s.listen(5) # 接続待ち
c, addr = s.accept() # 接続要求の取り出し
c.settimeout(10)
bebop = Bebop(drone_type="Bebop2")
print("connecting to Bebop2")
success = bebop.connect(10)
print(success)
try:
if (success):
print("sleeping")
bebop.smart_sleep(2)
bebop.ask_for_state_update()
# set safe indoor parameters
bebop.set_max_tilt(5)
bebop.set_max_vertical_speed(1)
# trying out the new hull protector parameters - set to 1 for a hull protection and 0 without protection
bebop.set_hull_protection(1)
while True:
print("receiving")
ch = c.recv(4096).decode()
if ch == "t":
print("take off")
bebop.safe_takeoff(10)
class myoBebop(object):
def __init__(self , indoorFly = True):
'''类初始化函数'''
self.bebop = None
self.indoorFlyFlag = indoorFly
self.actionType = "rest" #当前的动作类型
self.startSuccessFlag = False #初始化是否成功标志位
self.takeOfFlag = False #是否起飞标志位
self.landFlag = True #是否降落标志位
self.startFlag = False #程序开始标志位
self.executeCommondFlag = True #命令执行成功标志位
#动作映射字典
self.actionMapDict = { "front" : "fist" , "back" : "open_hand" ,
"left" : "one" , "right" : "two" ,
"up" : "good", "down" : "low" ,
"rotateLeft" : "three" , "rotateRight" : "four" ,
"takeOf": "ok" , "land" : "love"}
self.tempCount = 0 #计数
self.excuteFlag1 = True #读取动作类别标志位
self.excuteFlag2 = True #读取按键值的标志位
self.flyType = 0 #飞机飞行类别（0：正常飞行 ， 1：特技飞行）
self.moveStepTime = 1 #飞行器水平运行步长时间
self.rotateStepTime = 1 #飞行器旋转运行步长时间
def start(self):
'''开始函数'''
#初始化飞机对象
self.bebop = Bebop()
#连接飞机
print("connecting")
self.success = self.bebop.connect(10) #与飞机进行连接（最大尝试次数为10次）
if self.success == True:
print("sleeping")
self.bebop.smart_sleep(5)
self.bebop.ask_for_state_update() #获取飞机的状态
if self.indoorFlyFlag == True:
self.setIndoorFly()
print("set indoor fly sucess!!!")
print("The aircraft was successfully initialized!")
self.startSuccessFlag = True #开始成功
else:
print("The connection failed. Please check again!")
self.startSuccessFlag = False #开始失败
self.removeExitFile()
def bebopFly(self , actionType):
'''根据动作类别进行相应的动作'''
if actionType == self.actionMapDict["front"]: #向前飞
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll=0, pitch=50, yaw=0, vertical_movement=0, duration=self.moveStepTime)
print("fly front")
elif self.flyType == 1:
self.success = self.bebop.flip(direction="front")
print("flip front")
print("mambo flip result %s" % self.success)
self.bebop.smart_sleep(5)
self.executeCommondFlag = True
elif actionType == self.actionMapDict["back"]: #向后飞
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll=0, pitch=-50, yaw=0, vertical_movement=0, duration=self.moveStepTime)
print("fly back")
elif self.flyType == 1:
self.success = self.bebop.flip(direction="back")
print("flip back")
print("mambo flip result %s" % self.success)
self.bebop.smart_sleep(5)
self.executeCommondFlag = True
elif actionType == self.actionMapDict["left"]: #左飞
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll=50, pitch=0, yaw=0, vertical_movement=0, duration=self.moveStepTime)
print("fly left")
elif self.flyType == 1:
self.success = self.bebop.flip(direction="left")
print("flip left")
print("mambo flip result %s" % self.success)
self.bebop.smart_sleep(5)
self.executeCommondFlag = True
elif actionType == self.actionMapDict["right"]: #右飞
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll=-50, pitch=0, yaw=0, vertical_movement=0, duration=self.moveStepTime)
print("fly right")
elif self.flyType == 1:
self.success = self.bebop.flip(direction="right")
print("flip right")
