汽车4D雷达产业（2025）

1. 4D成像雷达已从 "选购" 感测器发展成为 "必备" 感测器。

4D雷达除了能够侦测和分析距离、速度、方向和高度外，还能侦测和分析物体的高度资料。由于不受天气和光照条件的影响，它已成为自动驾驶系统不可或缺的感测器。其发展主要受以下因素驱动：

1. 政策。 2025年4月，国家汽车标准化技术委员会（NTCAS）发布了 "轻型车辆自动紧急煞车系统技术要求及试验方法（草案）" ，取代了先前推荐的AEB系统国家标准GB/T 39901-2021。该法规提议逐步将自动紧急煞车（AEB）系统从“可选”过渡到“标配”，并要求自2028年1月1日起，M1/N1类车辆必须标配AEB系统。随着相关AEB法规对车辆煞车前的最高速度提出了更严格的要求，雷达性能标准也变得更加严格。具体而言，前视监控系统需要更远的探测距离、更强的弱目标识别能力和多目标分辨率，以及更精确的障碍物高度测量。

2. 表现的显着提升弥补了感知方面的不足。 4D成像雷达解决了传统雷达无法侦测到的高大障碍物（例如限高桿和道路标誌）和静止物体（例如停在匝道上的违章车辆）的问题。其角分辨率提高到1-2°（相当于8-32通道雷射雷达），点云密度是传统雷达的八倍以上（例如，SINPRO SFR-2K每帧2048个点）。它能清楚地恢復被前方车辆遮挡的物体轮廓（例如前方车辆的煞车区域），从而实现精准监控。同时，它具备全天候抗干扰能力，即使在雨、雪、雾、霾等恶劣环境下也能达到300公尺的侦测距离，显着超越了摄影机和雷射雷达的性能。

3. 成本优势已成为大规模应用的关键驱动因素。随着双级联繫统向四级联繫统和单晶片整合过渡，4D基础成像雷达的单价将从2024年初的500-1000元人民币降至2025年的200-400元人民币，接近传统雷达的价格区间，达到雷射雷达的1/5到1/10(LiDAR的清扫成本与雷达实体相当)。

2.到 2030 年，4D 雷达预计将占超过 50% 的市场。

ResearchInChina 预测，2024 年配备 4D 雷达感测器的车辆数量将达到 273.7 万辆，2025 年将达到 1,106 万辆。到 2030 年，预计总数将超过 5,000 万辆，渗透率将从 2025 年的 26.0% 上升至 54.5%。相应地，前视 4D 雷达和 4D 角视雷达的渗透率预计也将大幅成长，其中 4D 角视雷达预计将呈现最快成长。

在选择产品时，OEM 厂商将 4D 雷达视为一项重要的技术，可与摄影机和光达相辅相成。摄影机提供高分辨率的语义理解和颜色信息，光达提供精确的 3D 几何信息，而 4D 雷达即使在能见度差和复杂的电磁环境下也能提供稳定的距离、速度和高度信息。 OEM厂商会考虑性能与成本以及整合感知等因素。

随着整合感知成为主流，OEM厂商正在积极扩展和升级其感知硬体。 OEM厂商（例如ONVO L60）主要采用 "4D雷达+视觉" 解决方案，高阶机型（例如Maextro S800）则增加了雷射雷达以实现冗余。在演算法层面，BEV+Transformer架构已成为多感测器融合的标准解决方案，透过时间建模提高目标追踪稳定性。

本报告分析了中国汽车4D雷达市场，提供了市场规模和安装量预测、价格范围分析以及国内外公司资讯。

目录

术语

第一章：汽车4D雷达概述

• 概述
• 检测效能
• 4D雷达与4D成像雷达（1）
• 4D雷达与4D成像雷达（2）
• 4D雷达应用场景（1）
• 4D雷达应用场景（2）
• 高解析度雷达与摄影机/雷射雷达的帧率比较
• 4D雷达OEM厂商策略
• 汽车4D成像雷达应用趋势的原因
• 4D成像雷达产业链

