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2018-2019 ADAS自动驾驶产业链报告 激光雷达篇
字数:0.0万 页数:220 图表数:0
中文电子版:12000元 中文纸版:9600元 中文(电子+纸)版:12500元
英文电子版:2600美元 英文纸版:2800美元 英文(电子+纸)版:2900美元
编号:YS021 发布日期:2019-03 附件:下载

        凡是中国企业掌握核心技术的市场,产品价格一定会暴跌。2010年IPG一台20瓦光纤激光器可以卖到15万以上,现在深圳锐科同类产品的报价是8800。参与光纤激光器降本大战的,还有深圳的创鑫、杰普特。

        激光雷达市场,正在重复同样的故事。深圳创鑫的创始人之一胡小波,二次创业进入激光雷达市场,2019年开启激光雷达的价格战。

激光雷达篇.png

        不过,车用激光雷达的主动权仍然掌握在行业领先者手中。Velodyne自开始生产以来,已经发运了30000个Lidar,累计销售额达5亿美元。Velodyne 将继续扩大自动驾驶LIDAR 的生产,也会生产用于ADAS的短程LIDAR,来监控道路状况,盲区和障碍物。

        Velodyne圣何塞的新工厂目前已经投入使用,最高产能可以达到每年100万个。如果能接到10万台的订单,其VLS 128线产品价格能够做到1000美金以内,VLS 32线产品能到650美金左右。而32线的Velarry固态激光雷达在量产时则能做到500美金,8线产品则能做到150美金。

        可见,激光雷达还有10倍以上的降价空间,降价幅度取决于需求量。

        不仅初创公司纷纷布局车用激光雷达,博世、大陆、安波福、法雷奥、Veoneer等领先Tier1也纷纷投入LIDAR研发,将在近两年投放市场。

        以法雷奥(VALEO)为例,作为最早前装量产多线LIDAR的供应商,其一代二代三代产品路线,代表了激光雷达的发展趋势。

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        法雷奥计划2019年推出第二代激光雷达,垂直视角上扩大三倍。法雷奥将推出的SCALA Cocoon系统,将5个SCALA Lidar组合在一起,实现汽车周围360°环境探测。正在研发的第三代 SCALA 将是固态激光雷达,且采用 MEMS方案。

        对比过去一年年,国内激光雷达企业在建厂、量产、出货、融资等方面都取得了巨大的进展。

        2018年,禾赛宣布完成2.5亿元B轮融资,车载LIDAR实现销售额仅次于Velodyne。

        速腾聚创则完成来自菜鸟、上汽、北汽等企业的3亿元融资,其16线/32线机械式激光雷达出货量在2018年迎来了爆发,同时收购了一家MEMS微镜企业。

激光雷达篇3.png

        虽然汽车行业已经入冬,但是激光雷达行业的融资故事仍在继续。

        2018年10月,Innovusion 宣布已获得由蔚来资本、斯道资本和F-Prime Capital领投约 3000 万美元的A 轮融资。

        2018年10月,Aeva宣布完成了一笔4500万美元的A轮融资。

        2018年10月29日, Quanergy宣布完成数千万美元C轮融资。

        2018年11月,AEye宣布完成由Taiwania Capital领投,Intel Capital等参投的4000万美元B轮融资。

        2019年初,北醒完成B2轮融资,达泰资本、凯思博投资、凯辉汽车基金合投。北醒称已经交付了数十万台固态激光雷达产品。

        2019年1月, 光谱扫描激光雷达公司Baraja宣布完成3200万美元的A轮融资,投资方包括红杉中国、Blackbird Ventures等。

        2019年3月,Innoviz 融资超过1亿美元。


LiDAR Industry Report 2018-2019: Price Slump Conduces to Massive Shipment of LiDAR

In the markets where Chinese companies master core technologies, price of products is bound to plummet. Take IPG for example, its 20W fiber lasers were priced at over RMB150,000 per unit in 2010, compared with current quote at RMB8,800 from the peer -- Shenzhen REEKO Information Technology Co., Ltd.. Maxphotonics Co., Ltd. and Shenzhen JPT Opto-electronics Co., Ltd. are another two rivals in the fiber laser price war.