print("mambo flip result %s" % self.success)
self.bebop.smart_sleep(5)
self.executeCommondFlag = True
elif actionType == self.actionMapDict["up"]: #上飞
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll = 0, pitch = 0, yaw = 0, vertical_movement=50, duration = self.moveStepTime)
print("fly up")
elif self.flyType == 1:
pass
self.executeCommondFlag = True
elif actionType == self.actionMapDict["down"]: #下飞
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll = 0, pitch = 0, yaw = 0, vertical_movement= - 50, duration = self.moveStepTime)
print("fly down")
elif self.flyType == 1:
pass
self.executeCommondFlag = True
elif actionType == self.actionMapDict["rotateLeft"]: #向左旋转
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll=0, pitch=0, yaw=50, vertical_movement=0, duration=self.moveStepTime)
print("fly rotateLeft")
elif self.flyType == 1:
pass
self.executeCommondFlag = True
elif actionType == self.actionMapDict["rotateRight"]: #向右旋转
self.executeCommondFlag = False
print("flying state is %s" % self.bebop.sensors.flying_state)
if self.flyType == 0:
self.bebop.fly_direct(roll=0, pitch=0, yaw = -50, vertical_movement=0, duration=self.moveStepTime)
print("fly rotateRight")
elif self.flyType == 1:
pass
self.executeCommondFlag = True
elif actionType == self.actionMapDict["takeOf"]: #起飞
self.startFlag = True
if self.landFlag == True:
self.landFlag = False
self.executeCommondFlag = False
print("take of ")
self.bebop.safe_takeoff(10)
self.bebop.smart_sleep(5)
self.executeCommondFlag = True
self.takeOfFlag = True
elif actionType == self.actionMapDict["land"]: #降落
if self.takeOfFlag == True:
self.takeOfFlag = False
self.executeCommondFlag = False
print("land ")
self.bebop.safe_land(10)
self.bebop.smart_sleep(5)
self.landFlag = True
self.executeCommondFlag = True
#myo失去连接后，飞机自动着落
def safeAction(self):
if self.startFlag == True:
if self.flyType == 0:
if self.tempCount > 100:
self.bebop.safe_land(10)
self.bebop.smart_sleep(5)
print("DONE - disconnecting")
self.bebop.disconnect()
self.mThread.forcedStopThread()
elif self.flyType == 1:
if self.tempCount > 300:
self.bebop.safe_land(10)
self.bebop.smart_sleep(5)
print("DONE - disconnecting")
self.bebop.disconnect()
self.mThread.forcedStopThread()
def setTheActionMain(self):
'''设置动作类别线程函数'''
if self.excuteFlag1 == True:
self.excuteFlag1 = False
os.system("python2 myoMain.py")
time.sleep(0.01)
def removeExitFile(self , fileName = "actionTempData.dat" ):
'''删除已经存在的文件'''
if os.path.exists(fileName) == True:
os.remove(fileName)
def setIndoorFly(self):
'''设置室内飞行的参数'''
self.bebop.set_max_tilt(5)
self.bebop.set_max_vertical_speed(1)
def getKeyValueMain(self):
'''获取按键值的线程函数'''
if self.excuteFlag2 == True:
self.excuteFlag2 = False
os.system("python2 quit.py" )
time.sleep(0.01)
#按键退出函数
def quitMain(self):
print("quit")
self.bebop.safe_land(10)
self.bebop.smart_sleep(5)
self.bebop.disconnect()
self.mThread.forcedStopThread()
def getTheActionMain(self):
'''得到动作类别线程函数'''
global quitFlag
while True:
self.actionType = getTheCurrentAction()
getTheKeyValue()
if quitFlag == True:
self.quitMain()
else:
if self.actionType == None:
self.tempCount += 1
else:
self.tempCount = 0
self.safeAction()
if self.executeCommondFlag == True:
self.bebopFly(self.actionType)
time.sleep(0.01)
def run(self):
'''运行主程序'''
try:
self.mThread = myThread()
self.mThread.addThread('setTheActionMain' , self.setTheActionMain , 0)
self.mThread.addThread('getTheActionMain' , self.getTheActionMain , 0)
