An superior driver-assistance system (ADAS) has turned out to be essential for automotive consumers, as eight out of 10 are prepared to pay for the characteristic, mentioned Zhang Kai, the chairman of Beijing-based autonomous driving firm Haomo.AI Technology Co., Ltd., on the agency’s seventh AI Day occasion held on January 5.
Zhang additionally shared with individuals his insights on the highest 10 developments within the autonomous driving trade.

Zhang Kai, the chairman of Haomo.AI, speaks on the firm’s AI Day occasion on January 5, 2023.
Autonomous driving sector will absolutely enter the three.0 period
Tesla has moved into the data-driven autonomous driving 3.0 period, away from the hardware-driven 1.0 period and the software-driven 2.0 period, whereas firms in China which have chosen a “progressive” path to full automation, represented by Haomo, will enter this stage in 2023 after they obtain the info closed loop by way of mass manufacturing and utility of ADAS.
Intelligent driving will develop into an ordinary characteristic for mid-range passenger automobiles
An ADAS characteristic that depends on bizarre navigation maps, relatively than high-definition maps, can scale back prices a lot that will probably be attainable for automakers to present that as an ordinary characteristic in medium-level automobiles.
Great Wall Motor has geared up Haomo’s ADAS characteristic in additional than 20 fashions thus far.
New-generation chips and sensors will enter the market
With the speedy surge within the penetration charge of clever automobiles in China, chip and sensor shipments are exhibiting sturdy development.
In 2023, a brand new era of AI chips in China and overseas, in addition to 4D millimeter-wave radar and blind-compensating LiDar (Light Detection and Ranging) will enter the market in a significant approach, offering extra selections for autonomous driving firms.
Big AI fashions will velocity up autonomous driving evolution
Transformer, which has been utilized by Haomo in addition to increasingly different firms to prepare their algorithms, can minimize prices in information synthesis and data extraction and velocity up the improve of autonomous driving applied sciences tremendously.
For customers, effectivity in commuting issues greater than capabilities
Driven by actual person information, the iteration of clever driving techniques is extra correct, and the iteration velocity can be growing quick. As a end result, the race to obtain very smart driving skills will change from a contest for useful completeness to a contest for bettering commuting effectivity.
Supercomputing facilities shall be an entry-level requirement for autonomous driving firms
As autonomous driving enterprises transfer towards the three.0 period, the data-driven mode of “big model + big data” turns into the important thing to the evolution of autonomous driving expertise. As a end result, the supercomputing middle that drives the coaching of massive fashions and big quantities of information will develop into the entry-level requirement for autonomous driving enterprises.
Haomo launched MANA OASIS, China’s largest self-driving computing middle, on the AI Day occasion, together with Volcano Engine, a cloud service platform owned by ByteDance.
Mana Oasis has a complete computing energy of 670 Pflops, or 670 quadrillion floating-point operations per second, greater than the 600 Pflops of EV maker XPeng.
ADAS options for city roads shall be extensively obtainable to automakers
In 2022, ADAS for passenger automobiles began to perform past highways on city roads on a trial foundation. In 2023, such options will work inside metropolis areas on a big scale.
ADAS options relying purely on navigation maps, relatively than high-definition maps, allow a large protection of extra cities.
In the primary half of 2024, Haomo plans to cowl 100 cities in China with its ADAS resolution, enabling automobiles to drive and park autonomously in city areas.
Car homeowners will rely extra on ADAS
As increasingly drivers begin utilizing ADAS, they’ll shift from simply experiencing innovation within the automotive trade to counting on partial automation.
Great Wall Motor automobile homeowners have used HPilot, Haomo’s autonomous driving resolution, throughout a mixed distance of 25 million kilometers on Chinese highways.
Cost of an autonomous van will fall beneath RMB 100,000
Although autonomous driving for the logistics sector has confronted some setbacks within the United States, the trade in China has ushered in favorable coverage help.
In addition, the price for a Level 4 autonomous driving van will fall beneath RMB 100,000.
Currently, Haomo sells such a van, the Xiaomotuo or HDeliver, at RMB 128,888. Moreover, Haomo has additionally been leveraging Xiaomotuo to present supply providers to shoppers. The quantity of on-demand grocery supply orders fulfilled by Xiaomotuo to WuMart by the tip of 2022 had reached 130,000.
Haomo established cooperation with Nasdaq-listed on-demand providers supplier Dada Group in November to co-develop unmanned deliveries frequently.
SEE ALSO: China’s Smart Car Sector Now Ahead of Europe and US, Haomo Chairman Says
High demand for AI expertise will proceed
Although expertise firms downsized in 2022, autonomous driving firms continued to compete for AI expertise.
As vehicle intelligentization will stay the principle battlefield within the expertise sector in 2023 and past, the competitors for AI autonomous driving expertise will persist.
Haomo has began to recruit staff based mostly in Munich, Germany, this 12 months. The firm can be searching for expertise for R&D positions in Beijing, Baoding, Shenzhen and Shanghai.
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