Self-healing maps: Protecting maps through automatic updating processes

该项目旨在扩大我们的能力，自动集成实时数据在地图数据库的高度完整性。我们实时感知环境的能力大大超过了我们自动可靠地集成地图数据的能力。地图数据的质量保证是一个漫长的过程，导致地图过时或完整性低。然后，紧急救援人员、交通服务部门和公众根据地图数据采取行动，造成延误和干扰。该项目旨在提供受人类免疫系统启发的自我修复机制，保护地图免受错误或恶意数据的影响，并检测和纠正不一致性。

This project aims to expand our ability to automatically integrate real-time data in map databases of high integrity. Our ability to sense the environment in real-time dramatically exceeds our ability to automatically and reliably integrate mapped data. The quality assurance of map data is a lengthy process, leading either to outdated or low integrity maps. Emergency responders, traffic services and the public then act on map data that cause delays and disturbances. This project intends to deliver self-healing mechanisms inspired by the human immune system, which protect maps from erroneous or malicious data, and detect and correct inconsistencies.