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IT之家 科技新闻· · Original publication time AI score53

Volkswagen introduces HS8 L2++ driver assistance system, planned for seven new vehicles this yearMachine translation

大众推出L2++驾驶辅助方案HS8,今年计划搭载七款新车

Automatically verified and published · Generated and evidence-checked automatically; not reviewed by a human.

AI-assisted summary

Volkswagen Group China has introduced its in-house Hyper Sense 8 driver assistance system, which supports urban and highway navigation-assisted driving and parking assistance across scenarios. It is planned for seven new electrified vehicles from three of the group’s joint ventures this year. Volkswagen also says its GAIA 2.0 AI world model can run safety simulations equivalent to 5 million kilometers of real driving each day.

Article · AI translation

IT Home reported on October 28 that at the inaugural Volkswagen Group (China) Technology Day held today, Volkswagen Group (China) officially unveiled an integrated technology matrix called “VEGA,” comprising three core technologies: a vehicle platform, an electronic and electrical architecture, and an advanced driver assistance system (ADAS).

Volkswagen believes advanced driver assistance systems have become an important factor in Chinese consumers’ car purchasing decisions. Drawing on its local intelligent driving center, CARIZON, Volkswagen has introduced Hyper Sense 8 (HS8), its first independently developed, all-scenario L2++ advanced driver assistance solution.

According to the introduction, HS8 will be installed this year in seven new electrified products from the group’s three vehicle joint ventures, and will cover more models in the future. Designed for China’s complex and varied road conditions, HS8 supports navigation-assisted driving (NOA) in cities and on highways, as well as parking assistance in all scenarios.

Volkswagen said its self-developed AI world model, GAIA 2.0, can conduct intelligent-driving safety simulation tests each day equivalent to 5 million kilometers of real-world driving, while using real road data from as many as 30 million scenario segments to continuously improve the system’s capabilities.

Compared with the group’s previous-generation technology development approach, GAIA 2.0 has increased the utilization rate of useful data by 10 times and the collection rate of long-tail scenario data by 50 times. With the support of simulation technology, GAIA 2.0 aims to reach 10 million kilometers of training mileage per day in preparation for L3 autonomous driving.

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