def METHOD_NAME(mission, vehicle, category, ftype, outpath):
    # parser meta data
    sensor_string = "alr"
    category = category
    output_format = ftype
    filename = mission.velocity.filename
    filepath = mission.velocity.filepath
    # TODO handle timezone and timeoffsets
    # ALR std models
    depth_std_factor = mission.depth.std_factor
    velocity_std_factor = mission.velocity.std_factor
    velocity_std_offset = mission.velocity.std_offset
    orientation_std_offset = mission.orientation.std_offset
    altitude_std_factor = mission.altitude.std_factor
    headingoffset = vehicle.dvl.yaw
    body_velocity = BodyVelocity(
        velocity_std_factor, velocity_std_offset, headingoffset
    )
    orientation = Orientation(headingoffset, orientation_std_offset)
    depth = Depth(depth_std_factor)
    altitude = Altitude(altitude_std_factor)
    latitude_reference = mission.origin.latitude
    longitude_reference = mission.origin.longitude
    usbl = Usbl(
        mission.usbl.std_factor,
        mission.usbl.std_offset,
        latitude_reference,
        longitude_reference,
    )
    sensor_string = "alr"
    usbl.sensor_string = sensor_string
    body_velocity.sensor_string = sensor_string
    orientation.sensor_string = sensor_string
    depth.sensor_string = sensor_string
    altitude.sensor_string = sensor_string
    path = get_raw_folder(outpath / ".." / filepath / filename)
    # Check if file extension is .mat (Matlab) use legacy parser
    _, extension = os.path.splitext(filename)
    if extension == ".mat":
        alr_log = loadmat(str(path))
        mission_data = alr_log["MissionData"]
        dvl_down_bt_key = "DVL_down_BT_is_good"
    elif extension == ".csv":
        # Load the data from CSV file with well-known headers
        mission_data = pd.read_csv(str(path))
        # Check if mission_data dataframe has "timestamp" header
        # mission_data["epoch_timestamp"]=mission_data["timestamp"]
        if "corrected_timestamp" in mission_data.keys():
            mission_data = mission_data.rename(
                columns={"corrected_timestamp": "epoch_timestamp"}
            )
        elif "timestamp" in mission_data.keys():
            mission_data = mission_data.rename(columns={"timestamp": "epoch_timestamp"})
        dvl_down_bt_key = "DVL_down_BT_valid"
    data_list = []
    if category == Category.VELOCITY:
        Console.info("Parsing alr velocity...")
        previous_timestamp = 0
        for i in range(len(mission_data["epoch_timestamp"])):
            if mission_data[dvl_down_bt_key][i] == 1:
                vx = mission_data["DVL_down_BT_x"][i]
                vy = mission_data["DVL_down_BT_y"][i]
                vz = mission_data["DVL_down_BT_z"][i]
                # vx, vy, vz should not be NaN on lines with bottom lock,
                # but check to be on the safe side:
                if not isnan(vx) and not isnan(vy) and not isnan(vz):
                    t = mission_data["epoch_timestamp"][i]
                    body_velocity.from_alr(t, vx, vy, vz)
                    data = body_velocity.export(output_format)
                    if body_velocity.epoch_timestamp > previous_timestamp:
                        data_list.append(data)
                    else:
                        data_list[-1] = data
                    previous_timestamp = body_velocity.epoch_timestamp
        Console.info("...done parsing ALR velocity")
    if category == Category.ORIENTATION:
        Console.info("Parsing ALR orientation...")
        previous_timestamp = 0
        for i in range(len(mission_data["epoch_timestamp"])):
            roll = mission_data["AUV_roll"][i]
            pitch = mission_data["AUV_pitch"][i]
            yaw = mission_data["AUV_heading"][i]
            if not isnan(roll) and not isnan(pitch) and not isnan(yaw):
                t = mission_data["epoch_timestamp"][i]
                orientation.from_alr(t, roll, pitch, yaw)
                data = orientation.export(output_format)
                if orientation.epoch_timestamp > previous_timestamp:
                    data_list.append(data)
                else:
                    data_list[-1] = data
                previous_timestamp = orientation.epoch_timestamp
        Console.info("...done parsing ALR orientation")
    if category == Category.DEPTH:
        Console.info("Parsing ALR depth...")
        previous_timestamp = 0
        for i in range(len(mission_data["epoch_timestamp"])):
            d = mission_data["AUV_depth"][i]
            if not isnan(d):
                t = mission_data["epoch_timestamp"][i]
                depth.from_alr(t, d)
                data = depth.export(output_format)
                if depth.epoch_timestamp > previous_timestamp:
                    data_list.append(data)
                else:
                    data_list[-1] = data
                previous_timestamp = depth.epoch_timestamp
        Console.info("...done parsing ALR depth")
    if category == Category.ALTITUDE:
        Console.info("Parsing ALR altitude...")
        previous_timestamp = 0
        for i in range(len(mission_data["epoch_timestamp"])):
            if mission_data[dvl_down_bt_key][i] == 1:
                a = mission_data["AUV_altitude"][i]
                # The altitude should not be NaN on lines with bottom lock,
                # but check to be on the safe side:
                if not isnan(a):
                    t = mission_data["epoch_timestamp"][i]
                    altitude.from_alr(t, a)
                    data = altitude.export(output_format)
                    if altitude.epoch_timestamp > previous_timestamp:
                        data_list.append(data)
                    else:
                        data_list[-1] = data
                    previous_timestamp = altitude.epoch_timestamp
        Console.info("...done parsing ALR altitude")
    if category == Category.USBL:
        Console.info("Parsing GPS data as USBL")
        previous_timestamp = 0
        total = 0
        for i in range(len(mission_data["epoch_timestamp"])):  # for each entry
            # check if GPS data is not None
            lat = mission_data["GPS_latitude"][i]
            lon = mission_data["GPS_longitude"][i]
            depth = mission_data["AUV_depth"][i]
            if not isnan(lat) and not isnan(lon):
                t = mission_data["epoch_timestamp"][i]  # current entry timestamp
                usbl.from_alr(
                    t, lat, lon, depth
                )  # populate the structure with time, lat, lon and depth
                data = usbl.export(
                    output_format
                )  # convert to currently defined output format
                if t > previous_timestamp:
                    data_list.append(data)
                    total = total + 1
                else:
                    data_list[-1] = data
                previous_timestamp = t
        Console.info("...done parsing ALR USBL. Total: ", total)
    return data_list