BVH Tree up to date

CityDoctorParent/CityDoctorValidation/src/main/java/de/hft/stuttgart/citydoctor2/checks/geometry/RingSelfIntCheck.java

@@ -63,6 +63,7 @@ import de.hft.stuttgart.citydoctor2.parser.ParserConfiguration;
 /**
  * Variants:
  * - OLD: only BoundingBox replaced by AABB, logic otherwise unchanged
+ *   (the most efficient for little models) 
  * - TREE_1_EDGE_BVH: edge-edge broad phase via BVH
  * - TREE_2_EDGE_AND_VERTEX_BVH: edge-edge via edge BVH, point-edge via vertex BVH
  * 
@@ -124,16 +125,16 @@ public class RingSelfIntCheck extends Check {
 	public void check(LinearRing lr) {
 		switch (variant) {
 		case OLD:
-			checkRingJavaOld(lr);
+			checkRingOld(lr);
 			break;
 		case TREE_1_EDGE_BVH:
-			checkRingJavaTree1(lr);
+			checkRingTree1(lr);
 			break;
 		case TREE_2_EDGE_AND_VERTEX_BVH:
-			checkRingJavaTree2(lr);
+			checkRingTree2(lr);
 			break;
 		default:
-			checkRingJavaOld(lr);
+			checkRingOld(lr);
 			break;
 		}
 	}
@@ -142,7 +143,7 @@ public class RingSelfIntCheck extends Check {
 	 * OLD:
 	 * only BoundingBox -> AABB replaced, otherwise logic unchanged.
 	 */
-	private void checkRingJavaOld(LinearRing lr) {
+	private void checkRingOld(LinearRing lr) {
 		List<Vertex> vertices = lr.getVertices();
 		Vector3d centroid = CovarianceMatrix.getCentroid(vertices);
 		EigenvalueDecomposition ed = OrthogonalRegressionPlane.decompose(vertices, centroid);
@@ -187,7 +188,7 @@ public class RingSelfIntCheck extends Check {
 	 * - point-edge remains old
 	 * - edge-edge uses Edge-BVH
 	 */
-	private void checkRingJavaTree1(LinearRing lr) {
+	private void checkRingTree1(LinearRing lr) {
 		List<Vertex> vertices = lr.getVertices();
 		Vector3d centroid = CovarianceMatrix.getCentroid(vertices);
 		EigenvalueDecomposition ed = OrthogonalRegressionPlane.decompose(vertices, centroid);
@@ -253,7 +254,7 @@ public class RingSelfIntCheck extends Check {
 	 * - point-edge uses Vertex-BVH
 	 * - edge-edge uses Edge-BVH
 	 */
-	private void checkRingJavaTree2(LinearRing lr) {
+	private void checkRingTree2(LinearRing lr) {
 		List<Vertex> vertices = lr.getVertices();
 		Vector3d centroid = CovarianceMatrix.getCentroid(vertices);
 		EigenvalueDecomposition ed = OrthogonalRegressionPlane.decompose(vertices, centroid);