摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑最新交通研究成果-智能交通系统已发表.据新华社记者从江苏发回的新闻报道，研究表明，“高清晰度地图对自动车辆导航至关重要，但室内导航由于高昂的成本，停车场的地图仍然很差。为了解决这个问题，众包模式收集数据从大批量生产车辆中的消费者级传感器创建语义地图。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Transportation - Intelli gent Transport Systems have been published.According to news reporting originat ing from Jiangsu, People’s Republic of China, by NewsRx correspondents,research stated, “High-definition maps are essential for autonomous vehicle navigation, but indoorparking lots remain poorly mapped due to high costs. To address this, a crowdsourcing model gathers datafrom consumer-grade sensors in mass-produced vehicles to create semantic maps.”
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