High-end smart driving has entered the "popularization" cycle, and these four car companies have won the annual program innovation award

The wave of NOA high-end intelligent driving driven by leading new energy vehicle companies such as Tesla and Ideal is sweeping the entire automotive industry. Including Geely, Guangzhou Automobile, Changan, Hongqi and other top independent brands are also accelerating their progress. At the same time, they have achieved equal rights in technology in terms of NOA, electronic and electrical architecture, and data closed-loop platforms.

On June 8-9, the 14th Gaogong Intelligent Vehicle Developers Conference will focus on the technology upgrade and market demand of the intelligent driving track in the core links of computing platforms, sensors, high-precision positioning, data closed-loop, and system integration in the next few years Changes, discussing industry opportunities driven by the dual factors of technology + market.

During the same period of the conference, the organizer Gaogong Intelligent Vehicle Research Institute presented the annual intelligent driving core software and hardware competitiveness suppliers and product solutions awards on the spot; among them, Geely, Changan, GAC, and Hongqi won the intelligent driving innovation solution awards of auto companies.

In October last year, Geely Automobile's new Boyue L began to be delivered. As a new model under the CMA framework, it was first equipped with NOA's high-end intelligent driving assistance function. At the same time, it also set off a new wave of NOA for cars priced at 150,000 yuan.

In October 2021, Geely Auto released the "Smart Geely 2025" strategy, which includes accelerating the transformation to intelligence, realizing comprehensive software self-development, and mass production of high-end intelligent driving.

At the same time, as a platform-based product, in the future, based on the high-level intelligent driving technology platform, this solution will also be equipped with more mid-to-high-end brand models of Geely. Previously, with the help of Geely's high-precision positioning services (space-time Daoyu) and map services (Lango Technology), the layout of space-space-ground integration was realized.

GAC Aion, as a dark horse in the new energy vehicle market in the past two years, also officially released a new generation of electrical and electronic architecture last year - Protoss architecture, which was first installed on Hyper GT. Relying on the ADiGO PILOT data closed-loop platform and the full-stack self-developed multi-fusion perception algorithm, it realizes all-weather and all-scenario intelligent perception coverage.

This architecture adopts a multi-integrated intelligent driving perception system. By adding redundant sensing hardware such as infrared remote sensing technology and second-generation zoom lidar, the recognition accuracy of night driving, rainy and foggy weather, and glare from passing cars is enhanced.

In addition, the architecture can achieve hardware plug-and-play, with a maximum computing power of 2000TOPS, a 10-fold increase in transmission speed, a 40% increase in the wiring harness loops of the architecture, and a reduction of 20 controllers. At the same time, based on the central supercomputing and four regional controllers, it is also known as the "vehicle-cloud integrated centralized computing electronic and electrical architecture".

Changan Automobile adopts a two-way parallel strategy. The Deep Blue series will start to get on the car this year. NID3.0 pilot intelligent driving assistance and APA7.0 remote valet parking are based on a variety of sensory environment algorithms, behavioral decision-making algorithms combined with rules and big data. .

At the same time, Avita, Changan's high-end electric smart car brand, is the first batch of iteratively upgraded Huawei's high-end intelligent driving system ADS 2.0, and relies on Changan Automobile's understanding of cars and users to realize the feedback of multi-dimensional scene data.

Last year, Changan Automobile released a new smart brand "Zhuge Smart", which includes three aspects of interaction, intelligence and ecology; at the same time, the new generation of SDA architecture supports pluggable hardware, programmable scenarios, on-demand ecology and self-evolution of the system.

FAW Hongqi is mainly promoting the next-generation FEEA3.0 architecture, which has evolved from the original central gateway distributed architecture to a service-oriented regional fusion architecture. It has achieved high software and hardware decoupling, high computing power, high reliability, and multi-service development. The "three highs and one many" architecture platform capabilities.

According to the plan, this structure will be first installed on Hongqi's new car this year, and will be introduced on a large scale in subsequent new models. In addition to multi-sensor fusion control, FAW's self-developed AI perception & fusion algorithm and planning decision-making control software will also be deployed.

In terms of core suppliers, FAW Hongqi is also continuing to promote the launch of local solutions, including suppliers such as Black Sesame Smart, Freetech, Sagitar Juchuang, etc., which have already obtained a number of new models.

According to the monitoring data of Gaogong Intelligent Automobile Industry Research Institute, from January to April 2023, 239,600 passenger cars with NOA optional configuration will be delivered in the Chinese market, a year-on-year increase of 87.63%. Among them, the proportion of models below 300,000 has exceeded 25%. . The average price of NOA standard delivery models was 353,300 yuan, a year-on-year decrease of 9.39%.

Gaogong Intelligent Automobile Research Institute predicts that with the launch and delivery of more NOA-equipped new vehicles in the second half of the year, especially the addition of first-line brand mass-produced models, the number of NOA pre-installed standard equipment this year may sprint to the 500,000 mark. The hardware pre-buried has the opportunity to release the market demand of millions of sets.

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Origin blog.csdn.net/GGAI_AI/article/details/131220656