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Yesterday, Jianghuai Automobile handed over 32 Ruifeng S3 vehicles to Baidu and officially joined their high-precision mapping team. This delivery marked a significant step forward in Baidu's autonomous driving project, as their fleet now exceeds 280 vehicles. Additionally, Baidu showcased their advanced high-precision mapping production process, emphasizing both precision and efficiency in creating detailed maps.
At the event, Baidu and Jianghuai Automobile announced their collaborative efforts, revealing plans to release an autonomous driving solution in 2019. This marks a pivotal moment for Baidu's Apollo open platform, as it represents one of the first major milestones in autonomous driving production. Jianghuai Automobile has been a crucial early partner for Baidu, providing comprehensive support in areas like high-precision mapping, self-localization, environment perception, decision-making, and more. The collaboration aims to deliver a fully functional autonomous driving model by the end of 2019, ready for mass-market adoption.
Gu Weiwei, General Manager of Baidu's Intelligent Vehicle Division, emphasized Baidu's unique position in China as the sole company with both high-precision mapping expertise and a complete autonomous driving solution. He noted that this partnership with Jianghuai represents a significant achievement for Baidu's Apollo platform. High-precision maps are essential for autonomous driving, playing a critical role in navigation, safety, and decision-making. These maps also serve as vital data for Baidu's Apollo cloud services.
During the event, Baidu provided journalists with an in-depth look at their high-precision mapping process, highlighting how they utilize AI technologies like pattern recognition and deep learning to enhance their maps' accuracy and efficiency. Their high-precision maps can reconstruct almost every object on the road with remarkable detail, capturing elements like traffic signs, lane markings, and guardrails with a relative accuracy of 0.1-0.2 meters. This level of detail far surpasses industry standards.
In terms of production efficiency, Baidu has automated 90% of their map data processing, achieving an accuracy rate of over 95% when identifying features such as traffic signs, lane lines, and signals. Their extensive fleet of vehicles ensures nationwide coverage, with plans to map all highways and urban expressways by the end of the year. Furthermore, Baidu's maps can be updated in near real-time, thanks to their intelligent platform and cloud services.
Baidu's high-precision mapping initiative began in 2013, and today they stand as the only provider with complete intellectual property rights, from data acquisition to processing. Their ability to independently produce and scale up high-quality maps gives them a distinct competitive edge. Currently, Baidu's high-precision maps rank among the best globally in terms of accuracy, quality, and production capacity, offering robust support to partners developing autonomous driving solutions.
As autonomous driving becomes more viable, scaling up production is a pressing concern in the industry. Since its launch in April, the Apollo Autonomous Driving Open Platform has garnered interest from over 50 leading automotive companies worldwide. Gu Weiwei expressed Baidu's commitment to enabling the entire autonomous driving ecosystem, fostering collaboration and resource sharing to expedite the arrival of a driverless future.
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