The similar stories echo in the LiDAR market where price competition pricks up in 2019 as Hu Xiaobo, a founder of Maxphotonics Co., Ltd., ventures into the LiDAR field for a new undertaking.

Lidar 1_副本.png

Yet, front runners still have a big say in the automotive LiDAR market. Velodyne has shipped 30,000 LiDARs worth a whopping $500 million since production. The giant will continue to produce more LiDARs for autonomous driving and short-range ones used in ADAS for detecting road conditions, blind spots and obstacles.

Velodyne’s new factory in San Jose which already becomes operational, can produce as many as 1 million units a year. If acquiring orders for 100,000 units, Velodyne will cut down the price of its VLS 128-channel products to less than $1,000, and that of VLS 32 to roughly $650, let alone $500 for mass-produced 32-channel Velarry solid-state LiDAR and $150 for 8-channel ones.

It is clear that LiDAR price may be 10 times lower than what it is now, and the reduction hinges on how many are demanded.

Start-ups are rushing to deploy automotive LiDAR. Also, leading Tier-1 suppliers like Bosch, Continental, Aptiv, Valeo and Veoneer, are vying with each other in LiDAR research and development, and prepare to launch products in the next two years.

In Valeo’s case, as an early multi-channel LiDAR bulk supplier of OEMs, its product lines from the first generation to the second to the third, reflect the development trend of LiDAR.

 Lidar 2_副本.png
lidar 3_副本.png 

Valeo plans to roll out its second-generation LiDAR in 2019, a product offering three times wider vertical field of view. Valeo’s upcoming SCALA Cocoon system combining five SCALA LiDARs, provides a 360-degree view of the vehicle’s surroundings. Its third-generation SCALA being developed is a MEMS-based solid-state LiDAR.

Comparing with the previous year, Chinese LiDAR vendors have come a long way in factory construction, mass production, shipment, financing and other aspects.

In 2018, Hesai Tech announced to close Series B funding rounds of RMB250 million, with its automotive LiDAR sales only second to Velodyne’s.

RoboSense raised RMB300 million from investors like Cainiao, SAIC and BAIC. Its shipments of 16/32-channel mechanical LiDARs boomed in 2018. The vendor also acquired a MEMS micromirror firm in the year.

Lidar 4_副本.png


Although the automotive market is “wintering”, the financing story in LiDAR industry still goes on.

In October 2018, Innovusion announced it raised about $30 million in Series A funding, led by NIO Capital and Eight Roads Ventures in China, and F-Prime Capital in the US.

In October 2018, Aeva announced a $45 million Series A funding round.

On October 29, 2018, Quanergy announced to close its Series C funding rounds of tens of millions of dollars.

In November 2018, AEye announced $40 million in Series B funding, led by Taiwania Capital with participation of Intel Capital, etc.

In early 2019, Benewake closed the Series B2 funding round, co-invested by Delta Capital, Keywise Capital and Cathay Capital. The firm also claimed shipments of hundreds of thousands of solid-state LiDARs.

In January 2019, Baraja announced to raise $32 million in a series A round of funding led by Sequoia China and Main Sequence Ventures’ CSIRO Innovation Fund, with participation of Blackbird Ventures.

In March 2019, Innoviz raised over $100 million.


第一章 汽车激光雷达综述

1.1 激光雷达简介和分类
1.1.1 激光雷达介绍和工作原理
1.1.2 激光雷达的分类
1.2 激光雷达在自动驾驶中的作用
1.2.1 激光雷达是实现自动驾驶的重要传感器
1.2.2 不同自动驾驶级别对LiDAR的需求
1.2.3 LiDAR可用于不同的距离和场景
1.3 LiDAR组件和系统制造商
1.4 LiDAR典型产品
........................................................

