This paper presents a vector HD-map** algorithm that formulates the map** as a
tracking task and uses a history of memory latents to ensure consistent reconstructions over …

In autonomous driving, the high-definition (HD) map plays a crucial role in localization and
planning. Recently, several methods have facilitated end-to-end online map construction in …

In recent years, the field of autonomous vehicles has seen a significant increase in
academic research, with high-definition (HD) maps emerging as a critical component of …

Abstract Online vectorized High-Definition (HD) map construction is critical for downstream
prediction and planning. Recent efforts have built strong baselines for this task, however …

As autonomous driving systems being deployed to millions of vehicles, there is a pressing
need of improving the system's scalability, safety and reducing the engineering cost. A …

High-definition (HD) maps have played an integral role in the development of modern
autonomous vehicle (AV) stacks albeit with high associated labeling and maintenance costs …

Vectorized high-definition (HD) maps contain detailed information about surrounding road
elements, which are crucial for various downstream tasks in modern autonomous driving …

Currently high-definition (HD) map construction leans towards a lightweight online
generation tendency which aims to preserve timely and reliable road scene information …

Abstract Vectorized High-Definition (HD) map construction requires predictions of the
category and point coordinates of map elements (eg road boundary lane divider pedestrian …