intel dataset for karto

1. Turn intel log to rosbag(ref:http://blog.csdn.net/u013859301/article/details/52986476)

#!/usr/bin/env python
#coding=utf8


'''This is a converter for the Intel Research Lab SLAM dataset
   ( http://kaspar.informatik.uni-freiburg.de/~slamEvaluation/datasets/intel.clf )
   to rosbag'''

import rospy
import rosbag
from sensor_msgs.msg import LaserScan
from nav_msgs.msg import Odometry
from math import pi
from tf2_msgs.msg import TFMessage
from geometry_msgs.msg import TransformStamped
import tf
import sys

def make_tf_msg(x, y, theta, t,base,base0):
    trans = TransformStamped()
    trans.header.stamp = t
    trans.header.frame_id = base
    trans.child_frame_id = base0
    trans.transform.translation.x = x
    trans.transform.translation.y = y
    q = tf.transformations.quaternion_from_euler(0, 0, theta)
    trans.transform.rotation.x = q[0]
    trans.transform.rotation.y = q[1]
    trans.transform.rotation.z = q[2]
    trans.transform.rotation.w = q[3]

    msg = TFMessage()
    msg.transforms.append(trans)
    return msg
if __name__ == "__main__":
    if len(sys.argv) < 3:
        print "请输入dataset文件名。" 
        exit()
    print "正在处理" + sys.argv[1] + "..."
    with open(sys.argv[1]) as dataset:
        with rosbag.Bag(sys.argv[2], 'w') as bag:
            i = 1
            for line in dataset.readlines():
                line = line.strip()
                tokens = line.split(' ')
                if len(tokens) <= 2:
                    continue
                if tokens[0] == 'FLASER':
                    msg = LaserScan()
                    num_scans = int(tokens[1])

                    if num_scans != 180 or len(tokens) < num_scans + 9:
                        rospy.logwarn("unsupported scan format")
                        continue

                    msg.header.frame_id = 'base_laser_link'
                    t = rospy.Time(float(tokens[(num_scans + 8)]))
                    msg.header.stamp = t
                    msg.header.seq = i
                    i += 1
                    msg.angle_min = -90.0 / 180.0 * pi
                    msg.angle_max = 90.0 / 180.0 * pi
                    msg.angle_increment = pi / num_scans
                    msg.time_increment = 0.2 / 360.0
                    msg.scan_time = 0.2
                    msg.range_min = 0.001
                    msg.range_max = 50.0
                    msg.ranges = [float(r) for r in tokens[2:(num_scans + 2)]]

                    bag.write('scan', msg, t)

                    odom_x, odom_y, odom_theta = [float(r) for r in tokens[(num_scans + 2):(num_scans + 5)]]
                    tf_msg = make_tf_msg(odom_x, odom_y, odom_theta, t,'odom','base_link')
                    bag.write('tf', tf_msg, t)

                elif tokens[0] == 'ODOM':
                    odom_x, odom_y, odom_theta = [float(t) for t in tokens[1:4]]
                    t = rospy.Time(float(tokens[7]))
                    tf_msg = make_tf_msg(0, 0, 0, t,'base_link','base_laser_link')
                    bag.write('tf', tf_msg, t)

$catkin_create_pkg clf2bag rospy std_msgs

copy the clf2bag.py to clf2bag/src

$catkin_make

$rosrun clf2bag clf2bag.py [your intel dataset path] intel.bag

 

2. Download open_karto

Here is something wrong when using ROS in karto.

[info] LaserRangeScan contains  180 range readings, expected 181

in open_karto/src/Karto.cpp

   if (pLaserRangeScan->GetNumberOfRangeReadings() != GetNumberOfRangeReadings()-1)

 

3. download slam_karto

 

4. catkin_make

5 r

$rosparam set use_sim_time true

$roslaunch slam_karto/launch/karto_slam.launch   

$rosbag play --clock  [your bag path]/intel.bag