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Automotive HD Maps: Repurposing HD Map Content in Non-Autonomous Driving Applications
Automotive HD Maps: Repurposing HD Map Content in Non-Autonomous Driving Applications
Price: Starting at USD 1,950
Publish Date: 11 Sep 2024
Code: AN-5542
Research Type: Research Report
Pages: 11
Purchase
RELATED SERVICE:
Smart Mobility & Automotive
Report Detail
Table of Contents
Companies Mentioned
Related Research
Related Insights
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Table of Contents
Companies Mentioned
Related Research
Related Insights
Purchase
Actionable Benefits
Formulate a strategy to monetize Autonomous Vehicle (AV)/High-Definition (HD) maps outside of the core autonomous driving use case.
Identify the most important AV/HD map attribution when targeting adjacent opportunities.
Understand how the opportunity varies according to static versus crowdsourced maps.
Critical Questions Answered
How many Advanced Driver-Assistance Systems (ADAS)-equipped vehicles will contribute to the maintenance of autonomous vehicles by 2034?
What is the most useful attribution that should be repurposed?
Should I focus on other automotive domains, or on smart city use cases?
Research Highlights
Forecast of vehicles contributing to map maintenance, split by ADAS data versus basic probe data
Strategic recommendations for map visualization using HD map data.
Strategic recommendations for urban/smart city use cases using HD map data.
Who Should Read This?
ADAS map product owners looking to expand revenue in the face of limited AV adoption.
Map platform owners integrating multiple map products into a common mapping platform.
Sensor technology suppliers examining the value of their technology beyond autonomous driving.
Table of Contents
1. KEY FINDINGS
2. KEY FORECASTS
3. KEY COMPANIES AND ECOSYSTEMS
3.1. ESTABLISHED LOCATION SERVICE PROVIDERS
3.2. NEW ENTRANTS TO LOCATION SERVICES FROM THE AUTONOMOUS VEHICLE SPACE
4. CONTENT VERSUS PLATFORM
5. RICH VISUALIZATION?LESS IS MORE
6. AUTOMOTIVE-GRADE IN URBAN CONTEXTS
Companies Mentioned
HERE Technologies
Mapbox
Mobileye
NVIDIA
TomTom
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