Lane information plays an important role in high-definition (HD) maps because it provides
invaluable road information for autonomous vehicles. The most widely used lane extraction …

In this paper, we propose a new algorithm that derives lane marking maps from
crowdsourced data. We process the data in four steps:(i) We make use of a point landmark …

By providing rich context of lane information on roads, lane-level maps play a vital role in
intelligent transportation systems. Since Global Positioning Systems (GPS) have been …

Lane-based road information plays a critical role in transportation systems, a lane-based
intersection map is the most important component in a detailed road map of the …

This article presents a semi-automated method to extract the lane features along the curved
roads from mobile laser scanning (MLS) point clouds. The proposed method consists of four …

In this work, we propose a method to create crowdsourced HD map patches based on road
model inference and graph-based SLAM. As input data, we use higher level features such …

Lane-based road network information, such as the number and locations of traffic lanes on a
road, has played an important role in intelligent transportation systems. In this paper, we …

Lane line is a very important element in HD maps, and map updating based on information
can effectively reduce production cost. We use the images obtained by crowdsourcing for …

High Definition (HD) maps play an important role in modern traffic scenes. However, the
development of HD maps coverage grows slowly because of the cost limitation. To efficiently …

Current self-driving cars can perform precise localization and generate collision-free
trajectories using high definition (HD) maps which provide accurate road information …