Vault AI is an advanced autonomous driving software stack designed for Level 4 and Level 5 self-driving applications. Built on a modular architecture, it provides perception, localization, mapping, planning, and control functionalities necessary for fully autonomous vehicles. The system integrates sensor fusion capabilities using LiDAR, cameras, and radar, enabling real-time object detection and environmental awareness. Vault AI also supports high-definition (HD) mapping and simultaneous localization and mapping (SLAM) to ensure precise navigation in complex urban environments. Additionally, it incorporates robust path planning algorithms that handle dynamic traffic scenarios, optimizing for safety, efficiency, and smooth driving experiences.

The software is built with extensibility in mind, offering compatibility with ROS (Robot Operating System) and a variety of vehicle platforms. It supports vehicle-to-everything (V2X) communication for enhanced situational awareness, allowing autonomous vehicles to interact with traffic signals, other vehicles, and infrastructure. Vault AI also features real-time decision-making powered by AI and machine learning, enabling adaptive driving strategies in unpredictable road conditions. Its open-source foundation allows for continuous improvement and community-driven enhancements, making it a flexible and scalable solution for developers and automotive companies alike.