SoftBank develops Multimodal AI for Autonomous Driving with Edge AI Servers
SoftBank Corp. (“SoftBank”) announced it developed a traffic understanding multimodal AI* designed for remote support of autonomous driving, designed to operate on low-latency edge AI servers with the goal of achieving fully unmanned operations. The traffic understanding multimodal AI aims to address key challenges in the social implementation of autonomous driving by enhancing vehicle safety and reducing operational costs through external support. By running the multimodal AI in real time on SoftBank's MEC (Multi-access Edge Computing) and other edge AI servers with low latency and high security, the system enables real-time understanding of autonomous vehicle status, providing reliable remote support for autonomous driving. In October 2024, SoftBank launched a field trial of this remote support solution for autonomous driving using the traffic understanding multimodal AI at the Keio University Shonan Fujisawa Campus (location: Fujisawa, Kanagawa, “SFC”). This experiment aims to v...