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occupancy_grid_3d.py File Reference

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Classes

class  hrl_tilting_hokuyo.occupancy_grid_3d.occupancy_grid_3d
 class which implements the occupancy grid More...

Namespaces

namespace  hrl_tilting_hokuyo::occupancy_grid_3d

Functions

def hrl_tilting_hokuyo::occupancy_grid_3d.subtract
 subtract occupancy grids.

Variables

tuple hrl_tilting_hokuyo::occupancy_grid_3d.cloud = pu.CubeCloud(grid_pts,(0,0,0),(resolution/2).A1.tolist())
 print grid_pts
tuple hrl_tilting_hokuyo::occupancy_grid_3d.dict = ut.load_pickle(pkl_file_name)
tuple hrl_tilting_hokuyo::occupancy_grid_3d.gr
tuple hrl_tilting_hokuyo::occupancy_grid_3d.grid_pts = gr.grid_to_centroids()
string hrl_tilting_hokuyo::occupancy_grid_3d.help = 'file.pkl File with the scan,pos dict.'
list hrl_tilting_hokuyo::occupancy_grid_3d.l1 = dict['l1']
list hrl_tilting_hokuyo::occupancy_grid_3d.l2 = dict['l2']
tuple hrl_tilting_hokuyo::occupancy_grid_3d.lc = pu.LineCloud(gr.grid_lines(),(100,100,0))
tuple hrl_tilting_hokuyo::occupancy_grid_3d.max_angle = math.radians(40)
tuple hrl_tilting_hokuyo::occupancy_grid_3d.min_angle = math.radians(-40)
tuple hrl_tilting_hokuyo::occupancy_grid_3d.p = optparse.OptionParser()
tuple hrl_tilting_hokuyo::occupancy_grid_3d.pc = pu.PointCloud(pts,(100,100,100))
 hrl_tilting_hokuyo::occupancy_grid_3d.pkl_file_name = opt.pkl_file_name
list hrl_tilting_hokuyo::occupancy_grid_3d.pos_list = dict['pos_list']
tuple hrl_tilting_hokuyo::occupancy_grid_3d.pts = ut.load_pickle(pts_pkl)
 hrl_tilting_hokuyo::occupancy_grid_3d.pts_pkl = opt.pts_pkl
tuple hrl_tilting_hokuyo::occupancy_grid_3d.resolution = np.matrix([0.01,0.01,0.01])
 print gr.grid
list hrl_tilting_hokuyo::occupancy_grid_3d.scan_list = dict['scan_list']
tuple hrl_tilting_hokuyo::occupancy_grid_3d.t0 = time.time()
tuple hrl_tilting_hokuyo::occupancy_grid_3d.t1 = time.time()


hrl_tilting_hokuyo
Author(s): Advait Jain, Advisor: Prof. Charlie Kemp, Lab: Healthcare Robotics Lab at Georgia Tech
autogenerated on Wed Nov 27 2013 11:56:18