表紙
市場調查報告書

使用HD Maps導航的行動形勢

Using HD Maps to Navigate the Mobility Landscape

出版商 Guidehouse Insights (formerly Navigant Research) 商品編碼 803188
出版日期 內容資訊 英文 16 Pages; 3 Tables, Charts & Figures
訂單完成後即時交付
價格
使用HD Maps導航的行動形勢 Using HD Maps to Navigate the Mobility Landscape
出版日期: 2019年03月11日內容資訊: 英文 16 Pages; 3 Tables, Charts & Figures
簡介

本報告提供HD Maps的利用案例相關調查,探討這些地圖製作法,並提供支持資料的收集·利用和潛在業務安排的建議,同時彙整HD地圖各種功能與這些工具的利用案例等資料。

以機器可讀形式繪製世界

  • 需要高清地圖才能實現未來的行動性

位元與字節捕捉世界

  • 專業車隊已經收集了多年的地圖數據
  • 從衛星影像自動提取資料
  • 使用Crowd作為實時地圖更新的關鍵來源
  • 通過增材製造創建HD地圖
  • 決策地上檢驗資料
  • 向用戶匯總和分發數據
  • 隨時隨地閱讀高清地圖

資料的所有權與該受益者的決策

  • 確保新車輛的通用連接
  • 確保消費者了解共享的數據和收到的好處
  • 確立資料隱私和安全性
  • 使用Peering作為製圖的新業務模型
目錄
Product Code: SI-HNM-19

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

  • 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?

Who Needs This Report

  • Vehicle manufacturers
  • Automotive industry suppliers
  • Mapping and navigation providers
  • Commercial fleet managers
  • Mobility service providers
  • City managers
  • Government agencies
  • Investor community

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

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