Extended Abstract, Intetics Inc.
4851 Tamiami Trail N, Suite 200, Naples, FL 34103-3098, United States
www.intetics.com
Keywords: Maps, Onboard Navigation Systems, Digital Navigation, HD Mapping, Autonomous Driving, Automated Vehicle, AV, Field Data Collection, Map Coding, Quality Assurance, Crowd Control, ADAS
Onboard navigation systems have evolved into sophisticated entities connected to cloud technologies. These systems offer autonomous location search, route planning, turn-by-turn voice guidance, real-time traffic and weather updates, and insights into parking and charging stations, all geared towards optimizing navigation and driving experiences.
Modern navigation systems seamlessly integrate with driver assistance or autopilot capabilities, relying on satellite signals for precise positioning and leveraging highly detailed digital navigation maps.
Maintaining the accuracy and relevance of such detailed maps involves a technologically complex production process.
The White Paper delves into the foundational elements of digital navigation, explores prevailing trends, dissects industry standards, and navigates through the essential stages of navigation map development. From initial field data collection and mapping road conditions to utilizing crowd-sourced data and artificial intelligence, this review aims to shed light on the intricacies involved in ensuring that navigation maps stay consistently up to date.
About Navigation Maps
The section offers insights into the first navigation systems and maps and their evolution, terms like positional accuracy, map update process, maps metadata, and an overview of the largest manufacturers in terms of location platform effectiveness.
Mapmaking
You’ll explore the four main stages of navigation maps production, including mobile mapping, data processing, data analysis, and ultra-HD mapping.
Field Data Collection
Here is described the most important step in the creation of navigational charts—field data collection—the purpose of which is to collect actual data on road conditions and to model the road corridor. Discover light and pro survey equipment required at different collection strategies and specialized mobile mapping systems (MMS) used to comprehensively collect all road conditions data.
Map Coding
Important aspects of map coding—integration of collected field information into specialized GIS software for map updates—are reviewed in this section. A special focus is made on the existing data types and map features, aerial, satellite, and open data imagery sources, thematic map creation, and advanced mapping for ADAS.
Quality Assurance and Crowd Control
This section focuses on two integral processes of navigation map production: Quality Assurance and Crowd Control.
AI and ML
Enhanced automation, improved accuracy, and the ability to process vast amounts of spatial data are achieved by leveraging AI and ML in the mapmaking process. Different AI applications are reviewed here, including traffic sign detection recognition, building footprints extraction, rooftop classification, and more.
Automated Vehicles and & HD Maps
The section is dedicated to automated vehicles (AV), levels of driving automation, HD maps for AV and their update process, and challenges for autonomous driving and HD maps.
Conclusions
Finally, the White Paper consolidates the intricate process of digital navigation maps production for automotive industry. Here you’ll also find the industry standards, glossary with key terminology, and a list of events and communities potentially valuable for all associated with the automotive industry.
