1) WPT navigation
航路点导航
1.
This paper derives a group of formulas about WPT navigation based on great circle and rhumb line calculation.
根据当前船位和预置的航路点位置计算航路点导航参数是舰船导航的基本问题,为此推导了一组大圆航法和等角航法下航路点导航参数的解析计算公式,非常适合于在组合导航系统中使用。
2.
This paper introduces the basic principle of WPT navigation,brings forward a kind of calculation method of marine navigational parameters,and discusses the navigational parameters derivation and calculation based on great circle navigation.
根据当前船位和预置的航路点位置计算航路点导航参数是海上导航的基本问题。
2) road navigation
道路导航
1.
This paper presents a method for road navigation,which takes local singular value vectors of image matrix as the feature input and a BP neural network as the classifier.
提出以道路图像矩阵的局部奇异值向量作为特征输入 ,以BP神经网络作为分类器的道路导航方法 。
4) navigation path
导航路径
1.
Firstly,a number of concentric circles are produced in the view of robot,and a navigation path is mapped out using particle swarm optimization.
该方法在机器人视野域内产生若干个同心圆进行环境建模,然后利用粒子群优化算法规划出一条导航路径,机器人每前进一步,都由粒子群优化算法重新规划导航路径,因此,机器人前进路径不断动态修改,从而能使机器人沿一条全局优化的路径接近终点。
2.
The method was established by first using the grid space robot model,based on the use of local programming method to search to be global navigation path,and then PSO local vertical and horizontal adjustment path points on the navigation path,get a better path.
该方法首先用栅格法建立机器人运动空间模型,在此基础上利用局部规划方法进行搜索得到全局导航路径,然后用微粒群算法局部垂直和水平调节导航路径上的路径点,得到更优路径。