第二章：汽车4D雷达市场

• 概述
  • 现状
  • 雷达类型 - 前视雷达 (1)
  • 雷达类型 - 前视雷达 (2)
  • 雷达类型 - 前视雷达 (3)
  • 雷达类型 - 角视雷达 (1)
  • 雷达类型 - 角视雷达 (2)
  • 雷达类型 - 角视雷达 (3)
  • 价格范围 - 概述
  • 价格范围 - 100,000-150,000 元人民币
  • 价格范围 - 150,000-200,000 元人民币
  • 价格范围 - 200,000-250,000 元人民币
  • 价格范围 - 250,000-300,000 元人民币
  • 价格范围 - 300,000-350,000 元人民币
  • 价格区间 - 350,000-400,000 元人民币
  • 价格区间 - 400,000-500,000 元人民币
  • 价格区间 - 超过 50 万元人民币
• 汽车 4D 雷达市场
  • 雷达类型 - 4D 前视雷达的价格分布与竞争格局
  • 雷达类型 - 4D 前视雷达：依品牌划分
  • 雷达类型 - 4D 角视雷达的价格分布与竞争格局
  • 雷达类型 - 4D 角视雷达：依品牌划分
  • 4D 雷达：依价格划分 - 概述
  • 价格区间 - 0-100,000 元人民币 - 4D 雷达解决方案
  • 价格区间 - 100,000-150,000人民币 - 4D雷达解决方案
  • 价格范围 - 150,000-200,000 人民币 - 4D 雷达解决方案
  • 价格范围 - 200,000-250,000 人民币 - 4D 雷达解决方案
  • 价格范围 - 250,000-300,000 人民币 - 4D 雷达解决方案
  • 价格范围 - 300,000-350,000 人民币 - 4D 雷达解决方案
  • 价格范围 - 350,000-400,000 人民币 - 4D 雷达解决方案
  • 价格范围 - 400,000-500,000 人民币 - 4D 雷达解决方案
  • 价格范围 - 超过 50 万人民币 4D 雷达解决方案
• 雷达市场（2025-2030）
  • 3D/4D雷达安装量预测
  • 3D/4D雷达安装量计算
  • 单车雷达安装量预测
  • 4D雷达市场特征：安装量爆炸性成长
  • 4D雷达安装量（2024-2030）
  • 汽车4D雷达占比（2024-2030）
  • 汽车4D雷达市场规模（2024-2030）
  • 汽车4D雷达市场规模估算依据

第三章：中国乘用车4D雷达公司

• 新普罗
• WHST
• 正泰科技
• 华为
• 英达科技
• 牧牛科技
• 行道科技
• 楚航科技
• 明星引领
• 哈斯科
• 平润经纬
• 德赛SV
• 新星
• 宝龙汽车
• 纳雷雷达
• 睿创科技
• 威孚高科
• 华勤科技
• 灵通科技

第四章 国外乘用车4D雷达企业

• 奥莫维奥
• APTIV
• 博世
• 采埃孚
• 移动眼
• 阿尔托斯雷达

第 5 章汽车4D雷达晶片/天线公司

• TI
• 恩智浦
• 英飞凌
• 阿尔贝
• 乌恩德尔
• 加特兰
• 安达
• 贵步微电子
• 森纳德微电子
• Milliverse（Archiwave）
• 负鼠
• SGR半导体
• 南芯半导体科技
• 博讯通讯
• SPEED无线技术
• Waveland 技术
• SMARTCOMTECH
• HUBER+SUHNER

第六章汽车4D雷达总结及趋势

• 4D雷达晶片厂商技术参数及客户对比
• 4D雷达技术参数比较（一）
• 4D雷达对比技术参数 (5)
• 配备 4D 雷达的车款 (1)
• 配备 4D 雷达的车款 (2)
• 配备 4D 雷达的车款 (3)
• 趋势 1
• 趋势 2
• 趋势 3
• 趋势 4
• 趋势 5
• 趋势 6
• 趋势 7
• 趋势 8
• 趋势 9

4D radar research: From "optional" to "essential," 4D radar's share will exceed 50% by 2030.

1. 4D imaging radar has transformed from an "optional" to a "must-have" sensor.

4D radar adds the detection and analysis of object height data, perceiving distance, speed, azimuth, and altitude. It is immune to weather and lighting conditions as an indispensable sensor for autonomous driving systems. Its development is mainly driven by the following factors:

1. Policies. In April 2025, the National Technical Committee of Auto Standardization (NTCAS) of China released the "Technical Requirements and Test Methods for Automatic Emergency Braking Systems of Light-Duty Vehicles (Draft)" to replace the original recommended national standard GB/T39901-2021 for AEB systems. It suggested that AEB systems should gradually move from "optional installation" to "mandatory standard configuration" and required that from January 1, 2028, M1 and N1 vehicles must be equipped with AEB systems as standard. As relevant AEB regulations impose increasingly stringent requirements on the maximum speed of vehicles before braking, radar faces more stringent performance standards: forward-looking perception systems must have longer detection ranges, stronger weak object recognition and multi-object resolution, and more accurate obstacle height measurement.

