and Controller Area Network (CAN) bus data from real-world scenarios in a controlled lab environment. By recreating real-world conditions, TRACEN-X streamlines development and validation, reducing costs and complexity. We validated our framework using data from a connected vehicle with ADAS sensors and a V2X-equipped stroller, demonstrating its potential in combination with a vehicular network simulator and an open ETSI C-ITS stack implementation.
2025
979-8-3315-0320-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3000872