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Yesterday, Jianghuai Automobile handed over 32 Ruifeng S3 cars to Baidu and joined their high-precision mapping team. This delivery brings Baidu's mapping fleet to over 280 vehicles. At the same time, Baidu showcased their standardized high-precision map production process, highlighting improvements in both precision and production efficiency.
During the event, Baidu and Jianghuai Automobile unveiled their collaboration plan for the first time. They aim to release an autonomous driving production model in 2019, marking a significant milestone for Baidu's Apollo open platform. Jianghuai Automobile is Baidu's first key partner for autonomous driving, receiving comprehensive solutions covering high-precision maps, positioning, environment perception, decision-making, and more. These efforts are set to culminate in mass production by late 2019.
Gu Weiwei, General Manager of Baidu's Intelligent Vehicle Division, emphasized that Baidu is uniquely positioned in China, possessing advanced high-precision mapping technology and a complete suite of autonomous driving solutions. He noted that their partnership with Jianghuai represents a critical step forward in autonomous driving production. High-precision maps are vital for navigation and safety in self-driving cars, serving as essential data for Baidu's Apollo cloud services.
At Baidu's Shanghai R&D center, the media was given a detailed look at the standardized processes involved in creating high-precision maps. Media representatives were also invited to experience firsthand the field data collection using Baidu's specialized vehicles.
According to Baidu's high-precision mapping team leader, these maps serve three primary roles in autonomous driving: acting as a "clairvoyant" to anticipate road conditions ahead, providing supplementary data when cameras or radar fail, and functioning as a "safety officer" by identifying obstacles and making preemptive decisions.
Baidu's high-precision maps stand out due to their extreme detail, high automation, and extensive coverage. They can reconstruct nearly every object on real roads, precisely detailing features like traffic signs, lane lines, and guardrails, with a relative accuracy of 0.1 to 0.2 meters. This level of detail surpasses industry standards.
In terms of efficiency, Baidu leverages AI technologies such as pattern recognition, deep learning, 3D reconstruction, and point cloud processing to automate 90% of the data processing. This allows them to automatically recognize hundreds of targets with over 95% accuracy.
Coverage-wise, Baidu boasts the largest mapping fleet in China, equipped with fully autonomous software and hardware systems. They aim to cover all national highways and urban expressways this year. Additionally, their intelligent map platform supports minute-by-minute updates through multi-source data processing, cloud services, and data centers.
Baidu began its high-precision mapping research in 2013 and now offers end-to-end solutions with complete intellectual property rights. Their ability to independently acquire and process data gives them a significant cost advantage, placing them at the forefront globally in terms of data accuracy, quality, and production capacity.
As autonomous driving matures, mass production is becoming a critical challenge. Since its launch in April, the Apollo Autonomous Driving Platform has garnered support from over 50 global automotive leaders and suppliers. Gu Weiwei stated, "We hope to empower the entire autonomous driving sector, fostering collaboration through the Apollo ecosystem to accelerate the advent of the autonomous future."
This partnership with Jianghuai signifies a major leap forward in Baidu's mission to democratize autonomous driving technology, ensuring safer and more efficient transportation solutions for the future.
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