第二章 激光雷达分类和总体趋势

2.1 激光雷达分类
2.2 机械式激光雷达代表厂商
2.2.1 机械式激光雷达产品分解
2.2.2 机械式激光雷达大量应用于无人驾驶原型车
2.2.3 机械式激光雷达已在量产车上使用
2.2.4 机械LiDAR供应商及产品
2.3 固态激光雷达
2.3.1 固态激光雷达(1)-MEMS微振镜技术
2.3.2 固态激光雷达(2)-3D FLASH
2.3.3 固态激光雷达(3)-相控阵
2.3.4 MEMS和OPA LIDAR主要企业
2.3.5 3D FLASH 主要企业
2.3.6  MEMS有望率先应用
2.3.7 国内外主要激光雷达厂商产品规划
2.3.8 激光雷达技术整体发展趋势
2.4 激光雷达发展趋势
2.4.1 多Lidar耦合
2.4.2 VCSEL
2.4.3 单光子加VCSEL激光雷达
2.4.4 激光雷达小型化发展趋势
2.4.5 车规适应
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第三章 全球激光雷达生产商研究

3.1 Velodyne
3.1.1 Velodyne简介
3.1.2 Velodyne产品发展路线图
3.1.3 Velodyne车用激光雷达产品矩阵
3.1.4 Velodyne机械式激光雷达产品线
3.1.5 VLP-32C
3.1.6 VLS-128
3.1.7 Velarray
3.1.8 Velodyne 激光雷达芯片化
3.1.9 Velodyne产品产能和价格趋势
3.2 大陆
3.2.1 大陆汽车介绍
3.2.2 大陆激光雷达产品线
3.2.3 大陆3D Flash LiDAR
3.2.6 大陆SRL1
3.2.7 大陆Radar和Lidar产品客户分布
3.3 博世
3.3.1 博世简介
3.3.2 博世在激光雷达领域的投资布局
3.4 安波福
3.4.1 安波福简介
3.4.2 安波福RoboTaxi传感器配置
3.4.3 激光雷达领域投资情况
3.5 Veoneer
3.5.1 Veoneer简介
3.5.2 Veoneer提供两种激光雷达
3.5.3 Veoneer与Velodyne合作开发激光雷达
3.5.4 Veoneer激光雷达等项目的SOP情况
3.6 法雷奥
3.6.1 法雷奥简介
3.6.2 L3级Park4U的激光雷达
3.6.3 法雷奥SCALA
3.6.4 SCALA gen1-gen3 激光雷达技术路线图
3.6.5 SCALA1和SCALA2激光雷达性能对比
3.7 Quanergy
3.8.1 Quanergy简介
3.8.2 Quanergy综合解决方案
3.8.3 Quanergy激光雷达应用领域
3.8.4 Quanergy 激光雷达产品路线
3.8.5 Quanergy M8
3.8.6 Quanergy S3
3.8.7 Quanergy S3-Qi
3.8.8 内置激光雷达的汽车前照灯
3.8.9 Quanergy激光雷达制造
3.8.10 Quanergy激光雷达成像
3.8.11 Quanergy全球化布局
3.9 LeddarTech
3.9.1 LeddarTech
3.9.2 Vu8固态激光雷达模块
3.9.3 M16固态激光雷达模块
3.9.4 开发固态激光雷达芯片
3.10 IBEO
3.10.1 IBEO简介
3.10.2 Ibeo已量产激光雷达产品
3.10.3 研发新款固态激光雷达
3.11 Innoviz
3.11.1 Innoviz简介
3.11.2 InnovizPro
3.11.3 InnovizOne
3.11.4 Innoviz技术路线
3.12 Luminar
3.12.1 Luminar简介
3.12.2 推出廉价版激光雷达
3.13 Waymo
3.13.1 Waymo LiDAR简介
3.13.2 Waymo LiDAR规格参数
3.13.3 Waymo LiDAR 镜头
3.13.4 Waymo 将公开出售其激光雷达
3.14 Baraja
3.14.1 Baraja公司简介
3.14.2 获3200万美元A轮融资
3.15 Ouster
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第四章 中国激光雷达生产商研究