self.mThread.addThread('getKeyValueMain' , self.getKeyValueMain , 0)
self.mThread.runThread()
except KeyboardInterrupt:
print("DONE")
self.bebop.disconnect()
self.mThread.forcedStopThread()
if __name__ == "__main__":
# make my mambo object
# remember to set True/False for the wifi depending on if you are using the wifi or the BLE to connect
# the address can be empty if you are using wifi
mambo = Bebop()
print("trying to connect to mambo now")
success = mambo.connect(num_retries=3)
print("connected: %s" % success)
if (success):
# get the state information
print("sleeping")
mambo.smart_sleep(1)
mambo.ask_for_state_update()
mambo.smart_sleep(1)
# setup the extra window to draw the markers in
cv2.namedWindow("ExampleWindow")
cv2.namedWindow("dst")
print("Preparing to open vision")
mambo.pan_tilt_camera_velocity(-90, 0, 1)
mamboVision = DroneVisionGUI(
mambo,
is_bebop=True,
buffer_size=200,
user_code_to_run=demo_mambo_user_vision_function,
user_args=(mambo, ))
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
sess = tf.Session(graph=detection_graph)
# Loading label map
# Label maps map indices to category names, so that when our convolution network predicts `5`, we know that this corresponds to `airplane`. Here we use internal utility functions, but anything that returns a dictionary mapping integers to appropriate string labels would be fine
label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
categories = label_map_util.convert_label_map_to_categories(
label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
category_index = label_map_util.create_category_index(categories)
drone = Bebop()
success = drone.connect(5)
#drone.set_picture_format('jpeg')
is_bebop = True
if (success):
# get the state information
print("sleeping")
drone.smart_sleep(1)
drone.ask_for_state_update()
drone.smart_sleep(1)
status = input("Input 't' if you want to TAKE OFF or not : ")
bebopVision = DroneVisionGUI(drone, is_bebop=True, buffer_size=200,user_code_to_run=tracking_target,
user_args=(drone, status, q))
Kim = Kim(bebopVision)
bebopVision.set_user_callback_function(Kim.detect_target, user_callback_args=(category_index,detection_graph,sess))
bebopVision.open_video()
class Drone:
def __init__(self):
self.drone = Bebop()
def take_off(self):
### Connect to Bebop drone and take off ###
success = self.drone.connect1(10)
print(success)
self.drone.safe_takeoff(2)
def step(self, roll, pitch, yaw, vertical_movement, duration):
### Moves the Bebop drone given input parameters ###
self.drone.fly_direct(self, roll, pitch, yaw, vertical_movement,
duration)
def square(self):
### Move the drone in a square pattern###
#move left and wait 1 second
self.drone.fly_direct(self,
roll=-15,
pitch=0,
yaw=0,
vertical_movement=0,
duration=1)
self.drone.smart_sleep(1)
#move forward and wait 1 second
self.drone.fly_direct(self,
roll=0,
pitch=15,
yaw=0,
vertical_movement=0,
duration=1)
self.drone.smart_sleep(1)
#move right and wait 1 second
self.drone.fly_direct(self,
roll=15,
pitch=0,
yaw=0,
vertical_movement=0,
duration=1)
self.drone.smart_sleep(1)
#move back and wait 1 second
self.drone.fly_direct(self,
roll=0,
pitch=-15,
yaw=0,
vertical_movement=0,
duration=1)
self.drone.smart_sleep(1)
def zigzag(self):
### Move the drone in a 3D zigzag pattern###
#move left-forward-up and wait 1 second
self.drone.fly_direct(self,
roll=-15,
pitch=15,
yaw=0,
vertical_movement=15,
