我有一条从a到B的直线和一个半径为R的圆。
用什么算法来检查直线是否与圆相交?它在圆边的哪个坐标上?
我有一条从a到B的直线和一个半径为R的圆。
用什么算法来检查直线是否与圆相交?它在圆边的哪个坐标上?
当前回答
另一种解决方案,首先考虑不关心碰撞位置的情况。请注意,这个特定的函数是在假设xB和yB为向量输入的情况下构建的,但如果情况并非如此,则可以轻松修改。变量名在函数的开头定义
#Line segment points (A0, Af) defined by xA0, yA0, xAf, yAf; circle center denoted by xB, yB; rB=radius of circle, rA = radius of point (set to zero for your application)
def staticCollision_f(xA0, yA0, xAf, yAf, rA, xB, yB, rB): #note potential speed up here by casting all variables to same type and/or using Cython
#Build equations of a line for linear agents (convert y = mx + b to ax + by + c = 0 means that a = -m, b = 1, c = -b
m_v = (yAf - yA0) / (xAf - xA0)
b_v = yAf - m_v * xAf
rEff = rA + rB #radii are added since we are considering the agent path as a thin line
#Check if points (circles) are within line segment (find center of line segment and check if circle is within radius of this point)
segmentMask = np.sqrt( (yB - (yA0+yAf)/2)**2 + (xB - (xA0+xAf)/2)**2 ) < np.sqrt( (yAf - yA0)**2 + (xAf - xA0)**2 ) / 2 + rEff
#Calculate perpendicular distance between line and a point
dist_v = np.abs(-m_v * xB + yB - b_v) / np.sqrt(m_v**2 + 1)
collisionMask = (dist_v < rEff) & segmentMask
#return True if collision is detected
return collisionMask, collisionMask.any()
如果您需要碰撞的位置,您可以使用这个站点上详细介绍的方法,并将其中一个代理的速度设置为零。这种方法也适用于矢量输入:http://twobitcoder.blogspot.com/2010/04/circle-collision-detection.html
其他回答
我发现这个解决方案似乎比其他一些解决方案更容易遵循。
采取:
p1 and p2 as the points for the line, and
c as the center point for the circle and r for the radius
我可以用斜截式来解直线方程。但是,我不想处理以c为点的复杂方程,所以我只是平移了坐标系使圆在(0,0)处
p3 = p1 - c
p4 = p2 - c
顺便说一下,当我相互减分的时候,我是在减去x再减去y,然后把它们放到一个新的点里,以防有人不知道。
不管怎样,我现在解出p3和p4的直线方程
m = (p4_y - p3_y) / (p4_x - p3) (the underscore is an attempt at subscript)
y = mx + b
y - mx = b (just put in a point for x and y, and insert the m we found)
好的。现在我需要让这两个方程相等。首先我需要解圆的x方程
x^2 + y^2 = r^2
y^2 = r^2 - x^2
y = sqrt(r^2 - x^2)
然后我让它们相等:
mx + b = sqrt(r^2 - x^2)
求二次方程(0 = ax^2 + bx + c)
(mx + b)^2 = r^2 - x^2
(mx)^2 + 2mbx + b^2 = r^2 - x^2
0 = m^2 * x^2 + x^2 + 2mbx + b^2 - r^2
0 = (m^2 + 1) * x^2 + 2mbx + b^2 - r^2
现在我有了a b c。
a = m^2 + 1
b = 2mb
c = b^2 - r^2
我把这个代入二次公式
(-b ± sqrt(b^2 - 4ac)) / 2a
用值代入,然后尽可能简化:
(-2mb ± sqrt(b^2 - 4ac)) / 2a
(-2mb ± sqrt((-2mb)^2 - 4(m^2 + 1)(b^2 - r^2))) / 2(m^2 + 1)
(-2mb ± sqrt(4m^2 * b^2 - 4(m^2 * b^2 - m^2 * r^2 + b^2 - r^2))) / 2m^2 + 2
(-2mb ± sqrt(4 * (m^2 * b^2 - (m^2 * b^2 - m^2 * r^2 + b^2 - r^2))))/ 2m^2 + 2
(-2mb ± sqrt(4 * (m^2 * b^2 - m^2 * b^2 + m^2 * r^2 - b^2 + r^2)))/ 2m^2 + 2
(-2mb ± sqrt(4 * (m^2 * r^2 - b^2 + r^2)))/ 2m^2 + 2
(-2mb ± sqrt(4) * sqrt(m^2 * r^2 - b^2 + r^2))/ 2m^2 + 2
(-2mb ± 2 * sqrt(m^2 * r^2 - b^2 + r^2))/ 2m^2 + 2
(-2mb ± 2 * sqrt(m^2 * r^2 + r^2 - b^2))/ 2m^2 + 2
(-2mb ± 2 * sqrt(r^2 * (m^2 + 1) - b^2))/ 2m^2 + 2
这几乎是化简的极限了。最后,分离出带有±的方程:
(-2mb + 2 * sqrt(r^2 * (m^2 + 1) - b^2))/ 2m^2 + 2 or