4.1 禾赛科技
4.1.1 禾赛科技简介
4.1.2 禾赛科技主要产品
4.1.3 Pandar 40
4.1.4 Pandar 40/客户应用
4.1.5 Pandar GT
4.1.6 禾赛Pandora
4.1.7 自研微振镜和光纤激光器
4.2 北科天绘
4.2.1 北科天绘简介
4.2.2 R-Fans-16
4.2.3 R-Fans-32
4.2.4 C-Fans 128线激光雷达
4.2.5 发展规划和SOP时间表
4.3 北醒光子
4.3.1 北醒光子简介
4.3.2 发展历程/市场覆盖
4.3.3 融资情况和规划
4.3.4 发展路径
4.3.5 主要产品
4.4 速腾聚创
4.4.1 速腾聚创简介
4.4.2 发展历程
4.4.3 主要产品和生产
4.4.4 RS-LiDAR-16
4.4.5 RS-LiDAR-32
4.4.6 RS-LiDAR-M1Pre
4.4.7 P3激光雷达感知方案
4.4.8 联手阿里推出无人物流车
4.4.9 MEMS固态激光雷达
4.5 镭神智能
4.5.1 公司简介
4.5.2 发展历程
4.5.3 核心团队
4.5.4 TOF系列
4.5.5 三角法激光雷达
4.5.6 基于激光雷达的自动驾驶解决方案
4.5.7 基于激光雷达的智慧交通解决方案
4.5.8 基于激光雷达的三维测绘&电力巡线等解决方案
4.5.9 基于激光雷达的防撞预警解决方案
4.5.10 安防解决方案
4.5.11 市场拓展
4.6 Livox
4.6.1 Livox激光雷达
4.7 力策科技
4.7.1 对激光雷达技术路线的分析
4.7.2 力策科技选择OPA路线
4.8 洛伦兹
4.8.1 洛伦兹对激光雷达的分类
4.8.2 洛伦兹发展展望
4.8.3 洛伦兹主要产品
4.8.4 洛伦兹I系列
4.8.5 洛伦兹D系列产品
4.8.6 洛伦兹激光雷达发展战略
4.9 流深光电
4.9.1 流深光电简介
4.9.2 流深光电激光雷达产品规划
4.9.3 流深光电Argus
4.9.4 Argus环境适应性和量产规划
4.9.5 流深光电Omini
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第五章 相关技术企业及技术趋势

