High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology,
facilitating vehicles in positioning, environmental perception, and motion planning without …

Continuous maintenance and real-time update of high-definition (HD) maps is a big
challenge. With the development of autonomous driving, more and more vehicles are …

The integration of vehicle crowdsourcing with Multi-access Edge Computing (MEC) has
emerged as an efficient way for real-time data collection for high-definition (HD) map …

In response to the challenges faced by real-time dynamic updates of high-precision maps for
autonomous driving in terms of high precision, high reliability, and high safety, this paper …

Keeping crowdsourced maps up-to-date is important for a wide range of location-based
applications (route planning, urban planning, navigation, tourism, etc.). We propose a novel …

Accurate digital maps play a crucial role in various location-based services and applications.
However, store information is usually missing or outdated in current maps. In this paper, we …

A high-quality fresh high-definition (HD) map is vital in enhancing transportation efficiency
and safety in autonomous driving. Vehicle-based crowdsourcing offers a promising …

LiDAR‐based localization has been widely used for the pose estimation of autonomous
vehicles. Since the localization requires a sustainable map reflecting environment changes …

Crowd-mapping is a form of collaborative work that empowers users to gather and share
geographic knowledge. OpenStreetMap is one of the most successful examples of such …

In recent years, the rapid development of high-precision map technology combined with
artificial intelligence has ushered in a new development opportunity in the field of intelligent …