private void ParseClustersPacket(BinaryReader br)
        {
            ClusterMsg msg = new ClusterMsg ();

              // read the header

              byte packetType = br.ReadByte();
              if (packetType != CLUSTER_PACKET_TYPE)
              {
            Debug.WriteLine("ERROR: cluster parser got packet starting with " + packetType.ToString());
            return;
              }

              UInt16 packetNum = br.ReadUInt16();
              UInt16 tsSeconds = br.ReadUInt16();
              UInt32 tsTicks = br.ReadUInt32();

              UInt16 numPts = br.ReadUInt16();
              UInt16 numClusters = br.ReadUInt16();

            msg.timestamp = (double)tsSeconds + (double)tsTicks / 10000.0;
              // now for the red meat..

              v3f[] pts = new v3f[numPts];
              for (int i = 0; i < numPts; i++)
              {
            pts[i].x = (float)(br.ReadInt16())/100.0f;
            pts[i].y = (float)(br.ReadInt16())/100.0f;
            pts[i].z = (float)(br.ReadInt16())/100.0f;
              }

              msg.clusters = new List<LidarCluster>();

              for (int i = 0; i < numClusters; i++)
              {
            LidarCluster lc = new LidarCluster();
            UInt16 firstPtIndex, lastPtIndex;
            byte flags;

            firstPtIndex = br.ReadUInt16();
            lastPtIndex = br.ReadUInt16();
            flags = br.ReadByte();

            lc.pts = new v3f[lastPtIndex - firstPtIndex + 1];
            lc.stable = (flags & 0x01)==0;
            lc.leftOccluded = (flags & 0x02)!=0;
            lc.rightOccluded = (flags & 0x04)!=0;
            lc.highObstacle = (flags & 0x08)!=0;

            lc.bb_low.x = lc.bb_high.x = pts[firstPtIndex].x;
            lc.bb_low.y = lc.bb_high.y = pts[firstPtIndex].y;
            lc.bb_low.z = lc.bb_high.z = pts[firstPtIndex].z;

            for (int j = firstPtIndex; j <= lastPtIndex; j++)
            {
              lc.pts[j - firstPtIndex] = pts[j];
              lc.bb_low.x = Math.Min(lc.bb_low.x, pts[j].x);
              lc.bb_low.y = Math.Min(lc.bb_low.y, pts[j].y);
              lc.bb_low.z = Math.Min(lc.bb_low.z, pts[j].z);
              lc.bb_high.x = Math.Max(lc.bb_high.x, pts[j].x);
              lc.bb_high.y = Math.Max(lc.bb_high.y, pts[j].y);
              lc.bb_high.z = Math.Max(lc.bb_high.z, pts[j].z);
            }

            msg.clusters.Add(lc);
              }

            if (ClustersReceived != null) ClustersReceived(this, new ClusterRXEventArgs(msg));
        }
示例#2
0
 public ClusterRXEventArgs(ClusterMsg c)
 {
     this.c = c;
 }
 public ClusterRXEventArgs(ClusterMsg c)
 {
     this.c = c;
 }
示例#4
0
        private void ParseClustersPacket(BinaryReader br)
        {
            ClusterMsg msg = new ClusterMsg();

            // read the header

            byte packetType = br.ReadByte();

            if (packetType != CLUSTER_PACKET_TYPE)
            {
                Debug.WriteLine("ERROR: cluster parser got packet starting with " + packetType.ToString());
                return;
            }

            UInt16 packetNum = br.ReadUInt16();
            UInt16 tsSeconds = br.ReadUInt16();
            UInt32 tsTicks   = br.ReadUInt32();

            UInt16 numPts      = br.ReadUInt16();
            UInt16 numClusters = br.ReadUInt16();

            msg.timestamp = (double)tsSeconds + (double)tsTicks / 10000.0;
            // now for the red meat..

            v3f[] pts = new v3f[numPts];
            for (int i = 0; i < numPts; i++)
            {
                pts[i].x = (float)(br.ReadInt16()) / 100.0f;
                pts[i].y = (float)(br.ReadInt16()) / 100.0f;
                pts[i].z = (float)(br.ReadInt16()) / 100.0f;
            }

            msg.clusters = new List <LidarCluster>();

            for (int i = 0; i < numClusters; i++)
            {
                LidarCluster lc = new LidarCluster();
                UInt16       firstPtIndex, lastPtIndex;
                byte         flags;

                firstPtIndex = br.ReadUInt16();
                lastPtIndex  = br.ReadUInt16();
                flags        = br.ReadByte();

                lc.pts           = new v3f[lastPtIndex - firstPtIndex + 1];
                lc.stable        = (flags & 0x01) == 0;
                lc.leftOccluded  = (flags & 0x02) != 0;
                lc.rightOccluded = (flags & 0x04) != 0;
                lc.highObstacle  = (flags & 0x08) != 0;

                lc.bb_low.x = lc.bb_high.x = pts[firstPtIndex].x;
                lc.bb_low.y = lc.bb_high.y = pts[firstPtIndex].y;
                lc.bb_low.z = lc.bb_high.z = pts[firstPtIndex].z;

                for (int j = firstPtIndex; j <= lastPtIndex; j++)
                {
                    lc.pts[j - firstPtIndex] = pts[j];
                    lc.bb_low.x  = Math.Min(lc.bb_low.x, pts[j].x);
                    lc.bb_low.y  = Math.Min(lc.bb_low.y, pts[j].y);
                    lc.bb_low.z  = Math.Min(lc.bb_low.z, pts[j].z);
                    lc.bb_high.x = Math.Max(lc.bb_high.x, pts[j].x);
                    lc.bb_high.y = Math.Max(lc.bb_high.y, pts[j].y);
                    lc.bb_high.z = Math.Max(lc.bb_high.z, pts[j].z);
                }

                msg.clusters.Add(lc);
            }

            if (ClustersReceived != null)
            {
                ClustersReceived(this, new ClusterRXEventArgs(msg));
            }
        }