On September 17, 2025, the Ministry of Industry and Information Technology of China publicly solicited opinions on the mandatory national standard "Safety Requirements for Combined Autonomous Driving Systems of Intelligent Connected Vehicles". This standard strengthens technical supervision in the field of autonomous driving where accidents occur frequently. In its technical draft, it puts forward higher requirements for the perception capabilities of autonomous driving systems in all weather conditions.

With the upgrading of global safety regulations and the increasing penetration rate of L2+/L3 autonomous driving, highway NOA and urban NOA rely on radar, especially 4D imaging radar, to make up for the defects in visual perception and the decline of LiDAR functions (such as in rain, snow, fog, low light, nighttime, severe weather, and obstructions, etc.). For example, when a vehicle is traveling at high speed, the AEB system needs to reliably complete its task. It not only needs to detect large vehicles, but also to recognize smaller, less reflective, or fast-moving objects, such as children crossing the road or motorcycles that have fallen over. Moreover, such detection often occurs in environments with insufficient light or in rain, snow, or fog. There is also the challenge of detecting stationary objects at a distance, such as cardboard boxes, people next to highway guardrails, and construction equipment. Currently, there are solutions in the industry that enable AEB with a single 4D imaging radar sensor, such as the Aumovio ARS620, which can meet the national AEB standard with a single radar sensor and a detection range of 280 meters (cars and motorcycles) and 174 meters (pedestrians).

2. Performance leap makes up for the shortcomings in perception. 4D imaging radar solves the problem that traditional radar cannot recognize high-altitude obstacles (such as height restriction poles and road signs) and static objects (such as illegally parked vehicles on ramps). Its angular resolution is improved to 1-2° (equivalent to the level of 8-32 channel LiDAR), and its point cloud density is more than 8 times that of traditional radar (such as 2048 points per frame of the SINPRO SFR-2K). It can clearly restore the object outline and achieve accurate monitoring of objects obscured by vehicles in front (such as the brakes of vehicles in front). Meanwhile, it has all-weather anti-interference capabilities, and its detection range can still reach 300 meters even in harsh environments such as rain, snow, fog and haze, which is significantly better than cameras and LiDAR.

In reality, 4D radar can be divided into three types. The first type addresses basic altitude perception, with a point cloud density of less than 4,000 points/second and a range within 300 meters. The second type is 4D imaging radar, which provides high-resolution imaging for positioning, with a point cloud density typically between 30,000 and 100,000 points/second, a range within 350 meters, and an elevation angle of 0.8-1°. Examples include Huawei's 4D imaging radar, SINPRO's 4D imaging radar based on satellite architectures, and Arbe Phoenix. The third type is 4D digital imaging radar, which provides intelligent real-time perception for positioning, with a point cloud density typically higher than 100,000 points/second, a range within 400 meters, and an elevation angle improved to 0.5°-0.8°, enabling the detection of small objects and lane lines. The three are in a progressive relationship, jointly promoting the upgrade of perception redundancy in autonomous driving.

3. Cost advantage has become the core driving force for large-scale application. As dual-cascaded systems tend to replace quad-cascaded systems and single-chip integration, the unit price of 4D basic imaging radar has dropped from RMB500-1000 in early 2024 to RMB200-400 in 2025, approaching the price range of traditional radar and only 1/5 to 1/10 of that of LiDAR without requiring an additional cleaning system (the cleaning cost of LiDAR is almost the same as that of the radar itself).

With the optimization of chip processes (such as NXP's S32R47 processor and Milliverse's MVRA188 8-transmitter/8-receiver chip) and economies of scale, the cost is expected to drop below $100, which will accelerate application and popularization. 4D imaging radar has become a must-have option in the era of equal access to autonomous driving safety. 4D imaging radar has been added, or 4D radar has replaced the original traditional radar.

