DUBLIN, May 8, 2019 /PRNewswire/ -- The "Global and China Automated Parking and Autonomous Parking Industry Report, 2018-2019" report has been added to ResearchAndMarkets.com's offering.
Automated parking system (APS) or automated parking assistant (APA) can measure the distance and angle between the vehicle body and its surroundings, collecting sensory data to work out the operation flow whilst automatically tuning the steering wheel, brake and throttle to pull into the parking space. The automated parking system can be divided by technical grades into semi-automatic parking (automatic steering only), fully automated parking (inclusive of automatic steering and automatic forwarding & reversing), autonomous valet parking (AVP), among others.
The automated parking system is generally composed of environment perception system, the central control system (path planning system) and the execution system (vehicle control system). Taking the diversity of automated parking systems into account, the author recently rolled out the Global and China Automated Parking and Autonomous Parking Industry Report, 2018-2019 where all automated parking systems are classified into nine levels including APL1, APL1.5, APL2, APL2.5, APL3, APL3.5, APL4, APL5, and APL6.
In the mass-produced vehicle models with APS, the automated parking system still needs to be improved in real experience and is faced with system recognition errors and the occurrence of scratches. Most APS renders ultrasonic sensors for monitoring parking spaces, but ultrasonic sensors are vulnerable to surface stains & defects, raindrops, ice, snow, etc., and thus fail to be brought into full play.
Recognition of parking spaces and the process of automated parking are subject to environmental factors. The currently mass-produced APS system, for example, usually cannot recognize well lids, pits or loose kerbs, tiny objects on the parking space, among other things.
The current best-selling models with APS function are primarily from foreign automakers like Benz, Buick, Volkswagen, BMW and Land Rover as well as China-made premium brands LYNK&CO, Great Wall Motor's WEY, etc.
As automotive intelligence technologies and sensor technologies, in particular, are developing apace, OEMs are beginning to apply more sensors in the automated parking system, facilitating the maturation of the APS technologies. Automated parking has already been a highlight of new car sales.
Among emerging car manufacturers, Xiaopeng Motors focuses on automatic parking. Xpeng G3 carries 20 environmental sensors including 12 ultrasonic sensors, 5 vision sensors, and 3 radars. That XPENG uses numerous sensor systems to make parking spaces recognized more accurately and lift probability of success in parking is an effective solution to the problems of low parking space recognition and many unsuccessful parking cases, adding more automatic parking capabilities. Xiaopeng says that the success rate of its car automatic parking system exceeds 70% compared with less than 5% in general automatic parking and Tesla's 13%.
As automatic parking technology grows mature and OEMs invest more in APS, installation of such a system will soar from 2020 after years of slow increase, expectedly outstripping 20% in 2023.
Traditional automakers follow an upgrading automated parking technology roadmap in ToC market, while Tier1 suppliers, technology firms and start-ups also have made an attempt to deploy automated valet parking (AVP) pilot projects at one go in the ToB market.
Key Topics Covered:
- Automated Parking Concepts and Technologies
- Automated Parking Market
- Parking Technology Standards
- APA/AVP Technology Providers
- OEM APA/AVP Application and Trends
Companies Mentioned
- Baidu AVP
- BMW
- Bosch
- Chang'an Automobile
- Chery Jaguar Land Rover
- Daimler Benz
- eMapgo
- Ford
- Geely
- General Motors
- Great Wall Motors
- HoloMatic
- Honda
- Hyundai Mobis
- Intesight
- Kunchen
- Momenta
- SAIC
- Tesla
- UISEE
- Valeo
- Volkswagen
- Volvo
- XPENG Motors
- ZongMu Technology
For more information about this report visit https://www.researchandmarkets.com/r/ftbm3o
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