We’re thrilled to announce the publication of our research paper, “AutowareV2X: Reliable V2X Communication and Collective Perception for Autonomous Driving,” authored by our dedicated team at the University Lab: Yu Asabe, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, and Hiroshi Esaki. The paper is accepted by the prestigious 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), taking place in Florence, Italy, from 20-23 June 2023.
The paper explores the application of vehicle-to-everything (V2X) communication for cooperative intelligent transport systems (C-ITS). We introduce AutowareV2X, a novel V2X communication module integrated into the Autoware autonomous driving software. With features like the Collective Perception Service and a dual-channel mechanism, the module enhances road safety and reliability of autonomous vehicles by reducing data latency and improving collision avoidance maneuvers.
We’re also excited to announce that AutowareV2X has been open-sourced on our GitHub repository at https://github.com/tlab-wide/AutowareV2X. This move is part of our commitment to collaborative development and innovation in autonomous vehicular technology.