2. By 2030, 4D radar will account for over 50%.

According to ResearchInChina, 2.737 million and 11.06 million 4D radar sensors were installed in 2024 and 2025 respectively. The figure is projected to exceed 50 million by 2030, with the penetration rate rising from 26.0% in 2025 to 54.5%. Correspondingly, the penetration rates of forward-facing 4D radar and 4D corner radar will also jump, with 4D corner radar showing the fastest growth.

In terms of product selection, OEMs regard 4D radar as an important technological supplement to cameras and LiDAR. Cameras are responsible for high-resolution semantic understanding and color information, LiDAR provides dense 3D shape, and 4D radar offers stable distance, speed, and altitude information in low visibility or complex electromagnetic environments. OEMs consider factors such as performance-cost balance and integrated perception.

Integrated perception has become the mainstream, and OEMs are actively increasing and upgrading their perception hardware. OEMs (such as the ONVO L60) generally adopt the basic "4D radar + vision" solution, and high-end models (such as the Maextro S800) add LiDAR to create redundancy. At the algorithm level, the BEV+Transformer architecture has become the standard solution for multi-sensor fusion, improving object tracking stability through temporal modeling.

3. 4D radar develop toward three directions

1. Chip processes continue to evolve towards more advanced levels, with continuous improvement in integration and performance.

As the "heart" of radar, the radio frequency MMICs is the most critical in the industry chain. MMICs have undergone iterative upgrades from GaAs to SiGe and then to CMOS. Because CMOS wafers are inexpensive and highly integrated, a radar only requires one RF front-end MMIC and one BBIC, further reducing the system cost by 40%. For example, NXP's 28 nm RFCMOS radar chip - SAF85xx has significantly improved performance compared to the previous 45 nm product, while its cost has been greatly reduced. Calterah's Andes premium 8T8R imaging radar solution connects two 4T4R Andes SoCs (22nm CMOS radar SoC - Andes RoP chip) via C2C, simplifying the hardware design architecture and making it more competitive in terms of system cost. It can achieve a maximum detection range of 350 meters.

As the core components of 4D radar, RF MMICs and processors account for more than 50% of the cost. Currently, there are different solutions for efficiency improvement and cost reduction in the industry, and players choose different routes.

Chip cascading: Combining multiple MMICs (such as two 3T4R chips forming a 6T8R) increases the number of channels to enlarge the aperture. Its advantages lie in a short development cycle and a mature industrial chain, while its disadvantages include high power consumption, large size and low signal-to-noise ratio. For example, WHST's STA77-6 4D radar uses a dual-chip cascade with 6 transmitters and 8 receivers, achieving a detection range of 300 meters. Its 4D ST77-10 has a dual-chip cascade with 16 transmitters and 16 receivers, a field of view of 120° x 30°, a resolution of 1° (horizontal) x 1.5° (elevation), and a detection range of 350 meters. This 24T24R imaging radar solution is built on NXP's next-generation high-performance MPU (S32R47) and cascaded 8T8R chips. Paired with NXP's 24T24R array waveguide antenna reference design, the solution can achieve imaging-level accuracy with 576 virtual channels, meaning it can accurately recognize scattered small objects 160 meters away.

Chip integration: Typical single-chip high integration solutions (such as 8T8R) come from NXP and ANDAR. For example, ANDAR's ADT7880 single-chip solution integrates 8 transmitters and 8 receivers, supports digital beamforming (DBF) architectures and flexible cascading, significantly reducing system complexity and cost.

2. Packaging technology is developing towards higher integration, driving the miniaturization and integration of radar modules.

Currently, radar packaging technologies include AiP, RoP, LoP/LiP, and RoC. Among them, AiP, such as Calterah's Alps AiP and TI's AWR2944, sacrifices some detection range in exchange for extreme miniaturization, making it suitable for in-cockpit applications. LoP such as TI's AWR2544 and NXP's SAF85xx improves the signal-to-noise ratio by optimizing the signal path. Its principle is to transmit the radio frequency signal directly from the bottom of the package to the external 3D waveguide antenna, requiring only 2 signal conversions (bare die -> package substrate -> waveguide), reducing 4 conversions required by traditional packaging. It is suitable for satellite-based radar (corner radar, door handle radar) and L3+ autonomous driving (high angular resolution required). The innovative RoP, by replacing traditional feeders with radiators, handles the insufficient channel isolation in AiP, while avoiding the mechanical stability risks incurred by LoP, representing a new direction for 4D imaging radar.

