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市場調查報告書

自動停車的全球市場及中國市場調查:2019年∼2020年

Automated/Autonomous Parking Industry Report, 2019-2020

出版商 ResearchInChina 商品編碼 792805
出版日期 內容資訊 英文 160 Pages
商品交期: 最快1-2個工作天內
價格
自動停車的全球市場及中國市場調查:2019年∼2020年 Automated/Autonomous Parking Industry Report, 2019-2020
出版日期: 2020年04月24日內容資訊: 英文 160 Pages
簡介

中國的小客車的自動停車,2019年成為7.7%。中國大多數新車(小客車)2019年預裝自動停車用的超音波解決方案,不過,超音波與視覺融合解決方案佔極小的佔有率。可是,第四季可見到上升趨勢。

本報告提供世界及中國的自動停車產業的最新趨勢與未來展望相關分析,技術與開發趨勢,各汽車模式的季度銷售額排行榜,各價格的安裝率,專利申請趨勢,自動停車技術的規格,及主要企業簡介等彙整。

第1章 自動停車的概念、技術

  • 概念、定義
  • 自動停車系統的結構、技術
  • 開發趨勢

第2章 自動停車市場

  • 新APA支援車輛模式的比率、季度佔有率
  • 新APA支援車輛模式的分類、季度銷售量 (超音波,相機,超音波+相機)
  • APA支援車輛模式的排行榜:各銷售額 (汽車品牌,車輛模式)
  • 主要汽車品牌的APA解決方案及代表性的車輛模式
  • APA的安裝率:各價格
  • APA排行榜的前30名:各安裝率 (各汽車品牌)
  • 超音波APA的季度安裝率:各價格
  • (相機+超音波) APA的季度安裝率:各價格
  • 超音波APA的季度超音波雷達數
  • APA解決方案排行榜:各安裝率
  • 自動停車專利申請的排行榜
  • 中國的小客車市場上自動停車的安裝率

第3章 APA/AVP方案

  • 停車方案
  • 停車空間的搜尋
  • 障礙物檢測
  • 障礙物的迴避
  • 一鍵通話
  • 一鍵停車

第4章 APS/APA/AVP的技術供應商

  • Valeo
  • Bosch
  • Hyundai Mobis
  • ZongMu Technology
  • UISEE
  • Baidu AVP
  • HoloMatic
  • Intesight
  • Momenta
  • eMapgo
  • Kunchen
  • Motovis
  • Nullmax
  • Space Tech
  • TJD Parking

第5章 OEM APA/AVP 應用、趨勢

  • Volkswagen
  • Tesla
  • Changan Automobile
  • Geely
  • XPENG Motors
  • SAIC
  • Chery
  • GAC
目錄

Why is the installation rate of automated parking not high?

Automated parking was found in 7.7 percent of passenger cars in China in 2019, according to the data from ResearchInChina.

As shown in the table above, most Chinese new passenger cars were pre-installed with ultrasonic solutions for automated parking in 2019; while ultrasonic + vision fusion solution only held tiny shares but saw an uptrend from the fourth quarter.

The moderate assembly rate of automated parking results from the limited scenarios of traditional ultrasonic parking solutions where the driver has to stay in the car. To tackle this problem, there are two ways: better performance of ultrasonic radars and more sensors (such as cameras and millimeter-wave radars).

For instance, the AionS Automated Parking System, which was launched by GAC in the first half of 2019, uses 12 Bosch sixth-generation ultrasonic radars to detect a longer range than the previous generation and probe objects as close as 3cm instead of the original 6cm with faster refresh and agility.

More emerging models such as Changan CS75 PLUS, Geely Xingyue, SAIC Roewe MARVEL X, Chery EXEED, etc. have embarked on ultrasonic + vision fusion parking solutions.

Rare application of ultrasonic + visual fusion solution in the past lies in lack of algorithms and powerful compute. Tesla, the pioneer going intelligent, has long resorted to ultrasonic solutions, and its automated parking capability has not performed well. Even Smart Summon launched in the second half of 2019 is not so successful, either.

