- 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?
Using HD Maps to Navigate the Mobility Landscape高精細地図ナビゲーションによるモビリティ市場 米国調査会社ナビガントリサーチ(Navigant Research)の調査レポート 「高精細地図ナビゲーションによるモビリティ市場」 は、高精細グラフィックによる地図の利用を査定し、このような地図の構築手法につ... もっと見る
Summary米国調査会社ナビガントリサーチ(Navigant Research)の調査レポート「高精細地図ナビゲーションによるモビリティ市場」は、高精細グラフィックによる地図の利用を査定し、このような地図の構築手法についてや情報収集やデータ利用への助言、業務提携の可能性について論じている。高精細地図の様々な機能やこれらのツールの利用ケースについて記載している。OEM、ナビゲーションデータの従来のサプライヤ、新規参入企業へのガイダンスも記載している。 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.
Key Questions Addressed
Who Needs This Report
Table of Contents
Table Of Contents 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
List of Charts and Figures
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