The 12 most important technology partnerships in Connected & Automated Driving in 2020

The 12 most important technology partnerships in Connected & Automated Driving in 2020

2020 witnessed strategic technology partnerships in Lidar, Autonomous Trucks, Autonomous Driving Software, Robotaxis, and 5G for V2X to progress the roadmaps of automotive players to automated and connected driving.

Learn who collaborated with whom across the most crucial Automated Driving technology domains, what does it mean for the players, and what is our outlook on the Automated Driving market.

Technology Partnerships Automated Connected
Technology partnerships for Connected & Automated Driving (Image Credit: VW)

January 2020: Zenuity-HP

  • Technology domain: Data services and computing for Autonomous Driving
  • What: Zenuity partnered with Hewlett Packard for AI and higher performance computing for Autonomous Driving.
  • Why it matters: Digitalisation is a key enabler of current Connected Car and future mobility services. Also, Artificial Intelligence is one of the key enablers for the transition from today’s driver assistance systems to self-driving chauffeurs in private cars and first/last-mile transportation. Tier-1s need technology partners with expertise in data and computing to support data validation & verification of Automated Driving scenarios and feature development for carmakers.

February 2020: FCA-AutoX

  • Technology domain: Automated Mobility on Demand (AMoD)
  • What: Alibaba-back AutoX partnered with FCA to develop self-driving robotaxis.
  • Why it matters: Automated-Mobility-on Demand can solve challenges in B2C car sharing and B2C taxi services / ride hailing. Firstly, it can provide independence from brokering company and secondly, easy redistribution of vehicles. Carmakers are developing robotaxis mainly for two reasons. To tap into a promising new market as consumer needs in urban environment demand alternative business models of “consuming mobility in addition to or substituting vehicle ownership”. Moreover, through robotaxis, they can amortize the cost of expensive sensors, such as lidars, before they can fit them to passenger cars.

March 2020: Intel-Moovit

  • Technology domain: Mobility-as-a-Service (MaaS)
  • What: Moovit will join the Mobileye business while retaining its brand and existing partnerships.
  • Why it matters: The sharing economy expands to the automotive industry to reshape urban mobility. The addition of Moovit brings Intel’s Mobileye closer to achieving its plan to become a complete mobility provider, including robotaxi services, which is forecast to be an estimated $160 billion opportunity by 2030.

April 2020: APTIV-Hyundai

  • Technology domain: Autonomous Driving in Passenger Cars, AMoD
  • What: APTIV-Hyundai create Autonomous Joint-Venture called Motional for L4/5 platforms for robotaxis, fleet operators, and OEMs.
  • Why it matters: The need for technical expertise in new domains, reduction of capital wasting and acceleration of time-to-market fuel demand for collaboration to develop Autonomous Driving platforms.

The 12 most important technology partnerships in Connected & Automated Driving in 2020 1
Motional

May 2020: Huawei-Chinese carmakers

  • Technology domain: Connected Cars using 5G
  • What: Huawei partnered with Chinese carmakers to “cultivate 5G automobile ecosphere” according to the company. The first batch of 18 automakers of this alliance includes First Automobile Group, Chang’an Automobile, Dongfeng Motor Corporation, SAIC Motor Corporation, Guangzhou Automobile Group, BYD Auto, Great Wall Motors, Chery Holdings, and JAC Motors. 

June 2020: NVIDIA-Mercedes

  • Technology domain: Autonomous Driving Software
  • What: To build the world’s most advanced, software-defined vehicles.
  • Why it matters: Software can provide product differentiation and improve customer experience. If carmakers do not embrace tech change and invest in SW, they face being merely assemblers and lose access to a large revenue pool.

July 2020: FCA-Waymo

  • Technology domain: Autonomous Trucks and Passenger Cars
  • What: FCA and Waymo Further expand Autonomous Driving Technology Partnership.
  • Why it matters: Competition for leadership in the ADAS&AD space is intense and success requires expertise, substantial investment in terms of capital, human capital as well as time and time-to-market. This enhances the pursuit for (even) closer collaboration between players to develop components and platforms for higher levels of autonomy and avoid resource wasting.

August 2020: Toyota-Amazon

  • Technology domain: LV.4 Parking in Passenger Cars using V2I
  • What: Toyota and Amazon Web Services Collaborate on Toyota’s Mobility Services Platform: to expand Toyota’s Mobility Services Platform (MSPF), an ecosystem to help Toyota engineers develop, deploy, and manage the next generation of data-driven mobility services for driver and passenger safety, security, comfort, and convenience in Toyota’s cloud-connected vehicles.

September 2020: ZF-Aeva

  • Technology domain: Lidar for Lv.4 in Passenger Cars
  • What: Aeva and ZF partner to bring FMCW lidar to automotive grade volume production.
  • Why it matters: Lidar can complement radar and camera sensors to provide more robust perception of the vehicle’s environment required for highly-automated driving.