duration=1)
self.drone.smart_sleep(1)
#move right-forward-down and wait 1 second
self.drone.fly_direct(self,
roll=15,
pitch=15,
yaw=0,
vertical_movement=-15,
duration=1)
self.drone.smart_sleep(1)
#move left and wait 1 second
self.drone.fly_direct(self,
roll=-15,
pitch=0,
yaw=0,
vertical_movement=0,
duration=1)
self.drone.smart_sleep(1)
#move right-back-up and wait 1 second
self.drone.fly_direct(self,
roll=15,
pitch=-15,
yaw=0,
vertical_movement=15,
duration=1)
self.drone.smart_sleep(1)
#move left-back-down and wait 1 second
self.drone.fly_direct(self,
roll=-15,
pitch=-15,
yaw=0,
vertical_movement=-15,
duration=1)
self.drone.smart_sleep(1)
def disconnect(self):
### Disconect Bebop drone ###
self.drone.disconnect()
def land(self):
### Disconnect Bebop drone and land ###
success = self.drone.connect1(10)
print(success)
self.drone.ask_for_state_update()
self.drone.safe_land(5)
self.drone.disconnect()
class drone:
def __init__(self, home):
self.rango_largo = properties.RANGO_LARGO
self.rango_ancho = properties.RANGO_ANCHO
self.mapa_largo = properties.MAPA_LARGO / self.rango_largo
self.mapa_ancho = properties.MAPA_ANCHO / self.rango_ancho
self.ip = None
self.port = None
self.search_map = [[0 for j in range(int(self.mapa_largo))]for i in range(int(self.mapa_ancho))]
self.current_position = home
self.current_rotation = math.pi / 2
self.mutex_search_map = threading.Lock()
self.poi_position = None
self.home = home
self.bebop = Bebop()
self.init_time = None
self.obstaculos = properties.OBSTACLES
self.max_altitude = properties.MAX_ALTITUDE
self.pathToFollow = None
self.destinationZone = None
self.countIter = 0
self.logMapTimestamp = None
self.logMap = None
def initialize(self, ip, port):
self.initSearchMapWithObstacles()
init_time = time.time()
self.init_time = init_time
if properties.ALGORITHM == SH_ORIGINAL:
self.search_map[self.home[0]][self.home[1]] = 1
elif properties.ALGORITHM == SH_TIMESTAMP or ALGORITHM == SH_NO_GREEDY_TIMESTAMP or ALGORITHM == RANDOM:
self.search_map = [[init_time for j in range(int(self.mapa_largo))]for i in range(int(self.mapa_ancho))]
# elif properties.ALGORITHM == RANDOM:
# self.search_map[self.home[0]][self.home[1]] = 1
self.ip = ip
self.port = port
# success = self.bebop.connect(10)
# print(success)
self.bebop.set_max_altitude(self.max_altitude)
self.bebop.ask_for_state_update()
if properties.STREAMING_MODE_ON:
self.initializeStreaming()
self.logMap = [[0 for j in range(int(self.mapa_largo))]for i in range(int(self.mapa_ancho))]
self.logMapTimestamp = [[init_time for j in range(int(self.mapa_largo))]for i in range(int(self.mapa_ancho))]
def initSearchMapWithObstacles(self):
for obstacle in self.obstaculos:
self.search_map[obstacle[0]][obstacle[1]] = -1
def take_off(self):
self.bebop.safe_takeoff(10)
def land(self):
self.bebop.safe_land(10)
def move(self, new_position):
verticalMove = self.getDronVerticalAlignment()
if properties.ROTATE:
rotation_diff = utils.angleDifference(self.current_position, new_position, self.current_rotation)
distance_diff = utils.cartesianDistance(self.current_position, new_position)
self.bebop.move_relative(0, 0, 0, rotation_diff)
time.sleep(2)
self.bebop.move_relative(distance_diff, 0, verticalMove, 0)
self.current_rotation -= rotation_diff
time.sleep(2)
else:
dx, dy = new_position[0] - self.current_position[0], new_position[1] - self.current_position[1]
real_dx, real_dy = dx * self.rango_ancho, dy * self.rango_largo