(-2mb - 2 * sqrt(r^2 * (m^2 + 1) - b^2))/ 2m^2 + 2
然后简单地将这两个方程的结果代入mx + b中的x。为了清晰起见,我写了一些JavaScript代码来演示如何使用这个:
function interceptOnCircle(p1,p2,c,r){
//p1 is the first line point
//p2 is the second line point
//c is the circle's center
//r is the circle's radius
var p3 = {x:p1.x - c.x, y:p1.y - c.y} //shifted line points
var p4 = {x:p2.x - c.x, y:p2.y - c.y}
var m = (p4.y - p3.y) / (p4.x - p3.x); //slope of the line
var b = p3.y - m * p3.x; //y-intercept of line
var underRadical = Math.pow((Math.pow(r,2)*(Math.pow(m,2)+1)),2)-Math.pow(b,2)); //the value under the square root sign
if (underRadical < 0){
//line completely missed
return false;
} else {
var t1 = (-2*m*b+2*Math.sqrt(underRadical))/(2 * Math.pow(m,2) + 2); //one of the intercept x's
var t2 = (-2*m*b-2*Math.sqrt(underRadical))/(2 * Math.pow(m,2) + 2); //other intercept's x
var i1 = {x:t1,y:m*t1+b} //intercept point 1
var i2 = {x:t2,y:m*t2+b} //intercept point 2
return [i1,i2];
}
}
我希望这能有所帮助!
附注:如果任何人发现任何错误或有任何建议,请评论。我是新手,欢迎大家的帮助/建议。
另一种解决方案,首先考虑不关心碰撞位置的情况。请注意,这个特定的函数是在假设xB和yB为向量输入的情况下构建的,但如果情况并非如此,则可以轻松修改。变量名在函数的开头定义
#Line segment points (A0, Af) defined by xA0, yA0, xAf, yAf; circle center denoted by xB, yB; rB=radius of circle, rA = radius of point (set to zero for your application)
def staticCollision_f(xA0, yA0, xAf, yAf, rA, xB, yB, rB): #note potential speed up here by casting all variables to same type and/or using Cython
#Build equations of a line for linear agents (convert y = mx + b to ax + by + c = 0 means that a = -m, b = 1, c = -b
m_v = (yAf - yA0) / (xAf - xA0)
b_v = yAf - m_v * xAf
rEff = rA + rB #radii are added since we are considering the agent path as a thin line
#Check if points (circles) are within line segment (find center of line segment and check if circle is within radius of this point)
segmentMask = np.sqrt( (yB - (yA0+yAf)/2)**2 + (xB - (xA0+xAf)/2)**2 ) < np.sqrt( (yAf - yA0)**2 + (xAf - xA0)**2 ) / 2 + rEff
#Calculate perpendicular distance between line and a point
dist_v = np.abs(-m_v * xB + yB - b_v) / np.sqrt(m_v**2 + 1)
collisionMask = (dist_v < rEff) & segmentMask
#return True if collision is detected
return collisionMask, collisionMask.any()
如果您需要碰撞的位置,您可以使用这个站点上详细介绍的方法,并将其中一个代理的速度设置为零。这种方法也适用于矢量输入:http://twobitcoder.blogspot.com/2010/04/circle-collision-detection.html
以下是我在TypeScript中的解决方案,遵循@Mizipzor建议的想法(使用投影):
/**
* Determines whether a line segment defined by a start and end point intersects with a sphere defined by a center point and a radius
* @param a the start point of the line segment
* @param b the end point of the line segment
* @param c the center point of the sphere
* @param r the radius of the sphere
*/
export function lineSphereIntersects(
a: IPoint,
b: IPoint,
c: IPoint,
r: number
): boolean {
// find the three sides of the triangle formed by the three points
const ab: number = distance(a, b);