October 2020: Daimler Trucks-Waymo

  • Technology domain: Autonomous Trucks
  • What: Daimler Trucks and Waymo partner on the development of autonomous SAE Level 4 trucks. Also in October 2020, Daimler Trucks and Torc partnered with Luminar to enable automated trucking – Daimler Trucks acquires a minority stake in Luminar.
  • Why it matters: Autonomous Driving features such as multi-brand platooning and autonomous delivery of goods can have a substantial impact on the Commercial Vehicle market where asset tracking, fuel efficiency and road safety are of major importance.

November 2020: Mobileye-Luminar

  • Technology domain: Lidar for Lv.4 in Passenger Cars
  • What: Luminar partners with Mobileye for self-driving cars, following partnerships with Daimler Trucks and Volvo earlier in 2020. Mobileye said it will use Luminar’s lidar for the first generation of its Level 4 Mobility-as-a-Service pilot and driverless fleet in key markets around the world, including Tel Aviv, Israel; Dubai, United Arab Emirates; Paris; and Daegu City, South Korea.

December 2020: Uber-Aurora

  • Technology domain: Autonomous Trucks
  • What: Amazon-backed Aurora bought Uber’s ATG and announced a strategic partnership with Uber to strengthen Aurora Driver in heavy and light-duty vehicles.

Read more

To learn more about competition and market developments in the next decade read our reports

For more information, please contact us on (+44) (0)20 3286 4562 or info@auto2xtech.com.

3 reasons why China could win the Autonomous Driving race

3 reasons why China could win the Autonomous Driving race


  • Europe and the USA remain the geographies with the highest penetration of Autonomous driving but stricter road safety regulations and lack of standardization could still restrict fast deployment;
  • China’s commitment to Intelligent & Connected Vehicles could fast track regulatory changes to give a head start to domestic brands, while the advanced digital infrastructure and the burgeoning mobility market hold the potential to boost adoption of AMoD;
  • Successful expansion of Chinese pioneers beyond China in both AMoD and Lv.3/4 in passenger cars will be crucial to claim a stronger position in the Autonomous Driving race
3 reasons why China could win the Autonomous Driving race 2
Autonomous Driving

Europe is the leading geography in terms of ADAS deployment with Lv.2 penetration accounting for 35.8% of new car sales in 2020, followed by the USA with 16.8% respectively, according to Auto2x. But the amendment of regulations for Lv.3 Conditional Automation has delayed the roadmaps of European and American players in Europe for the last 3 years.

3 reasons why China could emerge as leading Autonomous Driving Mobility Hub

  • Automated Driving Technology: Chinese Carmakers leverage strategic ties with European OEMs and partnerships with domestic pioneers to close the technological gap for L2-4 and fast-track deployment. Domestic innovation and infrastructure in connectivity, internet services, and AI, is strong to support Autonomous Driving, and Vehicle-to-Vehicle & Infrastructure communication;
  • Autonomous Driving Regulation: What’s more, they could benefit substantially from the flexible domestic regulatory framework which favors domestic brands to move swiftly to deployment
  • Consumer adoption: China has a consumer base that has a high level of acceptance of innovative technologies. The country is also the world’s largest ride-hailing market which is working on robotaxis and autonomous deliveries

Therefore, Auto2x assesses that China will take global leadership of Lv.2-Driving sales in 2025 with 1.70 million cars, ahead of Europe and the USA.

1. Chinese carmakers have aggressive Automated Driving Roadmaps but deployment is concentrated on the domestic market

BAIC autonomous driving

BAIC completed Lv.3 testing in 2020; Auto2x expects BAIC to introduce Lv.2 by 2021 and shift to L3-4 from 2022

BAIC joined Baidu’s Project Apollo in Jul’17 and has been collaborating with Baidu in developing SAE Level 3 autonomous car technology. In Oct’19, the BEIJING-U7 L3 class self-driving prototype was displayed at the World Intelligent Connected Vehicles Conference, according to the company’s 2019 ESG report.

According to the same source, BAIC’s L3 system was being tested in 2019 and we expect it will be rolled out in 2021 in China. Some of the features include L4-VP, L3-TJP and V2X. Auto2x assesses that in 2025, 78% of BAIC’s model line-up will feature Lv.3 driving features, whereas Lv.4 will account for 22% their model line-up.

  • BYD offers Lv.2 parking in China since 2012 and they launched Level 2 DiPilot in 2020

In Apr’20 BYD officially launched its DiPilot ADAS which claims it optimizes ADAS to the driver’s input by means of notification and intervention under a system called DiTrainer. It also features: Lv.2-D Traffic Jam Assist and One-lane integrated Cruise; Lv.2-P: Remote Control Parking, L1-P Automated Parking Assist for the first time in the Han; Lv.1: AEB, ACC, LKA, and Lv.0: FCW and LDW

In Mar’20, sources claimed that BYD planned the launch of its BEV SUV Tang EV600 in Norway in 2021, marking the entry of its passenger cars to Europe through the country with the highest BEV penetration. Reports claim that some of the BEV Tang EV600’s ADAS will be Lv.2-P Remote Controlled Parking, L2-Driving which is not named, L1-Driving ACC, blind zone alert, file change alert, collision alert and automatic emergency braking. The expansion of ADAS features in Europe could be an important step for BYD to position itself better in the Autonomous Driving race.