self.bebop.move_relative(real_dx, real_dy, verticalMove, 0)
time.sleep(2)
self.current_position = new_position
self.mutex_search_map.acquire()
utils.printMatrix(self.search_map)
self.mutex_search_map.release()
def setPoiPosition(self, poiPosition):
self.poi_position = poiPosition
def explore(self, forcePosition):
if properties.ALGORITHM == SH_ORIGINAL:
return self.explore_sh_original(forcePosition)
elif properties.ALGORITHM == SH_TIMESTAMP:
return self.explore_sh_timestamp(forcePosition)
elif properties.ALGORITHM == RANDOM:
return self.explore_random(forcePosition)
elif properties.ALGORITHM == SH_NO_GREEDY or properties.ALGORITHM == SH_NO_GREEDY_TIMESTAMP:
return self.explore_sh_no_greedy2(forcePosition)
def explore_sh_original(self, forcePosition):
firstTime = True
x = self.current_position[0]
y = self.current_position[1]
best_values = []
for y2 in range(-1, 2):
for x2 in range(-1, 2):
x3 = x + x2
y3 = y + y2
if self.validatePosition(x3, y3, forcePosition):
if firstTime:
self.mutex_search_map.acquire()
val = self.search_map[x3][y3]
self.mutex_search_map.release()
firstTime = False
# print("x3: " + str(x3) + " y3: " + str(y3) + " self.mapa_ancho: " + str(self.mapa_ancho) + " self.mapa_largo: " + str(self.mapa_largo))
self.mutex_search_map.acquire()
if (self.search_map[x3][y3] == val):
best_values.append((x3, y3))
val = self.search_map[x3][y3]
elif self.search_map[x3][y3] < val:
best_values = [(x3, y3)]
val = self.search_map[x3][y3]
self.mutex_search_map.release()
selected = self.selectBestValue(best_values)
return selected
def explore_sh_timestamp(self, forcePosition):
firstTime = True
x = self.current_position[0]
y = self.current_position[1]
best_values = []
for y2 in range(-1, 2):
for x2 in range(-1, 2):
x3 = x + x2
y3 = y + y2
if self.validatePosition(x3, y3, forcePosition):
if firstTime:
self.mutex_search_map.acquire()
val = self.search_map[x3][y3]
self.mutex_search_map.release()
firstTime = False
self.mutex_search_map.acquire()
if (self.search_map[x3][y3] == val):
best_values.append((x3, y3))
val = self.search_map[x3][y3]
elif self.search_map[x3][y3] < val:
best_values = [(x3, y3)]
val = self.search_map[x3][y3]
self.mutex_search_map.release()
selected = self.selectBestValue(best_values)
return selected
def explore_random(self, forcePosition):
x = self.current_position[0]
y = self.current_position[1]
best_values = []
for y2 in range(-1, 2):
for x2 in range(-1, 2):
x3 = x + x2
y3 = y + y2
if self.validatePosition(x3, y3, forcePosition):
best_values.append((x3, y3))
selected = self.selectBestValue(best_values)
return selected
# primer intento de algoritmo no greedy, si se lo trabaja un poco puede funcionar
def explore_sh_no_greedy(self, forcePosition):
firstTime = True
x = self.current_position[0]
y = self.current_position[1]
best_values = []
for y2 in range(-1, 2):
for x2 in range(-1, 2):
x3 = x + x2
y3 = y + y2
if self.validatePosition(x3, y3, forcePosition):
if firstTime:
self.mutex_search_map.acquire()
val = self.search_map[x3][y3]
self.mutex_search_map.release()
firstTime = False
self.mutex_search_map.acquire()
currentRegion = self.getCurrentRegion()
bestRegion = self.selectUnexploredRegion()
if self.isClosestToBestRegion(currentRegion, bestRegion, x2, y2):
if (self.search_map[x3][y3] == val):
best_values.append((x3, y3))
val = self.search_map[x3][y3]
elif self.search_map[x3][y3] < val:
best_values = [(x3, y3)]
val = self.search_map[x3][y3]
