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 …

High-definition (HD) vectorized map is essential for autonomous driving, providing detailed
and precise environmental information for advanced perception and planning. However …

Autonomous driving has traditionally relied heavily on costly and labor-intensive High
Definition (HD) maps, hindering scalability. In contrast, Standard Definition (SD) maps are …

While bird's-eye-view (BEV) perception models can be useful for building high-definition
maps (HD-Maps) with less human labor, their results are often unreliable and demonstrate …

Autonomous vehicles rely extensively on perception systems to navigate and interpret their
surroundings. Despite significant advancements in these systems recently, challenges …

Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …

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

Online high-definition (HD) map construction is an important and challenging task in
autonomous driving. Recently, there has been a growing interest in cost-effective multi-view …