机场跑道入侵检测(C++Qt)
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机场跑道入侵检测
实现原理:
1、读取并解析机场跑道、车道数据,显示和存储。
2、根据本机的经纬度坐标,确定本机所在跑道,并计算出一个多边形区域。
3、实时获取它机、车辆坐标数据,判断是否位于本机起飞跑道的多边形范围内。
4、如果它机、车辆坐标位于本机跑道,则预警。
通过面积法,判断点P是否在四边形(A,B,C,D)内。如果在四边形内,则四边形的面积=面积(P,A,B)+面积(P,B,C)+面积(P,C,D)+面积(P,D,A),反之不在四边形内。
如下图:
效果
视频地址:https://www.bilibili.com/video/BV1bK4y147R1/
关键代码(只提供思路和部分代码,并非完整代码。)
//judge quadrangle is contain point p
bool isInQuadrangle(QVector<QPointF> &pointfs, QPointF p);
//calculate triangle area
double getTriangleArea(QPointF p1, QPointF p2, QPointF p3);
//get Vertex of Quadrangle
void getQuadrangleVertex(QPointF m1, QPointF m2, float direction, double len, QVector<QPointF> &pointfs);
//polygon vertexes can be sorted clockwise
void clockwiseSort(QVector<QPointF> & vPoints);
bool PointCmp(const QPointF &a, const QPointF &b, const QPointF ¢er);
double getAngle(const QPointF &oldPos, const QPointF &newPos) const;
//跑道入侵检测
void runwayIncursionCheck(std::vector<OtherAircraftInfo> &aircraftInfo)
for (std::vector<OtherAircraftInfo>::iterator itr = aircraftInfo.begin(); itr != aircraftInfo.end(); itr++)
if (mCurrentRunWay.count() == 4)
if (mCalculate.isInQuadrangle(mCurrentRunWay, QPointF(itr->lon, itr->lat)))
itr->incursion = true;
qWarning() << "Runway Incursion: " << itr->ID;
else
itr->incursion = false;
计算本机所在的跑道
void whichRunWay(const AircraftInfo & aircraftInfo)
//foreach runWay
mCurrentRunWay.clear();
for (int runwayIndex = 0; runwayIndex < mRunWays.count() ; runwayIndex++)
QVector<QPointF> runWay(4);
double angle = mCalculate.getAngle(mRunWays[runwayIndex].at(0), mRunWays[runwayIndex].at(1)); //calculate runway angle
mCalculate.getQuadrangleVertex(mRunWays[runwayIndex].at(0), mRunWays[runwayIndex].at(1), angle , 60/1852.0, runWay);
if (mCalculate.isInQuadrangle(runWay, QPointF(aircraftInfo.lon, aircraftInfo.lat)))
mCurrentRunWay = runWay;
//通过一个已知坐标点、方位角、和距离,计算另一个点的经纬度坐标
void CalculatePositionByAngle(double & DestLat, double & DestLon, double orgLat, double orgLon, double distNM, double angle)
double rad_lati = ToRadian(orgLat);
double rad_longi = ToRadian(orgLon);
double Ec = PolarRadiusMeter + (EquatorRadiusMeter - PolarRadiusMeter)*(90.0 - orgLat) / 90.0;
double Ed = EquatorRadiusMeter * cos(rad_lati);
double difx = distNM * 1852.0 * cos(ToRadian(90 - angle));
double dify = distNM * 1852.0 * sin(ToRadian(90 - angle));
DestLat = ToAngle(1.0*dify / Ec + rad_lati);
DestLon = ToAngle(1.0*difx / Ed + rad_longi);
if (DestLon > 180)
DestLon = DestLon - 360;
if (DestLat > 180)
DestLat = DestLat - 360;
const qreal pi = 3.141592653589793238462643383;
//判断坐标点,是否在一个四边形区域内
bool isInQuadrangle(QVector<QPointF> &pointfs, QPointF p)
double dTriangle = getTriangleArea(pointfs.at(0), pointfs.at(1), p) + getTriangleArea(pointfs.at(1), pointfs.at(2), p) + getTriangleArea(pointfs.at(2), pointfs.at(3), p) + getTriangleArea(pointfs.at(3), pointfs.at(0), p);
double dQuadrangle = getTriangleArea(pointfs.at(0), pointfs.at(1), pointfs.at(2)) + getTriangleArea(pointfs.at(2), pointfs.at(3), pointfs.at(0));
if ((dTriangle >0) && (dQuadrangle > 0) && (qAbs(dTriangle - dQuadrangle) < 0.00001))