const ac: number = distance(a, c);
const bc: number = distance(b, c);
// check to see if either ends of the line segment are inside of the sphere
if (ac < r || bc < r) {
return true;
}
// find the angle between the line segment and the center of the sphere
const numerator: number = Math.pow(ac, 2) + Math.pow(ab, 2) - Math.pow(bc, 2);
const denominator: number = 2 * ac * ab;
const cab: number = Math.acos(numerator / denominator);
// find the distance from the center of the sphere and the line segment
const cd: number = Math.sin(cab) * ac;
// if the radius is at least as long as the distance between the center and the line
if (r >= cd) {
// find the distance between the line start and the point on the line closest to
// the center of the sphere
const ad: number = Math.cos(cab) * ac;
// intersection occurs when the point on the line closest to the sphere center is
// no further away than the end of the line
return ad <= ab;
}
return false;
}
export function distance(a: IPoint, b: IPoint): number {
return Math.sqrt(
Math.pow(b.z - a.z, 2) + Math.pow(b.y - a.y, 2) + Math.pow(b.x - a.x, 2)
);
}
export interface IPoint {
x: number;
y: number;
z: number;
}
只是这个线程的一个补充… 下面是pahlevan发布的代码版本,但针对c# /XNA,并做了一些整理:
/// <summary>
/// Intersects a line and a circle.
/// </summary>
/// <param name="location">the location of the circle</param>
/// <param name="radius">the radius of the circle</param>
/// <param name="lineFrom">the starting point of the line</param>
/// <param name="lineTo">the ending point of the line</param>
/// <returns>true if the line and circle intersect each other</returns>
public static bool IntersectLineCircle(Vector2 location, float radius, Vector2 lineFrom, Vector2 lineTo)
{
float ab2, acab, h2;
Vector2 ac = location - lineFrom;
Vector2 ab = lineTo - lineFrom;
Vector2.Dot(ref ab, ref ab, out ab2);
Vector2.Dot(ref ac, ref ab, out acab);
float t = acab / ab2;
if (t < 0)
t = 0;
else if (t > 1)
t = 1;
Vector2 h = ((ab * t) + lineFrom) - location;
Vector2.Dot(ref h, ref h, out h2);
return (h2 <= (radius * radius));
}
' VB.NET - Code
Function CheckLineSegmentCircleIntersection(x1 As Double, y1 As Double, x2 As Double, y2 As Double, xc As Double, yc As Double, r As Double) As Boolean
Static xd As Double = 0.0F
Static yd As Double = 0.0F
Static t As Double = 0.0F
Static d As Double = 0.0F
Static dx_2_1 As Double = 0.0F
Static dy_2_1 As Double = 0.0F
dx_2_1 = x2 - x1
dy_2_1 = y2 - y1
t = ((yc - y1) * dy_2_1 + (xc - x1) * dx_2_1) / (dy_2_1 * dy_2_1 + dx_2_1 * dx_2_1)
If 0 <= t And t <= 1 Then
xd = x1 + t * dx_2_1
yd = y1 + t * dy_2_1
d = Math.Sqrt((xd - xc) * (xd - xc) + (yd - yc) * (yd - yc))
Return d <= r
Else
d = Math.Sqrt((xc - x1) * (xc - x1) + (yc - y1) * (yc - y1))
If d <= r Then
Return True
Else
d = Math.Sqrt((xc - x2) * (xc - x2) + (yc - y2) * (yc - y2))
If d <= r Then
Return True
Else
Return False
End If
End If
End If
End Function