实际上，这要简单得多。你只需要两样东西。

首先，你需要找出从圆中心到矩形每条直线的四个正交距离。如果任意三个圆的半径大于矩形的半径，那么圆就不会与矩形相交。

其次，你需要找到圆中心和矩形中心之间的距离，那么你的圆不会在矩形内部如果距离大于矩形对角线长度的一半。

好运！

如果你对一个更图形化的解决方案感兴趣，甚至在(平面上)旋转的矩形..

演示:https://jsfiddle.net/exodus4d/94mxLvqh/2691/

这个想法是:

将场景转换为原点[0,0] 如果矩形不在平面上，则旋转中心应在 (0,0) 将场景旋转回平面 计算交点

const hasIntersection = ({x: cx, y: cy, r: cr}, {x, y, width, height}) => { const distX = Math.abs(cx - x - width / 2); const distY = Math.abs(cy - y - height / 2); if (distX > (width / 2 + cr)) { return false; } if (distY > (height / 2 + cr)) { return false; } if (distX <= (width / 2)) { return true; } if (distY <= (height / 2)) { return true; } const Δx = distX - width / 2; const Δy = distY - height / 2; return Δx * Δx + Δy * Δy <= cr * cr; }; const rect = new DOMRect(50, 20, 100, 50); const circ1 = new DOMPoint(160, 80); circ1.r = 20; const circ2 = new DOMPoint(80, 95); circ2.r = 20; const canvas = document.getElementById('canvas'); const ctx = canvas.getContext('2d'); ctx.strokeRect(rect.x, rect.y, rect.width, rect.height); ctx.beginPath(); ctx.strokeStyle = hasIntersection(circ1, rect) ? 'red' : 'green'; ctx.arc(circ1.x, circ1.y, circ1.r, 0, 2 * Math.PI); ctx.stroke(); ctx.beginPath(); ctx.strokeStyle = hasIntersection(circ2, rect) ? 'red' : 'green'; ctx.arc(circ2.x, circ2.y, circ2.r, 0, 2 * Math.PI); ctx.stroke(); <canvas id="canvas"></canvas>

提示:而不是旋转矩形(4点)。你可以向相反的方向旋转圆(1点)。

有效，一周前才发现，现在才开始测试。

double theta = Math.atan2(cir.getX()-sqr.getX()*1.0,
                          cir.getY()-sqr.getY()*1.0); //radians of the angle
double dBox; //distance from box to edge of box in direction of the circle

if((theta >  Math.PI/4 && theta <  3*Math.PI / 4) ||
   (theta < -Math.PI/4 && theta > -3*Math.PI / 4)) {
    dBox = sqr.getS() / (2*Math.sin(theta));
} else {
    dBox = sqr.getS() / (2*Math.cos(theta));
}
boolean touching = (Math.abs(dBox) >=
                    Math.sqrt(Math.pow(sqr.getX()-cir.getX(), 2) +
                              Math.pow(sqr.getY()-cir.getY(), 2)));

我的方法:

从OBB /矩形上/中的圆计算closest_point (最近点将位于边缘/角落或内部) 计算从closest_point到圆心的squared_distance (距离的平方避免了平方根) 返回squared_distance <=圆半径的平方

我在制作这款游戏时开发了这个算法:https://mshwf.github.io/mates/

如果圆与正方形接触，那么圆的中心线与正方形中心线之间的距离应该等于(直径+边)/2。 让我们有一个名为touching的变量来保存这个距离。问题是:我应该考虑哪条中心线:水平的还是垂直的? 考虑这个框架:

每条中心线给出了不同的距离，只有一条是没有碰撞的正确指示，但利用人类的直觉是理解自然算法如何工作的开始。

They are not touching, which means that the distance between the two centerlines should be greater than touching, which means that the natural algorithm picks the horizontal centerlines (the vertical centerlines says there's a collision!). By noticing multiple circles, you can tell: if the circle intersects with the vertical extension of the square, then we pick the vertical distance (between the horizontal centerlines), and if the circle intersects with the horizontal extension, we pick the horizontal distance:

另一个例子，圆4:它与正方形的水平延伸相交，那么我们考虑水平距离等于接触。

Ok, the tough part is demystified, now we know how the algorithm will work, but how we know with which extension the circle intersects? It's easy actually: we calculate the distance between the most right x and the most left x (of both the circle and the square), and the same for the y-axis, the one with greater value is the axis with the extension that intersects with the circle (if it's greater than diameter+side then the circle is outside the two square extensions, like circle #7). The code looks like:

right = Math.max(square.x+square.side, circle.x+circle.rad);
left = Math.min(square.x, circle.x-circle.rad);

bottom = Math.max(square.y+square.side, circle.y+circle.rad);
top = Math.min(square.y, circle.y-circle.rad);

if (right - left > down - top) {
 //compare with horizontal distance
}
else {
 //compare with vertical distance
}

/*These equations assume that the reference point of the square is at its top left corner, and the reference point of the circle is at its center*/

我有一个方法可以避免昂贵的毕达哥拉斯，如果没有必要的话。当矩形和圆的包围框不相交时。

对非欧几里得也适用

class Circle {
 // create the bounding box of the circle only once
 BBox bbox;

 public boolean intersect(BBox b) {
    // test top intersect
    if (lat > b.maxLat) {
        if (lon < b.minLon)
            return normDist(b.maxLat, b.minLon) <= normedDist;
        if (lon > b.maxLon)
            return normDist(b.maxLat, b.maxLon) <= normedDist;
        return b.maxLat - bbox.minLat > 0;
    }

    // test bottom intersect
    if (lat < b.minLat) {
        if (lon < b.minLon)
            return normDist(b.minLat, b.minLon) <= normedDist;
        if (lon > b.maxLon)
            return normDist(b.minLat, b.maxLon) <= normedDist;
        return bbox.maxLat - b.minLat > 0;
    }

    // test middle intersect
    if (lon < b.minLon)
        return bbox.maxLon - b.minLon > 0;
    if (lon > b.maxLon)
        return b.maxLon - bbox.minLon > 0;
    return true;
  }
}

minLat、maxLat可替换为minY、maxY, minLon、maxLon也可替换为minX、maxX normDist方法比全距离计算快一点。例如，在欧几里得空间中没有平方根(或者没有很多其他的haversine): dat =(lat-circleY);dLon = (lon-circleX);赋范= dLat * dLat + dLon * dLon。当然，如果你使用normDist方法你需要创建一个normedDist = dist*dist;对于圆来说

查看我的GraphHopper项目的完整的BBox和Circle代码。