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市場調查報告書

下一代汽車傳感器

Next Generation Automotive Sensors

出版商 ABI Research 商品編碼 985168
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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下一代汽車傳感器 Next Generation Automotive Sensors
出版日期: 2021年01月27日內容資訊: 英文
簡介

本報告分析了全球各種汽車雷達的最新技術和市場趨勢,當前的技術水平和未來發展的可能性,最新雷達技術的主要要求和需求驅動因素,我們將為您提供信息,例如由於引入技術和未來市場規模趨勢而導致的市場結構變化。

文字中提到的公司

  • Arbe
  • Aurora
  • Continental
  • FLIR
  • Innoviz
  • Intel
  • Luminar
  • Mobileye
  • Nissan
  • NVIDIA
  • NXP
  • SAE
  • Tesla
  • Trieye
  • Uber
  • Xilinx

目錄

第1章執行摘要

  • 由於冗餘要求,促進了對新傳感器的需求
  • 傳統傳感器的演變
  • 相機傳感器的優勢
  • 激光雷達市場動盪
  • L2 +現象:將汽車傳感器市場分為兩部分
  • 每種傳感器模式的SWOT分析

第2章簡介

  • 相機傳感器的優勢
  • 需要其他傳感器
  • 二級和三級傳感器的主要特徵

第3章雷達

  • 汽車雷達技術的現狀
  • 雷達強度
  • 雷達無力
  • 結論

第4章HD(高清)雷達

  • Continental ARS540
  • Arbe HD Radar
  • NXP
  • Intel Mobileye
  • 結論

第5章LiDAR

  • 脈衝ToF(飛行時間)LiDAR
  • FMCW(調頻連續波)LiDAR
  • NIR/SWIR(近紅外/短波紅外)LiDAR
  • 結論

第6章短波紅外(SWIR)攝像機

  • SWIR攝像機的優勢
  • 傳播障礙
  • 結論

第7章FIR(遠紅外)傳感器

  • 耐環境光
  • 結論

第8章感知系統的演化:全局

  • 主動安全性和ADAS
  • 自動駕駛
  • 機器人出租車(無人出租車)
  • 乘用車自動化

第9章市場預測

  • 高清雷達/圖像雷達/4D雷達預測
  • 雷射光雷達
目錄
Product Code: AN-5330

Actionable Benefits:

  • Identify when new sensor technologies will gain traction and their growth potential.
  • Understand customer decision criteria when choosing new sensor technologies.
  • Develop sensor technologies to fulfil customer requirement, stretching from basic ADAS to fully autonomous driving.

Critical Questions Answered:

  • Which autonomous functions can cameras enable, and what support is needed from secondary and tertiary sensors?
  • What role will radar play in the sensor suites of highly autonomous vehicles?
  • How will the introduction of SWIR and FMCW approaches disrupt the automotive LiDAR market?
  • What effect will the transfer from SAE Level 3 to SAE Level2+ have on the market for secondary and tertiary automotive sensors?

Research Highlights:

  • Snapshot SWOT analysis of camera, radar, HD radar, NIR LiDAR, SWIR LiDAR, FMCW LiDAR, SWIR camera and FIR camera.
  • Shipment and revenue forecast for HD radar, ToF NIR LiDAR, ToF SWIR LiDAR, FMCW SWIR LiDAR.
  • Analysis of the characteristics of secondary and tertiary sensors, including orthogonality to camera test.

Who Should Read This?

  • OEM and Tier 1 CTO and CRO.
  • ADAS product owners at OEMs, Tier 1 suppliers and automotive semiconductor.
  • Strategic decision makers within autonomous function deployers.
  • Innovation leaders within automotive sensor startups.

Companies Mentioned:

  • Arbe
  • Aurora
  • Continental
  • FLIR
  • Innoviz
  • Intel
  • Luminar
  • Mobileye
  • Nissan
  • NVIDIA
  • NXP
  • SAE
  • Tesla
  • Trieye
  • Uber
  • Xilinx

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

  • 1.1. Redundancy Requirements Drive Demand for New Sensors
  • 1.2. Evolution of Legacy Sensors
  • 1.3. Dominance of Camera Sensors
  • 1.4. LiDAR Market Disruption
  • 1.5. The L2+ Phenomenon will Bifurcate the Automotive Sensor Market
  • 1.6. SWOT Analyses of Each Sensor Mode

2. INTRODUCTION

  • 2.1. The Dominance of Camera Sensors
  • 2.2. The Need for Additional Sensors
  • 2.3. Key Characteristics of Secondary and Tertiary Sensors

3. RADAR

  • 3.1. The Current State of Radar Technology in Automotive
  • 3.2. Strenghts of Radar
  • 3.3. Weaknesses of Radar
  • 3.4. Conclusions

4. HD RADAR

  • 4.1. Continental ARS540
  • 4.2. Arbe HD Radar
  • 4.3. NXP
  • 4.4. Intel Mobileye
  • 4.5. Conclusions

5. LIDAR

  • 5.1. Pulsed/ToF LiDAR
  • 5.2. FMCW LiDAR
  • 5.3. NIR and SWIR LiDAR
  • 5.4. Conclusions

6. SWIR CAMERAS

  • 6.1. Strenghts of SWIR CAMERAS
  • 6.2. Barriers to Adoption
  • 6.3. Conclusions

7. FIR SENSORS

  • 7.1. Robustness to Ambient Lighting
  • 7.2. Conclusions

8. PERCEPTION SYSTEM EVOLUTION: A HOLISTIC VIEW

  • 8.1. Active Safety and ADAS
  • 8.2. Autonomous Driving
  • 8.3. Robotaxis
  • 8.4. Passenger Vehicle Automation

9. MARKET FORECASTS

  • 9.1. HD Radar/Imaging Radar/4D Radar Forecasts
  • 9.2. LiDAR