Microstrip antennas are gradually being upgraded to 3D waveguide antennas. For example, the 8T8R 4D imaging satellite radar single-chip solution from Guibu Microelectronics uses a 3D waveguide antenna to improve the signal-to-noise ratio and transmit/receive isolation, reduce BOM cost by about 30%, and cut down power consumption by about 30% compared to competitors under the same operating conditions. Baolong Technology's high-performance waveguide 4D radar adopts an air waveguide antenna solution, featuring high radiation efficiency, good anti-interference, and active frequency conversion to avoid interference from other automotive radars.

3. Satellite-based 4D radar achieves 'distributed sensing + centralized computing', helping to reduce cost and improve efficiency.

The core of "satellite-based 4D radar" lies in software-hardware decoupling and centralized computing architectures. It separates computing from the sensor and concentrates it in a powerful central domain controller. The radar only retains necessary radio frequency components (such as MMICs and antennas) for data collection, while processing and decision-making are carried out in the domain controller.

On October 30, 2025, SINPRO officially released its next-generation satellite-based 4D imaging radar - 5R system. The system includes a single front-to-center satellite 4D imaging radar sensor (SFR2-4D-S) and four corner satellite 4D radar sensors (SCR2-4D-S).

On October 22, 2025, Chuhang Tech, in collaboration with Guibu Microelectronics, officially released its first 4D satellite-based radar product - forward-facing satellite radar with a single-chip 8T8R integrated waveguide antenna. Its performance is comparable to that of a dual-cascaded 4D radar, while reducing cost by 60%. The integrated waveguide antenna design reduces the size by 30% and improves anti-interference capability by 50%. With "full localization + extreme cost performance", it fills the gap in domestic high-end radar and helps China's automotive industry chain achieve autonomy.

Table of Contents

Terminology

1 Overview of Automotive 4D Radar

• 1.1 Overview
• 1.2 Detection Performance
• 1.3 4D Radar and 4D Imaging Radar (1)
• 1.3 4D Radar and 4D Imaging Radar (2)
• 1.4 Application Scenarios of 4D Radar (1)
• 1.4 Application Scenarios of 4D Radar (2)
• 1.5 Frame Rate Comparison between High-Definition Radar and Camera/LiDAR
• 1.6 4D Radar OEM Strategy
• 1.7 Reasons for the Trend of Installing 4D Imaging Radar in Vehicles
• 1.8 4D Imaging Radar Industry Chain

2 Automotive 4D Radar Market

• 2.1 Overview
  • 2.1.1 Status Quo
  • 2.1.2 Radar Type - Forward-facing Radar (1)
  • 2.1.2 Radar Type - Forward-facing Radar (2)
  • 2.1.2 Radar Type - Forward-facing Radar (3)
  • 2.1.3 Radar Type - Corner Radar (1)
  • 2.1.3 Radar Type - Corner Radar (2)
  • 2.1.3 Radar Type - Corner Radar (3)
  • 2.1.4 Price Range - Overview
  • 2.1.5 Price Range - RMB100,000-150,000
  • 2.1.6 Price Range - RMB150,000-200,000
  • 2.1.7 Price Range - RMB200,000-250,000
  • 2.1.8 Price Range - RMB250,000-300,000
  • 2.1.9 Price Range - RMB300,000-350,000
  • 2.1.10 Price Range - RMB350,000-400,000
  • 2.1.11 Price Range - RMB400,000-500,000
  • 2.1.12 Price Range - RMB500,000+
• 2.2 Automotive 4D Radar Market
  • 2.2.1 Radar Type - Price Distribution and Competitive Landscape of 4D Forward-facing Radar
  • 2.2.2 Radar Type - 4D Forward-facing Radar by Brand
  • 2.2.3 Radar Type - Price Distribution and Competitive Landscape of 4D Corner Radar
  • 2.2.4 Radar Type - 4D Corner Radar by Brand
  • 2.2.5 4D Radar by Price - Overview
  • 2.2.6 Price Range - RMB0-100,000 - 4D Radar Solution
  • 2.2.7 Price Range - RMB100,000-150,000 - 4D Radar Solution
  • 2.2.8 Price Range - RMB150,000-200,000 - 4D Radar Solution
  • 2.2.9 Price Range - RMB200,000-250,000 - 4D Radar Solution
  • 2.2.10 Price Range - RMB250,000-300,000 - 4D Radar Solution
  • 2.2.11 Price Range - RMB300,000-350,000 - 4D Radar Solution
  • 2.2.12 Price Range - RMB350,000-400,000 - 4D Radar Solution
  • 2.2.13 Price Range - RMB400,000-500,000 - 4D Radar Solutionh
  • 2.2.14 Price Range - RMB500,000+ - 4D Radar Solution
• 2.3 Radar Market in 2025-2030E
  • 2.3.1 Prediction of Radar 3D & 4D Installations
  • 2.3.1 Calculation of Radar 3D & 4D Installations
  • 2.3.2 Prediction of Radar Installations per Vehicle
  • 2.3.3 Features of 4D Radar Market: Explosive Growth in Installations
  • 2.3.4 4D Radar Installations, 2024-2030E
  • 2.3.5 Percentage of Automotive 4D Radar, 2024-2030E
  • 2.3.6 Automotive 4D Radar Market Size, 2024-2030E
  • 2.3.6 Basis for Estimating Automotive 4D Radar Market Size

