In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …

Objectives High definition (HD) map plays an important role in autonomous driving. Most
existing research focuses on high-resolution mapping in terms of road geometries as well as …

Objectives The “non-visual” and machine-oriented characteristics of high definition map
distinguish them from traditional human-oriented spatiotemporal products. Correspondingly …

The complexity inherent in navigating intricate traffic environments poses substantial hurdles
for intelligent driving technology. The continual progress in mapping and sensor …

Vehicles planning to exit at an upcoming freeway off-ramp require adequate exit distance to
execute lane change maneuvers, otherwise, traffic disturbances may be experienced. This …

无人平台对复杂环境的自主认知能力是制约其广泛应用的关键问题, 已成为当前认知科学,
人工智能, 地图学等领域的研究热点. 在机器地图的概念模型和认知特点的基础上 …

Autonomous ships are expected to extensively rely on perception sensors for situation
awareness and safety during challenging operations, such as reactive collision avoidance …

高精地图的“非视觉” 和面向机器特性, 使其与传统面向人的时空产品有明显不同,
相应的描述地图主, 客体及其与产品之间关系的传输模型也面临巨大变革 …

Lane-level self-localization is a critical task in the field of autonomous driving. Map-based
self-localization is commonly employed to achieve lane-level accuracy in urban settings …

高精地图在自动驾驶应用落地的进程中发挥着重要作用, 目前大多数研究都着眼于对高精地图中
道路几何结构的高精度表征和道路静态信息的更新方面. 然而, 对路网交通中存在的大量且具有 …