self.mutex_search_map.release()
selected = self.selectBestValue(best_values)
return selected
def explore_sh_no_greedy2(self, forcePosition):
if self.pathToFollow is not None and len(self.pathToFollow) > 0:
return self.getNewPositionFromPath()
else:
newZone = self.isChangeZone()
if newZone is not None:
self.destinationZone = newZone
self.getZonePath(newZone)
# self.selectNewZone(newZone)
return self.getNewPositionFromPath()
else:
if ALGORITHM == SH_NO_GREEDY:
return self.explore_sh_original(forcePosition)
else:
return self.explore_sh_timestamp(forcePosition)
def explore_sh_no_greedy_timestamp(self, forcePosition):
if self.pathToFollow is not None and len(self.pathToFollow) > 0:
return self.getNewPositionFromPath()
else:
newZone = self.isChangeZone()
if newZone is not None:
self.destinationZone = newZone
self.getZonePath(newZone)
# self.selectNewZone(newZone)
return self.getNewPositionFromPath()
else:
return self.explore_sh_timestamp(forcePosition)
def getNewPositionFromPath(self):
new_position = self.pathToFollow[0]
del self.pathToFollow[0]
if self.getPositionZone(new_position) == self.destinationZone and self.isUnexploredPosition(new_position):
self.pathToFollow = None
self.destinationZone = None
return new_position
def isUnexploredPosition(self, new_position):
if ALGORITHM == SH_NO_GREEDY_TIMESTAMP or ALGORITHM == SH_TIMESTAMP:
timeBetweenLastVisit = time.time() - self.search_map[new_position[0]][new_position[1]]
firstTime = self.search_map[new_position[0]][new_position[1]] == self.init_time
return timeBetweenLastVisit > TIME_COVERAGE_REFRESH or firstTime
else:
return self.search_map[new_position[0]][new_position[1]] == self.countIter
def isChangeZone(self):
currentZone = self.getCurrentRegion()
zonesCoverage = self.getZonesCoverage()
currentZoneCoverage = zonesCoverage[currentZone - 1]
minZoneCoverage = min(zonesCoverage)
if minZoneCoverage >= MIN_ACCEPTABLE_COVERAGE:
self.countIter += 1
# self.updateCoverageCondition()
zonesCoverage = self.getZonesCoverage()
currentZoneCoverage = zonesCoverage[currentZone - 1]
minZoneCoverage = min(zonesCoverage)
if currentZoneCoverage >= MIN_ACCEPTABLE_COVERAGE or currentZoneCoverage - minZoneCoverage > COVERAGE_THRESHOLD:
newZone = self.selectUnexploredRegion()
return newZone
return None
def updateCoverageCondition(self):
if self.init_time is not None:
self.init_time = time.time()
else:
self.countIter += 1
def getZonePath(self, newZone):
zonePosition = self.selectPositionInZone(newZone)
pathfinder = Pathfinder(self.current_position, zonePosition)
pathToFollow = pathfinder.findPath()
self.pathToFollow = pathfinder.parsePathToCoordinates(pathToFollow)
def selectPositionInZone(self, zone):
if zone == 1:
position = (0, 0)
elif zone == 2:
position = (0, int(self.mapa_largo - 1))
elif zone == 3:
position = (int(self.mapa_ancho - 1), 0)
else:
position = (int(self.mapa_ancho - 1), int(self.mapa_largo - 1))
# if zone == 1 or zone == 2:
# while position[0] < self.mapa_ancho and self.search_map[position[0], position[1]] == -1:
# position = (position[0] + 1, 0)
# elif zone == 3 or zone == 4:
# while position[0] < self.mapa_largo and self.search_map[position[0], position[1]] == -1:
# position = (0, position[1] + 1)
# asumo que encuentro posicion valida
return position
def selectNewZone(self, currentZone):
newZone = random.randint(0, 3)
while newZone == currentZone:
newZone = random.randint(0, 3)
return newZone