3 Chinese Passenger Car 4D Radar Enterprises

• 3.1 SINPRO
• Next-Generation Satellite-Based 4D Imaging Radar
• Technical Parameters of and Vehicle Models Supported by 4D Imaging Radar
• Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
• Production Base/Capacity
• 3.2 WHST
• 4D Imaging Radar
• 4D Radar Models and Vehicle Models Supported
• Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
• Breakdown of 4D Corner Radar Installations by Vehicle Model
• 3.3 Cheng-Tech
• 4D Radar (1)
• 4D Radar (5)
• 4D Radar Models and Vehicle Models Supported
• Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
• Breakdown of 4D Corner Radar Installations by Vehicle Model
• 3.4 Huawei
• High-Precision 4D Radar
• Breakdown of 4D Radar Installations by Vehicle Model
• 3.5 Freetech
• 4D Imaging Radar (1)
• 4D Imaging Radar (2)
• Breakdown of 4D Imaging Radar Installations by Vehicle Model
• 3.6 Muniu Technology
• Profile
• Next-Generation 4D Imaging Radar (1)
• Next-Generation 4D Imaging Radar (2)
• 3.7 Autoroad Technology
• 4D Imaging Radar (1)
• 4D Imaging Radar (2)
• 4D Imaging Radar Comparison
• 3.8 Chuhang Tech
• Profile
• 4D Satellite-Based Radar (1)
• 4D Satellite-Based Radar (2)
• 4D Satellite-Based Radar (3)
• 3.9 StarLeading
• Profile and Development History
• 4D Radar
• Designated Project
• 3.10 Hasco
• 4D Imaging Radar
• Jingwei Hirain
• Imaging Radar
• 3.12 Desay SV
• 4D radar
• 3.13 Nova
• 4D Radar
• 3.14 Baolong Automotive
• High-Performance Waveguide 4D Radar
• Designated Radar Case
• 3.15 Nanoradar
• 4D High-Resolution Imaging Radar
• 3.16 Raytron Technology
• 4D radar
• 3.17 Weifu High-Technology
• 4D Imaging Radar
• Front Radar
• Corner Radar
• 3.18 Huaqin Technology
• 4D Radar
• 3.19 Lingtong Technology
• 4D Radar
• 4D Waveguide Corner Radar
• 4D Radar System for Central Computing

4 Foreign Passenger Car 4D Radar Enterprises

• 4.1 AUMOVIO
• Profile
• ARS620 Forward-Facing Radar
• SRR630 Corner Radar
• 4D Radar (1)
• 4D Radar (2)
• Breakdown of 4D Radar Installations by Vehicle Model
• 4.2 APTIV
• Gen-8 Radar Series (1)
• Gen-8 Radar Series (2)
• Gen-8 Radar Series - Forward-Facing 4D Radar (1)
• Gen-8 Radar Series - Forward-Facing 4D Radar (2)
• Gen-8 Radar Series - Corner Radar (1)
• Gen-8 Radar Series - Corner Radar (2)
• PULSE Radar Vision Integrated Perception System
• Breakdown of 4D Radar Installations by Vehicle Model
• 4.3 BOSCH
• Overview of Business Development in China
• Seventh-Generation Radar
• Sixth-Generation Radar
• Sixth-Generation Radar
• Comparison between Fifth-Generation Radar VS Sixth-Generation Radar
• Fifth-Generation radar
• 4.4 ZF
• Layout in China
• 4D Radar
• Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
• Breakdown of 4D Rear Center Radar Installations by Vehicle Model
• 4.5 Mobileye
• Imaging Radar
• 4.6 Altos Radar
• 4D Imaging Radar

