This paper presents a lane recognition method which can satisfy the high-speed requirement of outdoor mobile robots.
提出了一种可满足室外移动机器人高速行驶要求的车道线检测识别方法。
A high speed lane detection method that satisfies the safety requirements of outdoor mobile robots was developed based on the segment-line road model and augmented transition networks (ATN).
为了满足室外移动机器人高速安全行驶的要求，提出了一种基于分段直线模型和增强型状态转移网络(atn)的车道识别方法。
According to the specialties of the area-covering mobile robots working in the outdoor environment, a new solution to the boundary set-up and identification of unmarked operational area is proposed.
针对工作在户外环境中的全区域覆盖移动机器人，提出在无人为标识的工作环境中，建立边界和识别边界的新方案。
Aiming at visual navigation of mobile robots in outdoor environment, a road understanding algorithm based on the kernel region information and general knowledge is presented.
针对户外移动机器人视觉导航，提出了一种基于核心区域和经验知识的道路理解算法。
Aiming at visual navigation of mobile robots in outdoor environment, a road understanding algorithm based on the kernel region information and general knowledge is presented.
针对户外移动机器人视觉导航，提出了一种基于核心区域和经验知识的道路理解算法。
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