#!/usr/bin/env python ''' create ardupilot terrain database files ''' from MAVProxy.modules.mavproxy_map import srtm import math, struct, os, sys import crc16, time, struct # MAVLink sends 4x4 grids TERRAIN_GRID_MAVLINK_SIZE = 4 # a 2k grid_block on disk contains 8x7 of the mavlink grids. Each # grid block overlaps by one with its neighbour. This ensures that # the altitude at any point can be calculated from a single grid # block TERRAIN_GRID_BLOCK_MUL_X = 7 TERRAIN_GRID_BLOCK_MUL_Y = 8 # this is the spacing between 32x28 grid blocks, in grid_spacing units TERRAIN_GRID_BLOCK_SPACING_X = ((TERRAIN_GRID_BLOCK_MUL_X-1)*TERRAIN_GRID_MAVLINK_SIZE) TERRAIN_GRID_BLOCK_SPACING_Y = ((TERRAIN_GRID_BLOCK_MUL_Y-1)*TERRAIN_GRID_MAVLINK_SIZE) # giving a total grid size of a disk grid_block of 32x28 TERRAIN_GRID_BLOCK_SIZE_X = (TERRAIN_GRID_MAVLINK_SIZE*TERRAIN_GRID_BLOCK_MUL_X) TERRAIN_GRID_BLOCK_SIZE_Y = (TERRAIN_GRID_MAVLINK_SIZE*TERRAIN_GRID_BLOCK_MUL_Y) # format of grid on disk TERRAIN_GRID_FORMAT_VERSION = 1 IO_BLOCK_SIZE = 2048 GRID_SPACING = 100 def to_float32(f): '''emulate single precision float''' return struct.unpack('f', struct.pack('f',f))[0] LOCATION_SCALING_FACTOR = to_float32(0.011131884502145034) LOCATION_SCALING_FACTOR_INV = to_float32(89.83204953368922) def longitude_scale(lat): '''get longitude scale factor''' scale = to_float32(math.cos(to_float32(math.radians(lat)))) return max(scale, 0.01) def get_distance_NE_e7(lat1, lon1, lat2, lon2): '''get distance tuple between two positions in 1e7 format''' return ((lat2 - lat1) * LOCATION_SCALING_FACTOR, (lon2 - lon1) * LOCATION_SCALING_FACTOR * longitude_scale(lat1*1.0e-7)) def add_offset(lat_e7, lon_e7, ofs_north, ofs_east): '''add offset in meters to a position''' dlat = int(float(ofs_north) * LOCATION_SCALING_FACTOR_INV) dlng = int((float(ofs_east) * LOCATION_SCALING_FACTOR_INV) / longitude_scale(lat_e7*1.0e-7)) return (int(lat_e7+dlat), int(lon_e7+dlng)) def east_blocks(lat_e7, lon_e7): '''work out how many blocks per stride on disk''' lat2_e7 = lat_e7 lon2_e7 = lon_e7 + 10*1000*1000 # shift another two blocks east to ensure room is available lat2_e7, lon2_e7 = add_offset(lat2_e7, lon2_e7, 0, 2*GRID_SPACING*TERRAIN_GRID_BLOCK_SIZE_Y) offset = get_distance_NE_e7(lat_e7, lon_e7, lat2_e7, lon2_e7) return int(offset[1] / (GRID_SPACING*TERRAIN_GRID_BLOCK_SPACING_Y)) def pos_from_file_offset(lat_degrees, lon_degrees, file_offset): '''return a lat/lon in 1e7 format given a file offset''' ref_lat = int(lat_degrees*10*1000*1000) ref_lon = int(lon_degrees*10*1000*1000) stride = east_blocks(ref_lat, ref_lon) blocks = file_offset // IO_BLOCK_SIZE grid_idx_x = blocks // stride grid_idx_y = blocks % stride idx_x = grid_idx_x * TERRAIN_GRID_BLOCK_SPACING_X idx_y = grid_idx_y * TERRAIN_GRID_BLOCK_SPACING_Y offset = (idx_x * GRID_SPACING, idx_y * GRID_SPACING) (lat_e7, lon_e7) = add_offset(ref_lat, ref_lon, offset[0], offset[1]) offset = get_distance_NE_e7(ref_lat, ref_lon, lat_e7, lon_e7) grid_idx_x = int(idx_x / TERRAIN_GRID_BLOCK_SPACING_X) grid_idx_y = int(idx_y / TERRAIN_GRID_BLOCK_SPACING_Y) (lat_e7, lon_e7) = add_offset(ref_lat, ref_lon, grid_idx_x * TERRAIN_GRID_BLOCK_SPACING_X * float(GRID_SPACING), grid_idx_y * TERRAIN_GRID_BLOCK_SPACING_Y * float(GRID_SPACING)) return (lat_e7, lon_e7) class GridBlock(object): def __init__(self, lat_int, lon_int, lat, lon): ''' a grid block is a structure in a local file containing height information. Each grid block is 2048 bytes in size, to keep file IO to block oriented SD cards efficient ''' # crc of whole block, taken with crc=0 self.crc = 0 # format version number self.version = TERRAIN_GRID_FORMAT_VERSION # grid spacing in meters self.spacing = GRID_SPACING # heights in meters over a 32*28 grid self.height = [] for x in range(TERRAIN_GRID_BLOCK_SIZE_X): self.height.append([0]*TERRAIN_GRID_BLOCK_SIZE_Y) # bitmap of 4x4 grids filled in from GCS (56 bits are used) self.bitmap = (1<<56)-1 lat_e7 = int(lat * 1.0e7) lon_e7 = int(lon * 1.0e7) # grids start on integer degrees. This makes storing terrain data on # the SD card a bit easier. Note that this relies on the python floor # behaviour with integer division self.lat_degrees = lat_int self.lon_degrees = lon_int # create reference position for this rounded degree position ref_lat = self.lat_degrees*10*1000*1000 ref_lon = self.lon_degrees*10*1000*1000 # find offset from reference offset = get_distance_NE_e7(ref_lat, ref_lon, lat_e7, lon_e7) offset = (round(offset[0]), round(offset[1])) # get indices in terms of grid_spacing elements idx_x = int(offset[0] / GRID_SPACING) idx_y = int(offset[1] / GRID_SPACING) # find indexes into 32*28 grids for this degree reference. Note # the use of TERRAIN_GRID_BLOCK_SPACING_{X,Y} which gives a one square # overlap between grids self.grid_idx_x = idx_x // TERRAIN_GRID_BLOCK_SPACING_X self.grid_idx_y = idx_y // TERRAIN_GRID_BLOCK_SPACING_Y # calculate lat/lon of SW corner of 32*28 grid_block (ref_lat, ref_lon) = add_offset(ref_lat, ref_lon, self.grid_idx_x * TERRAIN_GRID_BLOCK_SPACING_X * float(GRID_SPACING), self.grid_idx_y * TERRAIN_GRID_BLOCK_SPACING_Y * float(GRID_SPACING)) self.lat = ref_lat self.lon = ref_lon def fill(self, gx, gy, altitude): '''fill a square''' self.height[gx][gy] = int(altitude) def blocknum(self): '''find IO block number''' stride = east_blocks(self.lat_degrees*1e7, self.lon_degrees*1e7) return stride * self.grid_idx_x + self.grid_idx_y class DataFile(object): def __init__(self, lat, lon): if lat < 0: NS = 'S' else: NS = 'N' if lon < 0: EW = 'W' else: EW = 'E' name = "terrain/%c%02u%c%03u.DAT" % (NS, min(abs(int(lat)), 99), EW, min(abs(int(lon)), 999)) try: os.mkdir("terrain") except Exception: pass if not os.path.exists(name): self.fh = open(name, 'w+b') else: self.fh = open(name, 'r+b') def seek_offset(self, block): '''seek to right offset''' # work out how many longitude blocks there are at this latitude file_offset = block.blocknum() * IO_BLOCK_SIZE self.fh.seek(file_offset) def pack(self, block): '''pack into a block''' buf = bytes() buf += struct.pack("2 or abs(lon - block.lon)>2 or spacing != GRID_SPACING or bitmap != (1<<56)-1): return False buf = buf[:16] + struct.pack("