Review and challenge: High definition map technology for intelligent connected vehicle

Area of Science:

• Autonomous Driving Systems
• Geospatial Information Science
• Robotics

Background:

• High Definition (HD) maps are essential for safe and effective autonomous driving.
• A lack of clear definitions and comprehensive reviews hinders research and development in HD map technology for intelligent connected vehicles (ICVs).

Purpose of the Study:

• To provide a thorough analysis of HD map technology for ICVs.
• To bridge the knowledge gap for new researchers by reviewing current HD map products and datasets.
• To outline future research challenges and directions.

Main Methods:

• Literature review and synthesis of existing research on HD maps.
• Analysis of HD map taxonomy, ontology, content, and standards.
• Discussion of algorithms for HD map creation and updating.
• Identification of current HD map products and open-source datasets.

Main Results:

• A comprehensive overview of HD map technology, including its history, core concepts, and standards.
• Details on the mapping process, algorithms, and available datasets.
• An examination of HD map applications in ICVs and a summary of existing products.

Conclusions:

• Addressing key research challenges is vital for advancing HD map integration in ICVs.
• This review serves as a foundational resource for researchers and developers in the field of autonomous driving.
• Future work should focus on overcoming identified challenges to enhance HD map capabilities for ICVs.