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multi_sensor.py

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# author: Vijay Pradeep

from pr2_calibration_estimation.sensors import tilting_laser_sensor, chain_sensor, camera_chain_sensor
from numpy import concatenate
from numpy import zeros, cumsum, matrix, array

def block_diag(m_list):
    '''
    Given a list of matricies.  Combine into a larger, block diagonal matrix. This really should
    exist in numpy
    '''
    # Must be square
    for m in m_list:
        assert(m.shape[0] == m.shape[1])
    m_sizes = [m.shape[0] for m in m_list ]
    end_ind   = list(cumsum(m_sizes))
    start_ind = [0] + end_ind[0:-1]
    result = zeros( [end_ind[-1], end_ind[-1] ] )
    for first, last, m in zip(start_ind, end_ind, m_list):
        result[first:last, first:last] = m
    return matrix(result)

class MultiSensor:
    '''
    Provides helper methods for dealing with all the sensor measurements
    generated from a single RobotMeasurement/CbPose pair
    '''
    def __init__(self, sensor_configs):
        self._sensor_configs = sensor_configs
        self.sensors = []
        self.checkerboard = "NONE"

    def sensors_from_message(self, msg):
        sensors = []

        sensor_type = 'tilting_lasers'
        if sensor_type in self._sensor_configs.keys():
            cur_bundler = tilting_laser_sensor.TiltingLaserBundler( self._sensor_configs[sensor_type] )
            cur_sensors = cur_bundler.build_blocks(msg)
            sensors.extend(cur_sensors)
        else:
            print "[%s] section doesn't exist. Skipping"

        sensor_type = 'chains'
        if sensor_type in self._sensor_configs.keys():
            cur_bundler = chain_sensor.ChainBundler( self._sensor_configs[sensor_type] )
            cur_sensors = cur_bundler.build_blocks(msg)
            sensors.extend(cur_sensors)
        else:
            print "[%s] section doesn't exist. Skipping"

        sensor_type = 'camera_chains'
        if sensor_type in self._sensor_configs.keys():
            cur_bundler = camera_chain_sensor.CameraChainBundler( self._sensor_configs[sensor_type] )
            cur_sensors = cur_bundler.build_blocks(msg)
            sensors.extend(cur_sensors)
        else:
            print "[%s] section doesn't exist. Skipping"

        # Store the sensor list internally
        self.sensors = sensors
        self.checkerboard = msg.target_id


    def update_config(self, robot_params):
        for sensor in self.sensors:
            sensor.update_config(robot_params)

    def compute_residual(self, target_pts):
        r_list = [sensor.compute_residual(target_pts) for sensor in self.sensors]
        if len(r_list) == 0:
            return array([])

        r = concatenate(r_list,0)
        return r

    def compute_residual_scaled(self, target_pts):
        r_list = [sensor.compute_residual_scaled(target_pts) for sensor in self.sensors]
        if len(r_list) == 0:
            return array([])

        r = concatenate(r_list,0)
        return r

    def compute_marginal_gamma_sqrt(self, target_pts):
        gamma_sqrt_list = [sensor.compute_marginal_gamma_sqrt(target_pts) for sensor in self.sensors]
        if len(gamma_sqrt_list) == 0:
            return matrix([])
        gamma_sqrt = block_diag(gamma_sqrt_list)
        return gamma_sqrt

    def get_residual_length(self):
        return sum([sensor.get_residual_length() for sensor in self.sensors])

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pr2_calibration_estimation
Author(s): Vijay Pradeep
autogenerated on Fri Mar 1 16:57:05 2013