def isClosestToBestRegion(currentRegion, bestRegion, x, y):
if currentRegion == bestRegion:
return True
bestCoordinates = getBestCoordinates(currentRegion, bestRegion)
if x in bestCoordinates[0] and y in bestCoordinates[1]:
return True
return False
def getBestCoordinates(currentRegion, bestRegion):
if currentRegion == 1:
if bestRegion == 2:
return [(-1, 1), (0, 1), (1, 1)]
elif bestRegion == 3:
return [(1, -1), (1, 0), (1, 1)]
else:
return [(0, 1), (1, 1), (1, 0)]
elif currentRegion == 2:
if bestRegion == 1:
return [(-1, -1), (0, -1), (1, 1)]
elif bestRegion == 3:
return [(1, -1), (0, -1), (1, 0)]
else:
return [(1, -1), (1, 0), (1, 1)]
elif currentRegion == 3:
if bestRegion == 1:
return [(-1, -1), (-1, 0), (-1, 1)]
elif bestRegion == 2:
return [(-1, 0), (-1, 1), (0, 1)]
else:
return [(-1, 1), (0, 1), (1, 1)]
else:
if bestRegion == 1:
return [(-1, -1), (-1, 0), (0, -1)]
elif bestRegion == 2:
return [(-1, -1), (-1, 0), (-1, 1)]
else:
return [(-1, -1), (0, -1), (1, -1)]
def getCurrentRegion(self):
return self.getPositionZone(self.current_position)
def getPositionZone(self, position):
if self.mapa_largo / 2 > position[1] and self .mapa_ancho / 2 > position[0]:
return 1
elif self.mapa_largo / 2 <= position[1] and self .mapa_ancho / 2 > position[0]:
return 2
elif self.mapa_largo / 2 > position[1] and self .mapa_ancho / 2 <= position[0]:
return 3
elif self.mapa_largo / 2 <= position[1] and self .mapa_ancho / 2 <= position[0]:
return 4
def selectUnexploredRegion(self):
regionCoverage = []
regionCoverage.append(getMapCoverage(self, 0, self.mapa_ancho / 2, 0, self.mapa_largo / 2))
regionCoverage.append(getMapCoverage(self, self.mapa_ancho / 2, self.mapa_ancho, 0, self.mapa_largo / 2))
regionCoverage.append(getMapCoverage(self, 0, self.mapa_ancho / 2, self.mapa_largo / 2, self.mapa_largo))
regionCoverage.append(getMapCoverage(self, self.mapa_ancho / 2, self.mapa_ancho, self.mapa_largo / 2, self.mapa_largo))
selectedZone = regionCoverage.index(min(regionCoverage)) + 1
if selectedZone == self.getCurrentRegion():
return None
return selectedZone
def getZonesCoverage(self):
regionCoverage = []
regionCoverage.append(getMapCoverage(self, 0, self.mapa_ancho / 2, 0, self.mapa_largo / 2))
regionCoverage.append(getMapCoverage(self, self.mapa_ancho / 2, self.mapa_ancho, 0, self.mapa_largo / 2))
regionCoverage.append(getMapCoverage(self, 0, self.mapa_ancho / 2, self.mapa_largo / 2, self.mapa_largo))
regionCoverage.append(getMapCoverage(self, self.mapa_ancho / 2, self.mapa_ancho, self.mapa_largo / 2, self.mapa_largo))
return regionCoverage
def selectBestValue(self, best_values):
lenght = len(best_values)
# print("selectBestValue: " + str(lenght))
if(lenght == 1):
return best_values[0]
else:
selected = random.randint(0, lenght - 1)
return best_values[selected]
def validatePosition(self, x3, y3, forcePosition):
condition = x3 >= 0 and y3 >= 0 and x3 < self.mapa_ancho and y3 < self.mapa_largo
tupla = (x3, y3)
if self.pointIsObstacule(x3, y3):
return False
elif (forcePosition is not None):
return (condition and self.minDistanceToTarget(self.home, self.current_position, tupla))
elif self.poi_position is not None:
return (condition and self.minDistanceToTarget(self.poi_position, self.current_position, tupla))
elif self.checkBatteryStatus() == NORMAL:
return condition
else:
return (condition and self.minDistanceToTarget(self.home, self.current_position, tupla))
def minDistanceToTarget(self, target, positionA, positionB):