Tesla's all models equipped with Autopilot 2.0 carry NVIDIA's Drive PX2 chip which supports the access to up to 6 cameras. Autopilot 2.0 cannot bolster full work of 8 cameras in the car whatever the compute or video ports. Thus, Autopilot 2.0 does not attend to the fusion of ultrasonic + vision automated parking assistant sufficiently.

According to the study by Chris Zheng, Tesla annotates the mid-range camera in the front trifocal camera at 36 frames per second, records the front fisheye camera and four side-view cameras at 9 frames per second, while it temporarily abandons the remaining front long-range camera and rear-view camera. That is to say, when Autopilot is enabled, only 6 cameras in the car are involved in labeling and perception, of which only the front mid-range camera keeps a high perception frequency while the remaining 5 cameras run strenuously with the limited computing power.

Tesla began to develop chips for strong compute. In 2019, Elon Musk unveiled the Autopilot HW 3.0 hardware upgrade powered by Tesla's self-developed FSD chip. The previous version HW2.5 uses Nvidia's Drive PX2 chip. In terms of computing power, the new chip can process about 21 times more images per second than the old one (110 frames per second), at 2,300 frames per second. If all 8 cameras are running at 36 frames per second, the whole vehicle output will be 288 frames per second, which is equivalent to 12.5% of the processing capacity of the FSD chip and is quite sufficient for automated parking.

After solving the computing power, Tesla launched "Smart Summon" at the end of 2019, which is designed to allow the car to drive to the user or an appointed place by the user, maneuvering around objects and parking as necessary. The actual tests prove that Smart Summon still does not work in many cases, indicating that the algorithm needs improvement.

In March 2020, Musk said Tesla would finish work on Autopilot core foundation codes and 3D labelling to provide better algorithms and features for its cars, and then it would unveil "Reverse Summon" soon. Reverse Summon will likely be a mirror feature to Tesla's existing "Smart Summon". Whereas Smart Summon allows the user's car to navigate from its parking space to the user, Reverse Summon likely reverses this. As such, it would conceivably entail that the user's car can drop the user off, and then navigate to a parking space on its own. To ensure safety, Smart Summon works with the Tesla mobile app when the user's phone is located within approximately 65 meters of the car with a projected top speed of 8 km/h.

Taking Tesla as a reference, OEMs and Tier1 suppliers are upgrading automated parking systems.

Desay SV told investors that its automated parking system using the vision + ultrasonic fusion solution (algorithms backed by MOMENTA) has been spawned for Chery EXEED, Geely Xing Yue and other models.

Tesla's new deep neural network will integrate all sub-neural networks including perception, path planning, and target recognition. The cooperation between Desay SV, which is adept at hardware, and MOMENTA, a veteran offer of neural network algorithms, inspires traditional Tier1 suppliers.

Valeo has long led the pack in the APA field, and its vision + ultrasonic fusion solution -- Park4U Remote has been applied to Mercedes-Benz's new S-Class sedans and Changan's new CS75 PLUS. With the powerful remote parking, Changan CS75 PLUS has been a best-seller nowadays.

To cater to the complicated parking scenarios in China, Valeo has prepared different sensor combinations for automated parking: Vision + Ultrasonic Radar Fusion Solution, and Millimeter Wave Radar + Ultrasonic Radar Fusion Solution. In 2020, a number of models using Valeo's automated parking solutions will be launched.

By launching Valeo.ai based in Paris, Valeo aims to host an open community network dedicated to the development of automotive applications in artificial intelligence and deep learning.

Souped-up compute and algorithms are not only necessary for automated parking and AVP systems, but also crucial to cockpit system, connected system, ADAS, etc. This involves changes in the vehicle's E/E architecture, super processors, domain controllers, vehicle OTA, information security, to name a few.