China to take global leadership of L2-Driving sales in 2025 with 1.70 million cars

We assess that China will follow behind Europe and the USA in terms of sales of L2-L4 Driving features until 2025, with the exception of L2-D, where China will claim leadership in 2025. This is because of two reasons.  First, because today, many European and US carmakers lead the deployment of ADAS and innovate in Automated Driving technology.

Technology innovation in China, specifically through Baidu’s Apollo, could help bridge the gap. But as more brands in Europe and USA start shifting to L3-D especially towards the end of the first half of the next decade, causing L2-D sales to decrease, China’s L2-D sales will continue to grow which will allow them to surpass Europe and the USA in 2025.

Auto2x
  • NIO’s new eT7 marks a new level of competence in Autonomous Driving for Chinese carmakers

In Jan’21, NIO unveiled their new eT7, a new electric car with entry level 70kWh battery priced at $69,200, which features an impressive ADAS & autonomous driving sensor suite. NIO also announced a subscription to their autonomous driving service which costs $107 a month. 

NIO’s Autonomous Driving (NAD) in the description is designed for driver assistance purposes only and cannot fully replace driver’s control or handle all possible traffic, weather, and road conditions. The driver must maintain attention as necessary and interfere or take over the control promptly based on the surrounding environment. NAD should be used with caution in complex traffic, bad weather, or special road conditions.

NIO
3 reasons why China could win the Autonomous Driving race 3
NIO eT7’s sensing suite for Conditional Autonomous Driving (Credit: NIO)

2. Favourable regulatory framework could boost the Autonomous Driving Roadmaps of key Chinese Carmakers but further clarity is needed to support development plans of OEMs

Over the past few years, China has changed its policy towards Autonomous Driving from completely prohibiting testing on public roads to allowing specific tests following local testing regulations in major cities such as Beijing, Shanghai, Shenzhen and Chongqing. Today, L4-5 Automated driving is not permitted and all automated vehicles must be equipped with a black box to determine liability in case of an accident.

In Jan’21, China’s Ministry of Transport announced a policy document which promotes smart road infrastructure and cooperative systems, such as Vehicle-to-Vehicle or Vehicle-to-Infrastructure communications, for the commercialization of higher levels of autonomous driving by 2025.

The Chinese ICV standard system aims to develop a preliminary ICV standards system to support ADAS and Lv.3 by 2020 and a comprehensive system to support L4-5 by 2025. In Feb’20, China unveiled its blueprint to develop its own standards for AV by 2025.

We assess that China will follow the UN R79 amendments and the new Automated Lane Keeping Assist Systems which allows Lv.3-Conditional Automation circa 2021 but we are concerned over the following issues which need to be resolved to provide clarity to manufacturers of Automated Driving Systems.

  1. We believe that China will follow the R79 amendments and the new Automated Lane Keeping Assist Systems but it will probably seek to introduce additional requirements in the domestic market to give an edge to Chinese manufacturers. The restrictive framework of data collection for foreign players adversely affects their deployment roadmaps in China therefore an equal playing field is required;
  2. Also, China has multiple ministries which are responsible for the supervision of AD and there needs to be greater clarity regarding who regulates what and who oversees regulation and compliance;
    1. Research & planning on ICVs: Overall plan of ICV in China: MIIT; Industrial development strategy: CAAM; Technical development roadmap: SAE China; System planning: NTCAS;
    1. Applicability: Laws, rules, and regulations relating to automobile and other relevant industries; together with Compulsory national standard applying for automobile
  3. Further government action needed to develop higher quality highway infrastructure for autonomous vehicles which might give an edge to China comparing to Europe and the US which lead AD technology.

3. China’s burgeoning MaaS hub promotes autonomous mobility

China is the leading ride-hailing hub with an estimated 360 million registered users and more than 210 online car-hailing companies operating in the country, according to China’s Ministry of Transport.

Mobility companies, such as Uber and Didi are racing to deliver robotaxis which could allow them to offer a significantly lower cost service and gain market share. For Uber the cost of the driver is 70-80% of net revenue, substituting with Lv.4 could decrease operational cost and allow the company to become profitable as well as offering lower-cost service, even free in some cases, and subsidize from partners (e.g. Deliveroo).

During the pandemic, a number of mobility players in China accelerated their plans for autonomous deliveries to support hospitals, food delivery and other use cases. COVID-19 has impact consumer adoption towards autonomous deliveries which will be crucial for the adoption of autonomous driving in passenger cars.

The commercialization of robotaxis in China came one step closer recently with Baidu receiving the first license to test robotaxis without safety back-up drivers in Beijing, China. The company will test five of its self-driving Apollo vehicles which are retrofitted Lincoln MKZs and Chrysler Pacificas.

The adoption of robotaxis will play a crucial role in acceptance of self-driving cars. Safe operation can make or brake AMoD business models as demonstrated by the turmoil that AMoD faced after the first self-driving fatality caused an Uber test vehicle back in 2018.

Read more

To learn more about competition and market developments in the next decade read our report 30 Carmakers’ Roadmaps in Automated Driving up to 2025. For more information, please contact us on (+44) (0)20 3286 4562 or info@auto2xtech.com.