The development moves to the phase of dimensions and cost reduction | Jobs Recent


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Dublin, December 19, 2022 (GLOBE NEWSWIRE) — The Global and China Autonomous Driving and Start-ups Report, 2022 has been added to ResearchAndMarkets.com offering.

L4 autonomous driving research: the industry is entering a new development phase, “dimension reduction + cost reduction”.

L3/L4 autonomous driving has much more political support.

The development of L3/L4 autonomous driving requires both political and technological support. From 2022, China is giving much more political support to high-level autonomous driving.

The New Energy Vehicles Industry Development Plan (2021-2035) issued by the State Council indicates that “by 2025 L4 vehicles will be commercialized in limited areas and scenarios, and by 2035 L4 vehicles will be widely used”.

On March 1, 2022, the recommended national standard GB/T 40429-2021 Taxonomy of Driving Automation for Vehicles entered into force. In November 2022, the Ministry of Industry and Information Technology, together with the Ministry of Public Security, organized the development of a Notification on the pilot entry and transit of intelligent connected vehicles (draft for comment), proposing a pilot introduction of ready-to-production intelligent connected vehicles with autonomous driving functions (L3 and L4 in GB/T 40429-2021).

Regarding local governments, the Beijing Municipality Administrative Regulations for autonomous shuttles in pilot areas, published in November 2022, implementing the principles of connected smart vehicles (road test and demonstration application) are the first policy in China to give appropriate priority in form of coding for autonomous shuttles. In August 2022, the Regulation on the Administration of Smart Connected Vehicles in the Shenzhen Special Economic Zone came into force. This is China’s first L3 autonomous driving regulation, highlighting the first clear identification of accident liability.

As the knockout begins, suppliers of L4 autonomous driving are looking for “cost reduction + dimension reduction” and the industry enters the phase of large-scale commercial application.

Currently, the rate of installing autonomous driving functions in vehicles is increasing, and the L2/L2+ autonomous driving technology is relatively mature. The competition in the market is hot. To gain a greater competitive advantage, OEMs and autonomous driving solution providers are competing to enter the next level of autonomous driving.

However, high-level autonomous driving takes more capital, and a full commercial closed loop is unlikely to be built in the short term. In October 2022, Argo AI, a star start-up specializing in autonomous driving L4, filed for bankruptcy due to a broken capital chain, which was due to the inability to attract further investment, as its sponsors, Ford and Volkswagen, decided to stop investing in it.

Despite discontinuing investment in Argo AI and focusing on the easier-to-deploy L2+/L3, Ford remains optimistic about L4 autonomous driving, but does not want to develop on its own. In the future, it will cooperate with suppliers of solutions for autonomous driving L4.

The case of Argo AI shows the challenges facing suppliers of L4 autonomous vehicles at the current stage. If they do not try to develop real commercial solutions, they may eventually be eradicated by the market under the pressure of capital. In order to continue on the L4 autonomous driving track, all major suppliers are targeting the mass production OEM passenger car market and are beginning to apply ‘downsizing’ while working hard on L4 technology.

(1) “Dimension reduction” application.

QCraft: propose a two-engine strategy. On the one hand, based on software and hardware solutions for autonomous driving on public roads, L4 constantly strives to improve its technical competences; on the other hand, based on mass production and large-scale application of autonomous driving to the OEM market, it is constantly expanding application scenarios.

In May 2022, QCraft introduced DBQ V4, a self-driving solution for the passenger car OEM market. It supports 1 to 5 LiDARs, 0 to 4 blind spot radars, 6 radars and 12 perceptual cameras, enables 360-degree perception without loss of blind spots and blind corners, and enables mutual redundancy between left and right sides. It also includes a customized traffic light recognition camera. The solution is to be mass-produced and installed in vehicles in 2023-2024.

DBQ V4 offers standard and high configuration versions. The high-configuration version has all the features of L4 autonomous driving. Compared to the high configuration version, the standard version has a slightly lower configuration but can still provide 99% of the L4’s autonomous driving capabilities. The DBQ V4 autonomous driving solution integrates full autonomous driving software and hardware technologies independently developed by QCraft. The standard version with a reduced LiDAR configuration includes a computing platform with less computing power, which can reduce the cost of mass production to about RMB 10,000. The mass-produced OEM solution also enables integrated driving and parking functions.

Cruise: As of 2021, he is working on building the Ultra Cruise intelligent driving system for GM. This feature is primarily fitted to high-end GM vehicle models and complements the Super Cruise system by helping GM adopt driving assist technologies across all models.

