Nowadays, autonomous vehicle technology is becoming more and more mature. Critical to
progress and safety, high-definition (HD) maps, a type of centimeter-level map collected …

Autonomous vehicles benefit from correct maps to participate in traffic safely, but often maps
are not verified before their usage. We address this problem by providing an approach to …

With information from multiple input modalities, sensor fusion-based algorithms usually out-
perform their single-modality counterparts in robotics. Camera and LIDAR, with …

With the fast development of autonomous driving technologies, there is an increasing
demand for high-definition (HD) maps, which provide reliable and robust prior information …

An accurate road topological structure is of great importance for autonomous driving in
complex urban environments. Currently, most autonomous vehicles highly rely on the High …

Autonomous vehicles rely on lane-level high-definition (HD) maps for self-localization and
trajectory planning. Current mapping, however, relies on simple line models, while clothoid …

The lane graph is a key component for building high-definition (HD) maps and crucial for
downstream tasks such as autonomous driving or navigation planning. Previously, He et …

The prediction of surrounding agents' motion is a key for safe autonomous driving. In this
paper, we explore navigation maps as an alternative to the predominant High Definition …

High-definition (HD) maps offer precise positioning and dependable navigation capabilities,
which are essential to guarantee the safety of autonomous vehicles. Lane-level road …

The traditional mining industry confronts several challenges, including a hazardous working
environment, a labor shortage, and efficiency bottlenecks. Recent advances in autonomous …