5.1 TOF与CSEM
5.1.1 对自动驾驶汽车LiDAR的要求
5.1.2 CSEM简介
5.1.3 CSEM技术平台
5.1.4 LiDAR发展领域
5.1.5 CSEM运用的TOF原理
5.1.6 混合Flash成像LiDAR
5.1.7 LiDAR价值链
5.1.8 TRL4
5.1.9 TRL8
5.2 下一代激光雷达技术SiPM和SPAD阵列
5.2.1 SensL公司概览
5.2.2 SensL LiDAR产品和样品路线图
5.2.3 SensL LiDAR系统解析
5.2.4 直接ToF LiDAR测量技术
5.2.5 远距离LiDAR系统挑战
5.2.6 激光人眼安全和LiDAR系统
5.2.7 激光人眼安全
5.2.8 LiDAR系统之SiPM/SPAD
5.2.9 SiPM和SPAD原理图
5.2.10 LiDAR传感器技术演进
5.2.11 远距离LiDAR系统演变
5.2.12 借助SiPM进行LiDAR设计
5.2.13 借助SiPM技术如何实现大于200m的探测
5.2.14 当前LiDAR系统挑战
5.2.15 借助SPAD或SiPM 阵列实现未来LiDAR设计
5.2.16 SensL SPAD阵列产品Pandion
5.2.17 第三代成像LiDAR系统解析
5.2.18 基于SiPM的3D ToF成像LiDAR
5.3 OSRAM
5.3.1 OSRAM的自动驾驶技术经验
5.3.2 长期为汽车行业提供激光器技术
5.3.3 所有的ADAS传感器都有其优势和劣势
5.3.4 摄像头、雷达和LiDAR组合可提供自动驾驶能力
5.3.5 L4/L5需要多少LiDAR模块
5.3.6 MaaS供应商希望早日引入L5
5.3.7 LiDAR市场将迎来两波增长
5.3.8 LiDAR借助反射光测量物体距离
5.3.9 多模块系统
5.3.10 LiDAR系统包含多个不同的构建模块
5.3.11 flash LiDAR和扫描LiDAR
5.3.12 905nm发射激光器
5.3.13 OSRAM提供基于905nm激光器的各种LiDAR解决方案
5.3.14 OSRAM在LiDAR市场的布局
5.4 希景科技
5.5 亮道智能
5.5.1 亮道智能公司简介
5.5.2 亮道智能发展历程
5.5.4 评测服务
5.5.5 数据采集平台搭建
5.5.6 真实传感器路测数据采集
5.5.8 自动化测试验证工具链
5.5.10 亮道智能主要客户及案例
5.5.11 亮道智能发展战略和规划
5.6 TriLumina
5.6.1 TriLumina简介及商业模式
5.6.2 TriLumina VCSEL照明模组
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1 Automotive LiDAR
1.1 Introduction and Classification
1.1.1 Briefing and Operating Principles
1.1.2 Classification
1.2 Role of LiDAR in Autonomous Driving
1.2.1 LiDAR as a Crucial Sensor to Autonomous Driving
1.2.2 Demand for LiDAR from Different Levels of Autonomous Driving
1.2.3 Availability of LiDAR for Different Distances and Scenarios
1.3 LiDAR Components and System Vendors
1.4 Typical LiDAR

2 LiDAR Classification and General Trends
2.1 Classification of LiDAR
2.2 Representative Makers of Mechanical LiDAR
2.2.1 Decomposition of Mechanical LiDAR
2.2.2 Massive Use of Mechanical LiDAR in Autonomous Vehicle Prototypes
2.2.3 Mechanical LiDAR Already Applied to the Mass-produced Vehicle
2.2.4 Mechanical LiDAR Suppliers and Products
2.3 Solid-state LiDAR
2.3.1 Solid-state LiDAR (1) – MEMS Scanning Mirror Technology
2.3.2 Solid-state LiDAR (2) - 3D FLASH
2.3.3 Solid-state LiDAR (3) – Phased Array
2.3.4 MEMS and OPA LiDAR Companies
2.3.5 3D FLASH Companies
2.3.6 MEMS Expectedly Gets First Applied
2.3.7 Product Planning of Leading LiDAR Vendors at Home and Abroad
2.3.8 Overall Tendency of LiDAR Technology
2.4 Development Trend of LiDAR
2.4.1 Multi-LiDAR Coupling
2.4.2 VCSEL
2.4.3 Single Photon + VCSEL LiDAR
2.4.4 LiDAR towards Miniaturization
2.4.5 Adaptation to Vehicle

