北美和歐洲自動駕駛的下一代傳感器市場：到2030年的預測

Next-generation Perception Sensors for Autonomous Driving in North America and Europe, Forecast to 2030

出版日期: 2020年06月15日 | 出版商:

Frost & Sullivan | 英文 81 Pages | 商品交期: 最快1-2個工作天內

價格

全貌
簡介
目錄

簡介

隨著配備駕駛員迴路功能的4輪車輛的問世和引入下一代檢測傳感器的出現，用於自動駕駛的下一代檢測傳感器的市場有望擴大和擴展。隨著ADAS（高級駕駛員輔助系統）的採用和自動駕駛技術的發展，完全準確地檢測和識別車輛周圍環境的需求正在增加。

該報告調查了北美和歐洲的下一代自動駕駛檢測傳感器市場，並提供了諸如檢測傳感器概述，雷達，攝像機，LiDAR和超聲模塊的市場分析以及銷售預測等信息。

內容

執行摘要

主要亮點
按自治級別：對傳感器功能的要求增加
現有傳感器套件產品：供應商比較
到2030年的銷售預測
主要困惑因素：新一代感測
主要結論

範圍，目的和宗旨

用於ADAS的檢測傳感器

檢測感測器類型
按自治級別：對感測器功能的要求增加
需要發展檢測感測器

雷達模塊

雷達模塊
現有雷達供應商的比較
雷達模塊的技術演進
2030年雷達的銷售預測
性能功能

雷達模塊：主要細目分類

雷達生態系統
雷達模塊
認知飛行員：4D成像雷達
Metaw-wave：SPEKTRA□平台
Arbe-Phoenix：超高分辨率4D成像雷達

相機模塊

可見攝像頭模塊
紅外攝像頭模塊
現有相機供應商的比較
技術演進
2030年相機模塊的銷售預測
性能功能

相機模塊：主要細目分類

相機生態系統
攝像頭模塊
前瞻性：QuadSight技術
展望：3D語義相機
SmartEye：驅動程序監視

LiDAR模塊

LiDAR模塊
供應商比較
LiDAR模塊技術創新
2030年LiDAR的銷售預測
性能功能

LiDAR模塊：主要細目分類

LiDAR模塊生態系統
LiDAR模塊
Quanergy：3D飛行時間LiDAR
RoboSense：LiDAR感知解決方案
XenoLidar：3D LiDAR

超聲波傳感器

超聲波傳感器
超聲波傳感器技術的發展
2030年超聲波傳感器的銷售預測
性能功能

超聲波傳感器：主要細目分類

Toposens：超聲波3D回波位置傳感器

增長機會和建議

增長機會
成功與成長的戰略建議

結論

附錄

Product Code: MF0B-18

Next-generation Perception Sensors will be Introduced with Driver-out-loop Features, and Uptake of These Sensors will Increase with the Launch of Level-4 Vehicles

Increase in adoption of advanced driver assistance systems and evolution in autonomy has intensified the need to sense and perceive vehicle surroundings entirely and accurately. With the rise in the level of autonomy, the number of perception sensors will increase to provide complete 360o perception of vehicle surroundings and an additional layer of redundancy to the data collected by each sensor.

While existing sensors do the required jobs, each of them have a number of limitations to perform in extreme weather and light conditions. Level 3 and above autonomy require the sensors to detect objects at long range, identify and classify objects, and need high-resolution capabilities to develop high-definition map of the surrounding environment. While most sensor evolutions are trying to address the above-discussed challenges offering high reliability and robustness, it is also critical to address challenges such as packaging the sensor on a vehicle, maintaining the sensor to cope with external conditions, and offering a competitive price.

Traditionally Tier-1 suppliers have been manufacturing sensors for effective functioning of a vehicle. The challenges posed by ADAS and autonomous driving have encouraged multiple hardware and solution developers to develop sensor hardware, AI-based software, and wholesome perception solutions. Some key disruptors in the perception sensor industry offer embedded and hardware-agnostic software platforms to integrate other sensors for sensor fusion and other value-added solutions to enhance the capability of sensors and provide holistic perception solutions.

Key Features:

The objective of this study is to research, analyze, and forecast the market for emerging perception sensing solutions in the global autonomous driving market and also assess future growth and developments in the market. The study encompassed sensors for passenger vehicles, commercial vehicles, pods, and shuttles. The geographical scope is North America (the US and Canada) and Europe (Germany, Italy, France, Spain, Belgium, the Netherlands, Luxembourg, Denmark, Norway, Sweden, Finland, and the UK).