Artificial intelligence application high-precision map data production Baidu will build autonomous driving models

Yesterday, Jianghuai Automobile delivered 32 Ruifeng S3 cars to Baidu and joined Baidu's high-precision map collection team. At this point, Baidu map collection fleet of more than 280 vehicles. At the same time, Baidu has demonstrated the whole process of standardized production of high-precision maps, and strengthened the level of refinement and production efficiency in the production process of high-precision maps.

Artificial intelligence application high-precision map data production Baidu will build autonomous driving models

At the event, Baidu and Jianghuai Automobile revealed the clear cooperation plan for the first time. The two sides will launch the auto-driving production model in 2019. This has also become the first batch of self-driving solutions since Baidu released the Apollo open platform. Milestone event.

According to reports, Jianghuai Automobile is the first important partner of Baidu Apollo's automatic driving open platform. Baidu will provide Jianghuai Automobile with comprehensive solutions including high-precision maps, self-positioning, environmental awareness, decision-making and other key aspects of automatic driving. The two sides will launch auto-driving models in the second half of 2019, and will be able to face the market after passing the acceptance. Mass production is carried out.

Artificial intelligence application high-precision map data production Baidu will build autonomous driving models
Speech by Gu Weiwei, General Manager of Baidu Smart Car Division

Gu Weiwei, general manager of Baidu Smart Vehicles Division, said, “Baidu is the only company in China that has a high-precision map leading technology and a complete layout of autonomous driving solutions.” He believes that Baidu’s cooperation with Jianghuai will Since becoming the Apollo platform, the first batch of high-precision maps have reached the milestone of automatic driving production.

High-precision maps are the key to auto-driving planning decisions and ensuring security, and are also important data for Baidu's Apollo cloud service. In Baidu Shanghai R&D Center, Baidu explained the whole process of standardization production of high-precision maps to the media in detail, and invited the media to take the high-precision map collection vehicle to experience the field collection and data pre-processing.

Artificial intelligence application high-precision map data production Baidu will build autonomous driving models
Jianghuai Automobile Delivers Baidu's dozens of vehicles for high-precision map collection
According to the person in charge of Baidu High-precision Map, the high-precision map has three main functions in the automatic driving process: first, the “clairvoyance” of automatic driving, knowing the position information in advance, and accurately planning the driving route; second, the “driving mirror” for automatic driving "In the place where the camera is not clear or the radar cannot detect, the data is promptly fed back. Thirdly, it acts as a "safety officer" in the process of automatic driving, which can accurately identify hundreds of targets such as traffic signs and markings, and make in advance Accurate judgment and decision making

Overall, Baidu's high-precision map has three core advantages: high level of refinement, high automation productivity and wide coverage.

In terms of the degree of refinement, Baidu's high-precision map can realize three-dimensional reconstruction of almost all objects on the real road, and finely depict hundreds of elements and attributes such as traffic signs, lane lines and guardrail roadsides on the road, with a relative accuracy of 0.1. -0.2 meters, the highest level in the industry.

In terms of production efficiency, Baidu has pioneered the widespread use of artificial intelligence technology in the production of map data. Based on world-leading technologies such as pattern recognition, deep learning, 3D reconstruction, and point cloud information processing, Baidu's high-precision map data is super-automatically processed. 90%, can automatically identify hundreds of targets such as traffic signs, ground signs, lane lines, signal lights, etc., with an accuracy rate of over 95%.

In terms of coverage, Baidu has the largest collection fleet in China, forming a completely autonomous software and hardware collection platform, which will achieve full coverage of national high-speed and urban expressways within the year. At the same time, relying on multi-source-aware data processing, cloud service center and data center and other Intelligent Map platform, Baidu high-precision map can achieve minute-level updates.

Artificial intelligence application high-precision map data production Baidu will build autonomous driving models
Baidu high-precision map collection vehicle

Baidu's high-precision map research and development work was launched in 2013. It is the only high-precision map data provider with complete independent intellectual property rights and independent research and development capabilities from acquisition equipment to data processing. Full independent research and development and mass production capabilities make Baidu High-precision maps have an absolute cost advantage. At present, Baidu High-precision Map has reached the world's leading level in terms of data accuracy, quality and large-scale production capacity, and will provide strong support for partners to develop automatic driving.

With the maturity of autonomous driving technology, mass production has become an important issue in the industry, and Baidu intends to be the driving force behind it. Since its launch in April, the Apollo Autopilot Open Platform has been awarded by more than 50 leading domestic and international automakers and component suppliers. Gu Weijun said: "Baidu hopes to become the enabler of the entire autonomous driving industry, through the Apollo ecosystem, to give more partners "participation rights", and to achieve complementary advantages and resource synergy with partners, work together to accelerate the arrival of the era of automatic driving ."

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