In the next few years, decentralized ECUs will be replaced by domain controllers whose development is often dominated by OEMs and Tier1 suppliers. The space for independent parking controllers is narrowing. For APA / AVP startups, it is of vital importance to improve algorithmic competences and have closer collaborations with Tier1 suppliers.

Table of Contents

1 Automated Parking Concepts and Technologies

  • 1.1 Concepts and Definition
    • 1.1.1 Concepts of Automated Parking and Autonomous Valet Parking
    • 1.1.2 Typical Architecture and Classification of AVP System
    • 1.1.3 Rating and Evolution of Automated Parking
  • 1.2 Composition and Technologies of Automatic Parking System
    • 1.2.1 Composition
    • 1.2.2 Fundamental Principles
    • 1.2.3 Automated Parking System Configuration of Typical Foreign Vehicle Models
  • 1.3 Development Trends of Automated Parking Industry

2 Automated Parking Market

  • 2.1 Proportion and Quarterly Sales Share of New APA-enabled Vehicle Models, 2017Q1-2019Q4
  • 2.2 Classification and Quarterly Sales Volume of New APA-enabled Vehicle Models (by Ultrasonic and Ultrasonic + Camera)
  • 2.3 Ranking of APA-enabled Vehicle Models in 2019 by Sales Volume (by Car Brand and Vehicle Model)
  • 2.4 APA Solutions and Representative Vehicle Models of Major Car Brands
  • 2.5 Installation Rate of APA by Price, 2017Q1-2019Q4
  • 2.6 Top 30 APA Ranking by Installation Rate in 2019 (by Car Brand)
  • 2.7 Quarterly Installation Rate of Ultrasonic APA by Price, 2017Q1-2019Q4
  • 2.8 Quarterly Installation Rate of (Camera + Ultrasonic) APA by Price, 2017Q1-2019Q4
  • 2.9 Quarterly Ultrasonic Radar Number of Ultrasonic APA, 2017Q1-2019Q4
  • 2.10 APA Solution Ranking by Installation Rate in 2019 (by Car Brand)
  • 2.11 Installation Rate of Automated Parking in Chinese Passenger Car Market, 2014-2023E

3 APA/AVP Scenarios

  • 3.1 Parking Scenarios
  • 3.2 Search for Parking Spaces
    • 3.2.1 Introduction
    • 3.2.2 Related Technology
    • 3.2.3 Requirements for Search and Identification
  • 3.3 Obstacle Detection
  • 3.4 Obstacle Avoidance
    • 3.4.1 Static Obstacle Avoidance
    • 3.4.2 Dynamic Obstacle Avoidance
    • 3.4.3 Dynamic Obstacle Avoidance Tests
  • 3.5 Parking into Parking Spaces
    • 3.5.1 Parallel Parking
    • 3.5.2 Vertical Parking
  • 3.6 One-key Car Calling
  • 3.7 One-key Parking