qDebug() << "isInQuadrangle: " << qAbs(dTriangle - dQuadrangle);
return true;
else
return false;
//return dTriangle == dQuadrangle;
//计算一个三角形的面积
double getTriangleArea(QPointF p1, QPointF p2, QPointF p3)
return qAbs((p1.x()*p2.y() + p2.x()*p3.y() + p3.x()*p1.y() - p2.x()*p1.y() - p3.x()*p2.y() - p1.x()*p3.y()) / 2.0);
//根据四边形两条对边的中线,方位、宽度,计算出四个顶点坐标
void getQuadrangleVertex(QPointF m1, QPointF m2, float direction, double len, QVector<QPointF> &pointfs)
float angle1 = 0.0;
float angle2 = 0.0;
angle1 = (direction + 90.0) > 360.0 ? direction + 90.0 - 360.0 : direction + 90.0;
angle2 = (direction + 270.0) > 360.0 ? direction + 270.0 - 360.0 : direction + 270.0;
Conversions cver;
cver.CalculatePositionByAngle(pointfs[0].ry(), pointfs[0].rx(), m1.y(), m1.x(), len / 2, angle1);
cver.CalculatePositionByAngle(pointfs[1].ry(), pointfs[1].rx(), m1.y(), m1.x(), len / 2, angle2);
cver.CalculatePositionByAngle(pointfs[2].ry(), pointfs[2].rx(), m2.y(), m2.x(), len / 2, angle1);
cver.CalculatePositionByAngle(pointfs[3].ry(), pointfs[3].rx(), m2.y(), m2.x(), len / 2, angle2);
clockwiseSort(pointfs);
//四边形四个顶点 按照顺时针排序
void clockwiseSort(QVector<QPointF>& vPoints)
//calculate centre point
QPointF center;
double x = 0, y = 0;
for (int i = 0; i < vPoints.size(); i++)
x += vPoints[i].x();
y += vPoints[i].y();
center.rx() = (int)x / vPoints.size();
center.ry() = (int)y / vPoints.size();
//sort point
for (int i = 0; i < vPoints.size(); i++)
for (int j = 0; j < vPoints.size() - i - 1; j++)
if (PointCmp(vPoints[j], vPoints[j + 1], center))
QPointF tmp = vPoints[j];
vPoints[j] = vPoints[j + 1];
vPoints[j + 1] = tmp;
bool PointCmp(const QPointF &a, const QPointF &b, const QPointF ¢er)
if (a.x() >= 0 && b.x() < 0)
return true;
/*if (a.x() == 0 && b.x() == 0)
return a.y() > b.y();*/
//向量OA和向量OB的叉积
int det = (a.x() - center.x()) * (b.y() - center.y()) - (b.x() - center.x()) * (a.y() - center.y());
if (det < 0)
return true;
if (det > 0)
return false;
//向量OA和向量OB共线,以距离判断大小
int d1 = (a.x() - center.x()) * (a.x() - center.x()) + (a.y() - center.y()) * (a.y() - center.y());
int d2 = (b.x() - center.x()) * (b.x() - center.y()) + (b.y() - center.y()) * (b.y() - center.y());
return d1 > d2;
//根据两个点,计算方位
double getAngle(const QPointF &oldPos, const QPointF &newPos) const
//根据两个点的经纬度,以一个点(old)为坐标中心,y轴正方向为正北方向(即为 0°),求出另一个点(new)关于正北方向的角度(0° ~ 360°)
double a = newPos.x() - oldPos.x(); //经度差
double b = newPos.y() - oldPos.y(); //纬度差
double c = hypot(fabs(a), fabs(b));
double cosy = 0.0;
double angle = 0;
if (a > 0 && b > 0) // 判断road点在user点的东北位置
cosy = b / c;
angle = 0;
else if ((a == 0) && (b > 0)) //在正北位置
angle = -90;
else if ((a > 0) && (b < 0)) // 判断road点在user点的东南位置
cosy = a / c;
angle = 90;
else if ((a > 0) && (b == 0)) //在正东位置
angle = 90;
else if ((a < 0) && (b < 0)) // 判断road点在user点的西南位置
cosy = fabs(b) / c;
angle = 180;
else if ((a == 0) && (b < 0)) //在正南位置
angle = 90;
else if ((a < 0) && (b > 0)) // 判断road点在user点的西北位置
cosy = fabs(a) / c;
angle = 270;
else if ((a < 0) && (b == 0)) //在正西位置
angle = 180;
double m = acos(cosy);
//n 即以正北为 0 的总角度
double n = (m / pi) * 180 + angle;
return n;
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