HydraView:用于自动驾驶汽车的多传感器同步360度视图

Luodai Yang, Qian Jia, Ruijun Wang, Jie Cao, Weisong Shi
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引用次数: 1

摘要

如今的自动驾驶汽车将部署多个传感器,以实现安全可靠的导航和对环境的精确感知。虽然多传感器在提供周围区域的鲁棒性和完整描述方面具有优势,但在实时处理中多传感器的同步是极其重要的。当数据同步时,定位、感知、计划和控制等主要功能系统都将受益。在本文中,我们提出了一种同步数据说明和收集方法,以辅助自动驾驶的数据处理应用。我们提出的不同传感器之间的解决方案可以直接部署在自动驾驶汽车上进行数据集成和环境分析,以支持驾驶模型的构建。实验结果验证了我们提出的方法可以提供360度同步视图,同时提供实时扫描的能力,减少80%的延迟。
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HydraView: A Synchronized 360◦-View of Multiple Sensors for Autonomous Vehicles
Today’s autonomous vehicles will deploy multiple sensors to achieve safe and reliable navigation and precise perception of the environment. Although multiple sensors can be advantageous in terms of providing a robust and complete description of the surrounding area, the synchronization of multi-sensors in real-time processing is extremely important. When data is synchronized, primary functional systems such as localization, perception, planning, and control, will all benefit. In this paper, we proposed a synchronized data illustration and collection method to assist the data processing applications for autonomous driving. Our proposed solution among different sensors can be directly deployed on autonomous vehicles for data integration and environment analysis to support the driving model construction. The experimental results validate that our proposed method can present a 360◦ synchronized view while providing the capability of real-time scanning with up to 80% reduced latency.
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MetroCAD 2020 Opinion Accurate Object Detection in Smart Transportation Using Multiple Cameras MetroCAD 2020 Breaker Page Sponsors: MetroCAD 2020 Collaborative Autonomous Driving: Vision and Challenges
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