3 Global LiDAR Companies
3.1 Velodyne
3.1.1 Profile
3.1.2 Product Roadmap
3.1.3 Automotive LiDAR Portfolios
3.1.4 Mechanical LiDAR Product Line
3.1.5 VLP-32C
3.1.6 VLS-128
3.1.7 Velarray
3.1.8 LiDAR Grows As a Chip
3.1.9 Production Capacity and Price Trend
3.2 Continental
3.2.1 Profile
3.2.2 LiDAR Product Line
3.2.3 3D Flash LiDAR
3.2.4 SRL1
3.2.5 Presence of Clients for Continental’s Radar and LiDAR Products
3.3 Bosch
3.3.1 Profile
3.3.2 Investments in LiDAR Field
3.4 Aptiv
3.4.1 Profile
3.4.2 Sensor Configuration of RoboTaxi
3.4.3 Investments in LiDAR Field
3.5 Veoneer
3.5.1 Profile
3.5.2 Veoneer Provides Two Kinds of LiDAR
3.5.3 Collaboration between Veoneer and Velodyne in LiDAR Development
3.5.4 SOP of LiDAR Project, etc.
3.6 Valeo
3.6.1 Profile
3.6.2 L3 Park4U LiDAR
3.6.3 SCALA
3.6.4 SCALA gen1-gen3 LiDAR Technology Roadmap
3.6.5 Performance Comparison between SCALA1 and SCALA2 LiDAR
3.7 Quanergy
3.8.1 Profile
3.8.2 Total Solutions
3.8.3 Application of Its LiDAR
3.8.4 LiDAR Product Route
3.8.5 Quanergy M8
3.8.6 Quanergy S3
3.8.7 Quanergy S3-Qi
3.8.8 Automobile Headlamp Embedded with LiDAR
3.8.9 LiDAR Fabrication
3.8.10 LiDAR Imaging
3.8.11 Global Footprints
3.9 LeddarTech
3.9.1 LeddarTech
3.9.2 Vu8 Solid-state LiDAR Module
3.9.3 M16 Solid-state LiDAR Module
3.9.4 Development of Solid-state LiDAR Chip
3.10 IBEO
3.10.1 Profile
3.10.2 Mass-produced LiDAR Products
3.10.3 R&D of New Solid-state LiDAR
3.11 Innoviz
3.11.1 Profile
3.11.2 InnovizPro
3.11.3 InnovizOne
3.11.4 Technology Roadmap
3.12 Luminar
3.12.1 Profile
3.12.2 Launch of Affordable LiDAR
3.13 Waymo
3.13.1 Introduction to Waymo LiDAR
3.13.2 Specifications of Waymo LiDAR
3.13.3 Waymo LiDAR Lens
3.13.4 Waymo Will Put Its LiDAR for Sale
3.14 Baraja
3.14.1 Profile
3.14.2 Obtained the Series A-Round Funding of $32 Million
3.15 Ouster

4 Chinese LiDAR Companies
4.1 Hesai Tech
4.1.1 Profile
4.1.2 Major Products
4.1.3 Pandar 40
4.1.4 Pandar 40/Client Application
4.1.5 Pandar GT
4.1.6 Pandora
4.1.7 Independent Research of Scanning Mirror and Optical Fiber Laser
4.2 SureStar Technology
4.2.1 Profile
4.2.2 R-Fans-16
4.2.3 R-Fans-32
4.2.4 C-Fans 128-channel LiDAR
4.2.5 Development Planning and SOP Timeline
4.3 Benewake
4.3.1 Profile
4.3.2 Development Course/Market Coverage
4.3.3 Financing and Planning
4.3.4 Development Path
4.3.5 Major Products
4.4 RoboSense
4.4.1 Profile
4.4.2 Development Course
4.4.3 Major Products and Manufacturing
4.4.4 RS-LiDAR-16
4.4.5 RS-LiDAR-32
4.4.6 RS-LiDAR-M1Pre
4.4.7 P3 LiDAR Perception Solution
4.4.8 Collaboration with Alibaba to Launch Self-piloting Logistics Vehicle
4.4.9 MEMS Solid-state LiDAR
4.5 LeiShen Intelligent System
4.5.1 Profile
4.5.2 Development Course
4.5.3 Core Team
4.5.4 TOF Series
4.5.5 LiDAR with Triangle Measuring Method
4.5.6 Autonomous Driving Solution Based on LiDAR
4.5.7 Intelligent Transportation Solution Based on LiDAR
4.5.8 Three-dimensional Mapping and Power Line Patrol Solutions Based on LiDAR
4.5.9 Collision Warning Solution Based on LiDAR
4.5.10 Security Solutions
4.5.11 Market Expansion
4.6 Livox
4.6.1 Livox LiDAR
4.7 Litra Technology
4.7.1 LiDAR Technology Roadmap
4.7.2 Selection of OPA Route
4.8 LorenTech
4.8.1 Its Classification of LiDAR
4.8.2 Development Outlook
4.8.3 Major Products
4.8.4 LorenTech I Series
4.8.5 LorenTech D Series Products
4.8.6 LiDAR Development Strategy
4.9 Wuxi Liushen Optoelectronic Technology
4.9.1 Profile
4.9.2 LiDAR Product Planning
4.9.3 Argus
4.9.4 Environmental Adaptation and Mass-production Plan of Argus
4.9.5 Omini

