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ROSE: the road simulation environment

机译:玫瑰:道路仿真环境

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摘要

Evaluation of advanced sensing systems for autonomous vehicle navigation (AVN) is currently carried out off-line with prerecorded image sequences taken by physically attaching the sensors to the ego-vehicle. The data collection process is cumbersome and costly as well as highly restricted to specific road environments and weather conditions. This work proposes the use of scientific animation in modeling and representation of real-world traffic scenes and aims to produce an efficient, reliable and cost-effective concept evaluation suite for AVN sensing algorithms. ROSE is organized in a modular fashion consisting of the route generator, the journey generator, the sequence description generator and the renderer. The application was developed in MATLAB and POV-Ray was selected as the rendering module. User-friendly graphical user interfaces have been designed to allow easy selection of animation parameters and monitoring of the generation proces. The system, in its current form, allows the generation of various traffic scenarios, providing for an adequate number of static/dynamic objects, road types and environmental conditions. Initial tests on the robustness of various image processing algorithms to varying lighting and weather conditions have been already carried out.
机译:对自主车辆导航(AVN)的高级感测系统的评估目前与通过物理地将传感器物理附着到EGO-载体的预象的图像序列进行离线。数据收集过程繁琐,并且昂贵以及高度限于特定的道路环境和天气条件。这项工作提出了使用科学动画在现实世界交通场景的建模和代表中,并旨在为AVN传感算法生产高效,可靠且经济高效的概念评估套件。玫瑰以模块化方式组织,包括路径发电机,旅程发生器,序列说明生成器和渲染器。该应用程序是在Matlab中开发的,并选择PoV射线作为渲染模块。用户友好的图形用户界面旨在允许轻松选择动画参数和监视生成过程。该系统的目前的形式允许生成各种交通方案,提供足够数量的静态/动态对象,道路类型和环境条件。已经已经进行了对各种图像处理算法的鲁棒性与变化照明和天气条件的初始测试。

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