High-definition (HD) maps provide a complementary source of information for Advanced
Driver Assistance Systems (ADAS), allowing them to better understand the vehicle's …

We present a new framework for creating lane-level detailed HD-maps at scale for
autonomous vehicles (AVs). In order to overcome scaling challenges of ground survey …

High-Definition (HD) maps can provide precise geometric and semantic information of static
traffic environments for autonomous driving. Road-boundary is one important information …

Highly accurate maps of the road infrastructure are a crucial cornerstone for self-driving cars
to enable navigation in complex traffic scenarios. Traditional methods for creating detailed …

Autonomous driving systems require High-Definition (HD) semantic maps to navigate
around urban roads. Existing solutions approach the semantic mapping problem by offline …

In this paper we propose an iterative Graph SLAM based approach to create HD maps from
series production vehicles fleet data. Only high level sensor measurements provided by …

High definition (HD) maps have demonstrated their essential roles in enabling full
autonomy, especially in complex urban scenarios. As a crucial layer of the HD map, lane …

Autonomous vehicle (AV) is one of the most challenging engineering tasks of our era. High-
Definition (HD) maps are a fundamental tool in the development of AVs, being considered …

HD map is a key enabling technology towards fully autonomous driving. We propose VI-
Map, the first system that leverages roadside infrastructure to enhance real-time HD …

Autonomous vehicles require an accurate and adequate representation of their environment
for decision making and planning in real-world driving scenarios. While deep learning …