Compared to Super Cruise, Ultra Cruise has added some new autonomous driving features:

  • Follow the internal navigation route and keep moving forward;

  • Respect the speed limit

  • Supports automatic lane change on demand

  • Supports auto left and right turns

  • Support avoiding close objects

Cost reduction application.

In addition, high cost is also a major obstacle to deploying L4 autonomous driving products. For cost-sensitive passenger cars in particular, it’s obvious that the L4’s autonomous driving, which generally costs hundreds of thousands of yuan, doesn’t justify it. Therefore, all suppliers began to vigorously “cut costs”.

Deeproute.ai: In June 2022, Deeproute.ai launched DeepRoute-Driver 2.0, a low-cost L4 autonomous driving system worth $10,000 (approximately RMB 64,000). This solution includes 2 to 5 solid-state LiDAR LEDs and 8 cameras, a high-performance Nvidia Orin automotive chip, integrated navigation and HD map, enabling high-level autonomous driving.

Deeproute.ai says that in the future, the cost of L4 autonomous driving could be lowered to less than RMB 20,000 by working with conventional OEMs on mass production and uniform hardware procurement.

Haomo.ai: In April 2022, Haomo.ai introduced Little Magic Camel 2.0, a product priced at RMB 128,800 per vehicle. Haomo.ai can build RMB 100,000 worth of autonomous distribution vehicles, mainly because their autonomous distribution vehicles reuse passenger car autonomous driving technologies and cost less due to the advantages of the passenger car supply chain. In terms of hardware, Little Magic Camel 2.0 with an automotive perception set and ICU 3.0, a high-performance computing platform, can handle all medium and low speed road scenarios and all road conditions on urban public roads.

Reusing technology helps expand the many application scenarios for L4 autonomous driving systems.

Influenced by technology maturity and regulatory constraints, L4 autonomous driving is available for relatively limited application scenarios in the short term. The main application scenarios include Robotaxi, autonomous delivery, autonomous shuttle and autonomous logistics in (semi) closed scenarios.

Since L4 autonomous driving is piloted in application areas, the scale of deployments is not large, and only with tweaks can L4 autonomous driving technology be reused in different types of vehicles, so L4 suppliers rarely follow one line of business and generally create multiple-deployment scenarios.

Key topics:

1 Rules, regulations and standards for autonomous driving L4
1.1 Taxonomy and standardization of L3/L4 autonomous driving
1.2 Rules and regulations for L3/L4 autonomous driving in China
1.3 Global Rules and Regulations for L3/L4 Autonomous Driving

2 Trends in the autonomous driving market L4
2.1 Size of the autonomous vehicle market L4
2.2 The competitive landscape of autonomous driving L4

3 Sub-scenarios of the L4 autonomous driving application
3.1 Business models
3.2 L4 – Robotaxi application scenarios
3.3 Application Scenarios L4 – Autonomous Shuttle
3.4 Application Scenarios L4 – Autonomous Delivery
3.5 Application Scenarios L4 – Autonomous Truck

4 key technologies for mass production of autonomous driving L4
4.1 Key autonomous driving technologies L4: algorithm
4.2 Key Technologies for Level 4 Autonomous Driving: Closed Data Loop
4.3 Key autonomous driving technologies L4: vehicle-road-cloud collaboration
4.4 Key autonomous driving technologies L4: HD map and positioning
4.5 Key autonomous driving technologies L4: Redundancy

5 L3/L4 Autonomous Driving Solutions from OEMs
5.1 OEM L3/L4 Autonomous Driving System
5.2 Jidu Auto
5.3 Xpeng motors
5.4 Great Wall Engine
5.5 Tesla
5.6 Toyota
5.7 Volvo
5.8 Other Car Manufacturers

6 L4 autonomous driving solutions from tier 1 vendors and start-ups
6.1 Development of L4 technology from Chinese and foreign suppliers
6.2 Waymo
6.3 Cruise
6.4 Northern Lights
6.5 Navy
6.7 Valeo
6.8 Baidu Apollo
6.9 Pony.ai
6.10 Let’s go
6.11 AutoX
6.12 Moment
6.13 Deeproute.ai
6.14Huawei
6.15 Haomo.ai
6.16 DeepBlue Technology
6.17 Allride.ai
6.18 UISEE technology
6.19 Idriverplus
6.20 QCraft
6.21 TuSimple
6.22 Plus.ai
6.23 Inceptio Technology
6.24 Ci Di

For more information on this report, please visit https://www.researchandmarkets.com/r/we0wk5

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