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@ -13,7 +13,7 @@ a = []
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# import test5
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k = 0 # 前视距离系数
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Lfc =3# 前视距离
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Lfc =2# 前视距离
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Kp = 1.0 # 速度P控制器系数
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dt = 0.1 # 时间间隔,单位:s
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L = 2.7 # 车辆轴距,单位:m
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@ -126,10 +126,10 @@ def pure_pursuit_control(state, cx, cy, pind):
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# return result
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TX_TY = [x for i, x in enumerate(T[0]) if i == 0 or x != T[0][i - 1]]
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# print('txty',TX_TY)
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if len(TX_TY)>16:
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if len(TX_TY)>15:
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A=TX_TY[-1]
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B=TX_TY[-4]
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C=TX_TY[-8]
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B=TX_TY[-15]
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C=TX_TY[-7]
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calculate_curvature(A,B,C)
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if curvature>0:
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@ -149,21 +149,29 @@ def pure_pursuit_control(state, cx, cy, pind):
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# Lfc=0.05
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print('cur', curvature)
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# # print('lfc', Lfc)
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# if 0.1<=curvature< 0.18:
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# Lfc = 0.2
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# if 0.1<=curvature< 0.15:
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# Lfc = 0.3
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# # print('cur', curvature)
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# # print('lfc', Lfc)
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#
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# if 0.15 <= curvature < 0.2:
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# Lfc = 0.05
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# else:
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# Lfc = 1.5
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# # print('cur', curvature)
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# # print('lfc', Lfc)
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# print('A',A)
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# Lfc =0.8
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# print('cur', curvature)
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# print('lfc', Lfc)
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#
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if len(TX_TY)>20:
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Lfc=Lfc*curvature*0.5
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if Lfc==0:
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Lfc=2
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# Lfc=round(Lfc)
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if curvature<0.05:
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Lfc=0.4558
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if Lfc==0:
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Lfc=1
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if np.isnan(Lfc):
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Lfc = 1
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print('a is NaN')
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print('lcf',Lfc)
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alpta_1=math.atan2(ty - state.y, tx - state.x)
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@ -175,7 +183,7 @@ def pure_pursuit_control(state, cx, cy, pind):
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delta = math.atan2(2.0 * L * math.sin(alpha) / Lfc, 1.0)
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# print('delta',delta)
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#
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if delta > np.pi / 6.0:
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delta = np.pi / 6.0
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# print('delta1', delta)
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@ -188,8 +196,8 @@ def pure_pursuit_control(state, cx, cy, pind):
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angle = delta * 57.3
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#
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# fangxp = int((angle) *18)
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# # fxp=int(fangxp)
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fangxp = int((angle) *18)
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fxp=int(fangxp)
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# d=(fangxp-f)
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# print('d',d)
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# if d>4:
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@ -210,7 +218,7 @@ def pure_pursuit_control(state, cx, cy, pind):
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# ag.append(fangxp)
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# print('ag',ag)
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#
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# print('fxp',fangxp)
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print('fxp',fangxp)
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@ -328,18 +336,18 @@ def main():
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-28.984, -29.007, -29.039, -29.063, -29.097, -29.129, -29.158, -29.18, -29.206, -29.227, -29.251, -29.28,
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-29.304, -29.328, -29.346, -29.369, -29.384, -29.409, -29.426, -29.458, -29.479, -29.499]
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target_speed = 2 / 3.6 # [m/s]
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target_speed = 5/ 3.6 # [m/s]
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T = 500.0 # 最大模拟时间
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# 设置车辆的出事状态
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yaw=math.radians(450-(347+180-360))
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x_car = np.cos(yaw) * 2.3 + float(96)
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x_car = np.cos(yaw) * 2.3 + float(96.048)
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# print('x',x_car)
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# north = beidou[15] # 北向位置坐标:以基站为原点的地理坐标系下的北向位置,单位:米,小数点后 3 位
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y_car = -np.sin(yaw) * 2.3 + float(9.9)
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y_car = -np.sin(yaw) * 2.3 + float( 9.935)
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# print('yaw_1',yaw)
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state = VehicleState(x =x_car, y=y_car, yaw = float(yaw), v = 0)
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state = VehicleState(x =96, y=10, yaw = float(yaw), v = 0)
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# state = VehicleState(x=89, y=20, yaw=0.0, v=0.0)
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lastIndex = len(cx) - 1
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time = 0.0
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