1Q 2019

Using HD Maps to Navigate the Mobility Landscape

The automotive industry is facing the greatest transformation in its 130-plus year history. The fundamental business model of designing, manufacturing, and selling vehicles, parts, and services to consumers is expected to be supplanted by a shift to providing mobility-derived services in the next few decades. A key building block of this shift is location awareness and the ability for a vehicle to navigate between any desired locations. Whether in old-fashioned paper form or a modern digital version, basic street-level maps have always helped travelers navigate. However, these are now insufficient for the upcoming mobility paradigm.

As the automotive industry accelerates toward electrification, automation, and connectivity, embedded navigation with high definition (HD) maps becomes increasingly important. In recent years, several manufacturers have already begun using topographical information as an input to powertrain control and others are using road contour information to manage speed in partially automated driving systems. Highly automated vehicles will require detailed HD maps to enable precise localization. This new age of maps is targeted more at the electronic control systems running in the vehicle than at drivers.

This Navigant Research report assesses the use cases for HD mapping, discusses the means for building these maps, and provides recommendations for enabling the collection and use of data and potential business arrangements. The study describes various functionalities of HD maps as well as use cases for these tools. Guidance is provided for OEMs, traditional suppliers of navigation data, and new entrants into the field.

Pages 16
Tables | Charts | Figures 3
  • Why are machine-readable HD maps needed for new mobility applications?
  • How is the data for HD maps collected?
  • Can HD maps generate new revenue?
  • Is crowdsourcing map data viable?
  • Who owns and secures the data?
  • Vehicle manufacturers
  • Automotive industry suppliers
  • Mapping and navigation providers
  • Commercial fleet managers
  • Mobility service providers
  • City managers
  • Government agencies
  • Investor community

Spark

Context

Recommendations

Mapping the World in Machine-Readable Form

HD Maps Are Needed to Enable Future Mobility

Automated Driving Requires Embedded HD Maps

Creating a Longer-Range Sensor through Maps

Determining Absolute Position with Simultaneous Localization and Mapping

Creating a Route for Navigation

HD Maps Can Help Improve Propulsion Efficiency

Location Enables New Revenue-Generating Services

Maps Are Necessary for Dispatch and Logistics of Automated Vehicles

Capturing the World in Bits and Bytes

Fleets of Specialized Vehicles Have Been Collecting Map Data for Years

Automatic Extraction of Data from Satellite Imagery

Using the Crowd as a Key Source of Real-Time Map Updates

Understanding Areas of Interest Using Big Data and Machine Learning

Creating HD Maps by Additive Manufacturing

Determining the Ground Truth of Data

Aggregation and Distribution of Data to Users

Reading HD Maps on the Go

Using Smartphone Projection for Onboard Navigation

Determine Ownership of Data and Who Profits from It

Ensure Universal Connectivity in New Vehicles

Ensure Consumers Understand the Data Being Shared and the Benefits Received

Establish Data Privacy and Security

Use Peering as the New Business Model for Mapping

  • TomTom RoadDNA HD Map with Simplified Visualization
  • WaveSense Ground-Penetrating Radar
  • Multi-Layered HD Map Model    
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