5 Automotive 4D Radar Chip/Antenna Enterprises

• 5.1 TI
• Automotive Radar Portfolio
• ADAS Radar
• Highly Integrated Single-Chip Radar
• AWR2x44P/ECO/LC
• ADAS High-Performance Corner Radar/Forward-Facing Radar with AWR2944P RoC
• Body and Chassis Radar
• AWRL6432 & AWRL6844
• AWRL6844
• 5.2 NXP
• 4D Imaging Radar Framework Diagram
• Radar SoC Framework Diagram
• Radar Transceiver and SoC
• S32R Radar Processor
• S32R Imaging Radar MPU
• S32Rxx Radar Processor
• S32Rxx Imaging Radar Processor
• S32Rxxx Imaging Radar Solution
• S32Rxxx Imaging Radar Solution Framework Diagram
• 24T24R Imaging Radar Solution
• DAR High-Resolution Radar Technology
• 5.3 Infineon
• RASIC(TM) 77 GHz Sensor Portfolio
• RASIC(TM) Radar MMIC
• RASIC(TM) CTRX8191F Radar MMIC
• Automotive XENSIV(TM) 24GHz Radar
• Automotive XENSIV(TM) 60GHz Radar
• 5.4 Arbe
• Profile
• Chipset (1)
• Chipset (2)
• Phoenix Radar (1)
• Phoenix Radar (2)
• Phoenix Radar (3)
• 5.5 Uhnder
• Imaging Radar Solution (1)
• Imaging Radar Solution (2)
• 5.6 Calterah
• Andes: 4D Imaging Radar (1)
• Andes: 4D Imaging Radar (2)
• Advanced Imaging Radar Solution
• 5.7 ANDAR
• Profile
• Radar Chip Matrix
• ADT2011/2012
• 4D Imaging Radar Chip (1)
• 4D Imaging Radar Chip (2)
• Radar Chip (1)
• Radar Chip (2)
• Radar Chip (3)
• Radar Chip (4)
• Radar Development Platform (1)
• Radar Development Platform (2)
• Radar Development Platform (3)
• 5.8 Guibu Microelectronics
• 4D Imaging Radar Chip (1)
• 4D Imaging Radar Chip (2)
• 5.9 SenardMicro
• Profile
• 4D Radar Transceiver (1)
• 4D Radar Transceiver (2)
• 5.10 Milliverse (Archiwave)
• 4D Imaging Radar MMIC
• 5.11 Possumic
• Profile
• 4D Radar SoC (1)
• 4D Radar SoC (2)
• 5.12 SGR Semiconductors
• Automotive Radar Chip (1)
• Automotive Radar Chip (2)
• 5.13 Southchip Semiconductor Technology
• Radar Chip
• 5.14 Boxun Communications
• Automotive 4D Radar Antenna
• 5.15 SPEED Wireless Technology
• Radar Waveguide Antenna (1)
• Radar Waveguide Antenna (5)
• 5.16 Waveland Technology
• Profile
• Radar Waveguide Antenna
• 5.17 SMARTCOMTECH
• Automotive Radar Antenna
• 5.18 HUBER+SUHNER
• Profile
• Plastic Metallized Waveguide Antenna (1)
• Plastic Metallized Waveguide Antenna (2)
• Plastic Metallized Waveguide Antenna (3)

6 Summary and Trends of Automotive 4D Radar

• 6.1 Comparison of 4D Radar Chip Companies in Technical Parameters and Customers
• 6.2 Comparison of 4D Radar Technologies in Parameters (1)
• 6.2 Comparison of 4D Radar Technologies in Parameters (5)
• 6.3 Vehicle Models Equipped with 4D Radar (1)
• 6.3 Vehicle Models Equipped with 4D Radar (2)
• 6.3 Vehicle Models Equipped with 4D Radar (3)
• 6.4 Trend 1:
• 6.5 Trend 2:
• 6.6 Trend 3:
• 6.7 Trend 4:
• 6.8 Trend 5:
• 6.9 Trend 6:
• 6.10 Trend 7:
• 6.11 Trend 8:
• 6.12 Trend 9: