Juhee Lee  Sangheon Pack

10.5626/JOK.2025.52.8.709

Autonomous Driving AEB ACC Vehicle-to-Vehicle communication

Advancements in autonomous driving technologies- have led to ongoing efforts to enhance performance through vehicle-to-vehicle (V2V) communication. However, current V2V integration methods do not fully leverage new data types, such as brake and steering wheel data, and often replace existing sensor data with V2V data. This paper proposes two architectures designed to maximize the benefits of V2V communication for autonomous emergency braking (AEB) and adaptive cruise control (ACC) systems: V2V-empowered AEB with brake and steering wheel data (VEBS) and V2V-empowered ACC with brake and steering wheel data (VCBS). These architectures integrate sensor data with V2V communication, utilizing brake and steering wheel values obtained via V2V to enable more accurate predictions and faster responsiveness. Simulation results demonstrate that VEBS can avoid collisions and increase stopping distance by up to 243%, thereby enhancing safety. VCBS not only improves safety but also reduces average deceleration by up to 54%, contributing to enhanced ride comfort.