4 APS / APA / AVP Technology Providers

  • 4.1 Valeo
    • 4.1.1 Parking Business
    • 4.1.2 Parking Product Line
    • 4.1.3 Automated Parking Technology Roadmap
    • 4.1.4 Park4U and Cyber Valet Services
    • 4.1.5 Next-generation Park4U Automated Parking System
  • 4.2 Bosch
    • 4.2.1 ADAS/Parking Product Layout
    • 4.2.2 L2 Automated Parking Technology and Implementation
    • 4.2.3 L3-L5 Automated Parking Planning
    • 4.2.4 AVP Projects
    • 4.2.5 AVP Partners
    • 4.2.6 AVP Clients
  • 4.3 Hyundai Mobis
    • 4.3.1 AVPS
    • 4.3.2 AVP and Wireless Charging
  • 4.4 ZongmuTech
    • 4.4.1 Profile
    • 4.4.2 Integrated Solution of Shared Mobility and Autonomous Parking
    • 4.4.3 Product Technology
    • 4.4.4 Partners
    • 4.4.5 Customers
  • 4.5 UISEE
    • 4.5.1 Profile
    • 4.5.2 Autonomous Parking Technolgy Solution and Progress
    • 4.5.3 Implementation of Automated Valet Parking Technology
    • 4.5.4 Partners
  • 4.6 Baidu AVP
    • 4.6.1 Introduction to Baidu AVP
    • 4.6.2 Features of AVP Technology
    • 4.6.3 Car-Cloud-Map-Field Fusion Solution
    • 4.6.4 AVP Security Framework
  • 4.7 HoloMatic
    • 4.7.1 Profile
    • 4.7.2 New Parking Products
    • 4.7.3 Latest Dynamics
  • 4.8 Intesight
    • 4.8.1 Profile
    • 4.8.2 Parking System Development Plan
    • 4.8.3 Product Technology
    • 4.8.4 Deep Learning Framework and Parking Space Data Collection
  • 4.9 Momenta
    • 4.9.1 Profile
    • 4.9.2 Priority Scenarios of Autonomous Driving
    • 4.9.3 Autonomous Parking Solution
    • 4.9.4 Intelligent Parking Roadmap
  • 4.10 Kunchen
    • 4.10.1 Profile
    • 4.10.2 Autonomous Driving Positioning Solution
    • 4.10.3 AVP Application Solution Based on UWB Technology
    • 4.10.4 Autonomous Driving Application Cases
    • 4.10.5 Roadmap of Location Products for Autonomous Driving
  • 4.11 ForViSiON
  • 4.12 Motovis
    • 4.12.1 Profile
    • 4.12.2 VSLAM Technology
    • 4.12.3 APA and AVP Technical Solutions
    • 4.12.4 Latest Dynamics of Automated Parking
  • 4.13 Nullmax
    • 4.13.1 Profile
    • 4.13.2 Focus on Application Software Layer
    • 4.13.3 Product Plan
  • 4.14 Space Tech
    • 4.14.1 Profile
    • 4.14.2 Automated Parking Technology Solutions
    • 4.14.3 Cross-border Strategic Cooperation
  • 4.15 TJD Parking

5 OEM APA/AVP Application and Trends

  • 5.1 Volkswagen
    • 5.1.1 Introduction to Automated Parking System
    • 5.1.2 Automated Parking Testing and Parking Services
  • 5.2 Tesla
    • 5.2.1 Features of MODEL 3 Automated Parking
    • 5.2.2 Features of MODEL S Automated Parking
    • 5.2.3 Features of Smart Summon
    • 5.2.4 Detailed Functionality of Smart Summon
  • 5.3 Changan Automobile
    • 5.3.1 Automated Parking Layout
    • 5.3.2 Features of APA5.0
    • 5.3.3 Precautions of APA5.0
    • 5.3.4 Features of Remote Parking via Mobile Phone
  • 5.4 Geely
    • 5.4.1 Automated Parking Development Plan
    • 5.4.2 "Crawler" Intelligent Parking System
    • 5.4.3 Features of Xing Yue Automated Parking
    • 5.4.4 Precautions of Xing Yue Automated Parking
  • 5.5 XPENG Motors
    • 5.5.1 Introduction to Automated Parking System
    • 5.5.2 Automated Parking Technology
    • 5.5.3 Parking Space Recognition and Memory
    • 5.5.4 Limitations of G3 Automated Parking
  • 5.6 SAIC
    • 5.6.1 Roewe's APA and AVP
    • 5.6.2 Self-learning Parking Assistant System
    • 5.6.3 Remote Parking
    • 5.6.4 Last-mile Autonomous Parking System
  • 5.7 Chery
    • 5.7.1 Progress of Chery APA/AVP
    • 5.7.2 Introduction to EXEED Automated Parking
    • 5.7.3 Features of EXEED Automated Parking
    • 5.7.4 Precautions of EXEED Automated Parking
  • 5.8 GAC
    • 5.8.1 APA and AVP
    • 5.8.2 Features of AION Automated Parking System