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讯飞车找板子返回坐标点程序

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import numpy as np


def rotate_vector(vector, angle):
"""
将向量旋转一定的角度
"""
# 将角度转换为弧度
angle_rad = np.deg2rad(angle)
# 构造旋转矩阵
rotation_matrix = np.array([[np.cos(angle_rad), -np.sin(angle_rad)],
[np.sin(angle_rad), np.cos(angle_rad)]])
# 使用旋转矩阵对向量进行旋转
rotated_vector = np.dot(rotation_matrix, vector)
# 保留三位有效数字
rotated_vector = np.around(rotated_vector, decimals=3)
return rotated_vector


def radians_to_vector(theta):
"""
将theta转化为向量
"""
# 计算向量的 x 和 y 分量
x = np.cos(theta)*1
y = np.sin(theta)*1
# 保留三位小数
x = np.around(x, decimals=3)
y = np.around(y, decimals=3)
return np.array([x, y])


def is_angle_less_than_X(x, v1, v2):
# 计算向量的点积
dot_product = np.dot(v1, v2)
# 计算向量的模长
v1_norm = np.linalg.norm(v1)
v2_norm = np.linalg.norm(v2)
# 计算夹角的余弦值
cos_angle = dot_product / (v1_norm * v2_norm)
# 计算 X 度的余弦值
cos_x_deg = np.cos(np.deg2rad(x))
return cos_angle > cos_x_deg


def is_angle_greater_than_90(v1, v2):
"""
判断两向量夹角是否大于90度,大于返回True
"""
# 计算向量的点积
dot_product = np.dot(v1, v2)
# 如果点积小于 0,则夹角大于 90 度
return dot_product < 0


class BoardTrue:
"""
用于判断并筛选出有效的板子
"""

def __init__(self, my_list, car_x, car_y, car_theta, cv_po):
self.my_list = my_list
self.car_x = np.around(car_x, decimals=3)
self.car_y = np.around(car_y, decimals=3)
self.car_theta = np.around(car_theta, decimals=3)
self.cv_po = np.around(cv_po, decimals=3)

def chose_board(self):
if len(self.my_list) == 0:
return None
else:
n = len(self.my_list)
print(n)
for i in range(n):
if 0.2 < self.my_list[i][2] < 0.7:
x = self.my_list[i][0] - self.car_x
y = self.my_list[i][1] - self.car_y
v1 = np.array([x, y])
v2 = radians_to_vector(self.car_theta)
print("i为" + str(i))
print(is_angle_less_than_X(70, v1, v2))
if is_angle_less_than_X(70, v1, v2):
print("dfg")
mapped_value = (self.cv_po - (0)) * (70 - (-10)) / (640 - 0) + (-70)
v3 = rotate_vector(v2, mapped_value)
if is_angle_less_than_X(25, v1, v3):
print("asd")
return self.my_list[i]
else:
continue
else:
continue
return None


class BoardWithCv:
"""
使用此类时,请确保传入的板子是一个且有效,他会返回一个导航点x,y,theta
"""

def __init__(self, car_x, car_y, car_theta, board_x, board_y, board_theta):
# 实例属性
self.car_x = np.around(car_x, decimals=3)
self.car_y = np.around(car_y, decimals=3)
self.car_theta = np.around(car_theta, decimals=3)
self.board_x = np.around(board_x, decimals=3)
self.board_y = np.around(board_y, decimals=3)
self.board_theta = np.around(board_theta, decimals=3)

def is_board_theta_ture(self):
"""
判断并执行板子的角度是否需要反转,并返回导航点,弧度,是否有效
:return:
"""
v1 = np.array([self.board_x - self.car_x, self.board_y - self.car_y])
v2 = radians_to_vector(self.board_theta)
if is_angle_greater_than_90(v1, v2):
self.board_theta = self.board_theta + 3.141
v2 = radians_to_vector(self.board_theta)
goal_x = np.around(self.board_x - 0.3 * v2[0], decimals=3)
goal_y = np.around(self.board_y - 0.3 * v2[1], decimals=3)
return goal_x, goal_y, self.board_theta


if __name__ == "__main__":
## 测试代码
# board=[-1,1,0.785]
board = [-1.6258577108383179, 1.445590853691101, 0.456392377614975, 0.011698315851390362, 1.518639469495104]
# board=[-3,1,3.14-0.785]
pos = BoardWithCv(-2, 0, 1.57, board[0], board[1], board[4])
print(pos.is_board_theta_ture())
my_list = [[-1, 1,0.5,0.02, 0.785], [-3, 1,0.5,0.02,3.14-0.785], [-2, 1,0.5,0.02,1.3]]
my_list2 =[]
my_list3 = [[-1.1039749383926392, -1.6410338878631592, 0.459942102432251, 0.006066703703254461, 2.404021134944642], [-1.0234383344650269, 1.4331644773483276, 0.6236299276351929, 0.0975717082619667, 0.6774194980518585], [-1.6258577108383179, 1.445590853691101, 0.456392377614975, 0.011698315851390362, 1.518639469495104], [-2.016007423400879, 1.6973320245742798, 0.17067547142505646, 0.008529485203325748, 1.4121627729088593], [-2.3203864097595215, 1.3803951740264893, 0.4648244082927704, 0.011016763746738434, 2.12274152271989]]
my_list4 = [[-2.2005648612976074, -1.9698346853256226, 0.26301005482673645, 0.02629818394780159, 1.2184761268334674], [-1.6092170476913452, -1.8576725721359253, 0.3533917963504791, 0.029181374236941338, 1.9172304414045462], [-1.0438616275787354, -1.4628329277038574, 0.47950631380081177, 0.013515759259462357, 2.4409537863628334], [-1.6358827352523804, 1.4406025409698486, 1.5764230489730835, 0.26953673362731934, 1.4236640668400438]]
my_list5 = [[-2.2020256519317627, -1.9928362369537354, 0.2039794772863388, 0.025548739358782768, 1.1120026801359906], [-1.6541303396224976, -1.898160457611084, 0.3227234482765198, 0.01702151633799076, 1.7969596897315867], [-1.4612840414047241, -1.1711866855621338, 0.4812791049480438, 0.05817915499210358, 2.159874044377892], [-1.0457868576049805, 1.2947330474853516, 0.44938141107559204, 0.009451523423194885, 0.8893285575700086], [-2.283306121826172, 1.518304705619812, 0.4721873700618744, 0.007294466253370047, 2.0108069978910965]]

posa = BoardTrue(my_list5, -2, 0, 0.8, 331)
print(posa.chose_board())

"""
[00:15:08.34] 前往pose_3
{u'spontoon': 284.0}
targetspontoon
first_1{u'spontoon': 284.0}
boards[[-2.20574951171875, -1.9964897632598877, 0.19374234974384308, 0.0202349741011858, 1.0713866771931375], [-1.6379033327102661, -1.9009284973144531, 0.34384506940841675, 0.010412354953587055, 1.8343551319682068], [-1.4544870853424072, -1.176705002784729, 0.4698032736778259, 0.053842246532440186, 2.147697938715995], [-1.02494215965271, 1.2817209959030151, 0.468691885471344, 0.005473896395415068, 0.8983430915438178], [-2.271810293197632, 1.5118887424468994, 0.46807199716567993, 0.00690682977437973, 2.0043066211443765]]
[-1.02494215965271, 1.2817209959030151, 0.468691885471344, 0.005473896395415068, 0.8983430915438178]
quat=[0, 0, 0.434, 0.901]
send the goal

"""