# print("minDistanceToTarget")
distance2 = self.calculateDistance(target, positionA)
distance1 = self.calculateDistance(target, positionB)
# print("distance1: " + str(distance1) + " distance2: " + str(distance2))
return (distance1 <= distance2)
def pointIsObstacule(self, x1, x2):
isObstacule = False
for obs in self.obstaculos:
if obs[0] == x1 and obs[1] == x2:
isObstacule = True
return isObstacule
def calculateDistance(self, tuple1, tuple2):
return math.sqrt((tuple2[1] - tuple1[1])**2 + (tuple2[0] - tuple1[0])**2)
def updateSearchMap(self, tupla):
self.mutex_search_map.acquire()
if properties.ALGORITHM == SH_ORIGINAL or properties.ALGORITHM == SH_NO_GREEDY:
self.search_map[tupla[0]][tupla[1]] += 1
elif properties.ALGORITHM == SH_TIMESTAMP or ALGORITHM == SH_NO_GREEDY_TIMESTAMP or ALGORITHM == RANDOM:
self.search_map[tupla[0]][tupla[1]] = time.time()
self.logMap[tupla[0]][tupla[1]] += 1
self.logMapTimestamp[tupla[0]][tupla[1]] = time.time()
self.mutex_search_map.release()
def getSearchMap(self):
# self.mutex_search_map.acquire()
return [[self.search_map[i][j] for j in range(int(self.mapa_largo))]for i in range(int(self.mapa_ancho))]
# self.mutex_search_map.release()
def getDroneAltitude(self):
return self.bebop.sensors.sensors_dict["AltitudeChanged_altitude"]
def checkDroneAltitudeStatus(self):
altitude = self.getDroneAltitude()
if (altitude < properties.MIN_ALTITUDE):
return TOO_LOW
elif (altitude > properties.MAX_ALTITUDE):
return TOO_HIGH
else:
return ALTITUDE_OK
def getDronVerticalAlignment(self):
droneAltitudeStatus = self.checkDroneAltitudeStatus()
verticalAlignment = 0
if (droneAltitudeStatus == TOO_LOW or droneAltitudeStatus == TOO_HIGH):
# negative goes up, positive goes down
verticalAlignment = self.getDroneAltitude() - properties.OPTIMAL_ALTITUDE
else:
verticalAlignment = 0
return verticalAlignment
def getBatteryPercentage(self):
return self.bebop.sensors.battery
def checkBatteryStatus(self):
batteryPercentage = self.getBatteryPercentage()
if batteryPercentage < 5:
return CRITICAL
elif batteryPercentage < 10:
return LOW
else:
return NORMAL
def goHome(self):
if self.current_position != self.home:
pathfinder = Pathfinder(self.current_position, self.home)
pathToFollow = pathfinder.findPath()
pathfinder.printFinalMap()
for nextPosition in pathfinder.parsePathToCoordinates(pathToFollow):
self.move(nextPosition)
def getClosestCoordinateToTarget(self, target, pos):
res = self.current_position[pos]
if res < target[pos]:
res = res + 1
elif res > target[pos]:
res = res - 1
return res
def moveToPoiCritico(self, path):
for nextPosition in path:
self.move(nextPosition)
def moveNextPositionPOICritico(self, new_position):
dx, dy = new_position[0] - self.current_position[0], new_position[1] - self.current_position[1]
real_dx, real_dy = dx * self.rango_ancho, dy * self.rango_largo
verticalMove = self.getDronVerticalAlignment()
self.bebop.move_relative(real_dx, real_dy, verticalMove, 0)
time.sleep(2)
self.current_position = new_position
def disconnect(self):
if properties.STREAMING_MODE_ON:
self.closeStreaming()
self.bebop.disconnect()
def initializeStreaming(self):
print("-- Starting Streaming... --")
self.bebop.set_video_resolutions('rec720_stream720')
self.bebop.start_video_stream()
print("-- Streaming Started! --")
def closeStreaming(self):
print("-- Stopping Streaming... --")
self.bebop.stop_video_stream()
print("-- Streaming stopped!")
