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市場調查報告書

先進駕駛輔助系統 (ADAS) 及高清晰度 (HD) 製圖的歐洲、北美市場:2018年

European and North American Advanced Driver Assistance Systems (ADAS) and High Definition (HD) Mapping Market, 2018

出版商 Frost & Sullivan 商品編碼 824918
出版日期 內容資訊 英文 74 Pages
商品交期: 最快1-2個工作天內
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先進駕駛輔助系統 (ADAS) 及高清晰度 (HD) 製圖的歐洲、北美市場:2018年 European and North American Advanced Driver Assistance Systems (ADAS) and High Definition (HD) Mapping Market, 2018
出版日期: 2019年04月09日內容資訊: 英文 74 Pages
簡介

本報告提供歐洲及北美先進駕駛車支援系統 (ADAS) 及高清晰度 (HD) 製圖市場相關調查,製圖市場概要,各種地圖的差異與其支援的自動駕駛等級,有助於自動駕駛車的安全駕駛的ADAS/HD地圖的零組件和特性,主要的製圖參與企業等相關分析。

第1章 摘要整理

第2章 調查範圍、目的、手法

第3章 定義

第4章 ADAS、HD地圖的簡介

  • SD,ADAS,及HD地圖
  • 自動駕駛車、ADAS、HD地圖
  • HD地圖的要素

第5章 地圖的建立

  • HD製圖流程
  • HD製圖工具
  • HD基礎地圖的重要性

第6章 製圖參與企業的區分

  • 製圖企業的區分
  • 端到端製圖企業
  • 雲端來源製圖企業
  • 內部製圖企業

第7章 簡介:端到端製圖

  • HERE
  • TomTom
  • Civil Maps
  • CARMERA
  • Sanborn Map
  • Voxelmaps

第8章 簡介:群眾外包製圖

  • Mobileye
  • DeepMap
  • Mapper.ai
  • Mapbox

第9章 簡介:內部製圖

  • Waymo
  • Oxbotica
  • Drive.ai

第10章 成長機會、CTA (推薦行動)

  • 來自成長機會:OEM/TSP的投資、聯盟
  • 成功、成長的策略必要事項

第11書 結論、未來展望

第12章 附錄

目錄
Product Code: ME85-18

Start-ups, With Their Innovative Business Model Will End the Dominance of Traditional Map Developers

In today's world, while robots have the capability to do some things more efficiently than humans, humans are still much wiser when it comes to real-time decision-making capability. One such application that comes to light is driving and navigation. For example, decisions, such as stopping the vehicle at the right place, watching for a traffic signal at the intersection, or avoiding a split at the last minute, which humans take for granted, are still much harder for robots to make.

In the near future, when cars start driving themselves, they will have to ‘see' what is around them to maneuver leaving no room for errors. To achieve this, vehicles will not only rely on sensors but will also require machine-readable maps of the world, containing accurate and precise road information. Autonomous vehicles will use sensors to make driving decisions on the fly, but vehicle sensors cannot observe everything all the time. Vehicle sensors can be blinded by corners, other vehicles, or bad weather conditions. Even though the sensors may notice an obstacle, they may not do so early enough to make decisions. In addition, lanes and signs may be missing on the road or knocked over or hidden by bushes, and therefore, can go undetected by sensors. Such accidents will be averted when sensor data will be combined with map data.

Research Highlights:

This research service provides an overview of the mapping market along with the differentiation between the types of maps and levels of autonomy that they will support. In addition to the overview, the study covers the components and attributes of ADAS and HD maps, which will help an autonomous vehicle to operate safely.

In conjunction with different processes of mapping, major HD map developers have been segmented on the basis of the mapping process they follow and compared on the basis of various assessment criteria, such as localization accuracy, the technology used for developing HD maps and needed by customers, current partnerships, and cost of acquiring the solution for a customer.

Key Issues Addressed:

  • How will ADAS and HD maps enable safe operation of an autonomous vehicle?
  • How are ADAS maps different than HD maps, and why will HD maps replace ADAS maps for L4 and L5 autonomy?
  • What are the different processes that traditional map makers and start-ups follow to build HD maps?
  • Which are the different solutions offered by map-making companies, and how do they fare against each other?
  • Which are the OEMs and other customers that these HD map developers have partnered with, for development and testing?

Table of Contents

1. EXECUTIVE SUMMARY

  • Levels of Autonomy and Maps
  • HD Mapping Segments
  • Comparative Analysis-End-to-end Base Maps and Updates
  • Comparative Analysis-Crowdsourced Data Collection for Updates
  • Comparative Analysis-In-house Maps With Full Stack AV Software
  • Key Conclusions

2. RESEARCH SCOPE, OBJECTIVES, AND METHODOLOGY

  • Research Scope
  • Research Aims and Objectives
  • Key Questions this Study will Answer
  • Research Methodology

3. DEFINITIONS

  • SAE Definitions
  • Parameters to Compare Profiles

4. INTRODUCTION TO ADAS AND HD MAPS

  • SD, ADAS, and HD Maps
  • Autonomous Vehicles and ADAS and HD Maps
  • Elements of HD Maps

5. MAP BUILDING

  • HD Mapping Process
  • HD Mapping Tools
  • Importance of an HD Base Map

6. SEGMENTATION OF MAPPING PARTICIPANTS

  • Segmentation of Mapping Companies
  • End-to-end Mapping Companies
  • Crowdsourced Mapping Companies
  • In-house Mapping Companies

7. PROFILES-END-TO-END MAPPING

  • HERE Overview
  • HERE Overview (continued)
  • TomTom Overview
  • TomTom Overview (continued)
  • Civil Maps Overview
  • Civil Maps Overview (continued)
  • CARMERA Overview
  • CARMERA Overview (continued)
  • Sanborn Map Company Overview
  • Sanborn Map Company Overview (continued)
  • Voxelmaps Overview
  • Voxelmaps Overview (continued)

8. PROFILES-CROWDSOURCED MAPPING

  • Mobileye Overview
  • Mobileye Overview (continued)
  • DeepMap Overview
  • DeepMap Overview (continued)
  • Mapper.ai Overview
  • Mapper.ai Overview (continued)
  • Mapbox Overview
  • Mapbox Overview (continued)

9. PROFILES-IN-HOUSE MAPPING

  • Waymo Overview
  • Waymo Overview (continued)
  • Oxbotica Overview
  • Oxbotica Overview (continued)
  • Drive.ai Overview
  • Drive.ai Overview (continued)

10. GROWTH OPPORTUNITIES AND COMPANIES TO ACTION

  • Growth Opportunity-Investments and Partnerships from OEMs/TSPs
  • Strategic Imperatives for Success and Growth

11. CONCLUSIONS AND FUTURE OUTLOOK

  • Key Conclusions
  • The Last Word-3 Big Predictions
  • Legal Disclaimer

12. APPENDIX

  • Market Engineering Methodology
  • Abbreviations and Acronyms Used
  • List of Exhibits
  • List of Exhibits (continued)
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