5 Tech Firms Concerned and Technology Trends
5.1 TOF and CSEM
5.1.1 Requirements on Autonomous Vehicle LiDAR
5.1.2 Introduction to CSEM
5.1.3 CSEM Technology Platform
5.1.4 LiDAR Development Fields
5.1.5 TOF Principle Rendered by CSEM
5.1.6 Mixed Flash Imaging LiDAR
5.1.7 LiDAR Value Chain
5.1.8 TRL4
5.1.9 TRL8
5.2 The Next-Generation LiDAR Technologies SiPM and SPAD Array
5.2.1 SensL Company Profile
5.2.2 SensL LiDAR Product and Sample Roadmap
5.2.3 Interpretation of SensL LiDAR System
5.2.4 Direct ToF LiDAR Measurement Technology
5.2.5 Challenges to Long-range LiDAR System
5.2.6 Laser Safety to Eyes and LiDAR System
5.2.7 Laser Safety to Eyes
5.2.8 SiPM/SPAD of LiDAR System
5.2.9 Schematic Diagram of SiPM and SPAD
5.2.10 Evolution of LiDAR Sensor Technology
5.2.11 Evolution of Long-range LiDAR System
5.2.12 LiDAR Design with SiPM
5.2.13 How to Realize 200-meter-above Detection with SiPM Technology
5.2.14 Challenges to the Existing LiDAR System
5.2.15 Future LiDAR Design is Achieved with Either SPAD or SiPM Array
5.2.16 SensL SPAD Array Product Pandion
5.2.17 Interpretation of the 3rd-Gen Imaging LiDAR System
5.2.18 3D ToF Imaging LiDAR Based on SiPM
5.3 OSRAM
5.3.1 Experience in Autonomous Driving Technology
5.3.2 A Time-honored Provider of Laser Technologies for Automotive Sector
5.3.3 All ADAS Sensors Have Merits and Demerits
5.3.4 The Combination of Camera, Radar and LiDar Provides Self-driving Capability
5.3.5 How Many LiDAR Modules Will L4/L5 Need?
5.3.6 MaaS Providers Wish to Introduce L5 as Soon as Possible
5.3.7 LiDAR Will Usher in Two Periods of Growth Spurt
5.3.8 LiDAR Measures the Distance from Objects with the Help of the Reflected Light
5.3.9 Multi-Module System
5.3.10 LiDAR System Is Comprised of Different Building Modules
5.3.11 Flash LiDAR and Scanning LiDAR
5.3.12 905nm Emitting Laser
5.3.13 OSRAM Provides a Variety of LiDAR Solutions Based on 905nm Laser
5.3.14 OSRAM’s Presence in LiDAR Market
5.4 Silicon Vision Microsystem
5.5 LiangDao Intelligence
5.5.1 Profile
5.5.2 Development Course
5.5.3 Evaluation & Test Services
5.5.4 Construction of Data Acquisition Platform
5.5.5 Road Test Data Collection of Real Sensors
5.5.6 Automatic Test Verification Tool Chain
5.5.7 Key Clients and Cases
5.5.8 Development Strategy and Planning
5.6 TriLumina
5.6.1 Profile and Business Model
5.6.2 TriLumina VCSEL Lighting Module

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