Pioneer 3AT (all terrain)
• The most popular outdoor robot
• Length: 0.65m, Height: 0.2m, Width: 0.66m
• Max speed : 0.7m/s, slope mobility : 25°, max payload : 30kg
Fig. 1 Platform and sensor configuration
Research Contents
DSM (digital surface model)
• Most popular maps to represent outdoor environments generated using an aerial mapping system
• Digital representation of ground surface using 2D grids
• Each grid has a single elevation information (2.5D)
• There are many discrepancies (DSM vs. real environment)
Fig. 2 Example of DSM built by aerial mapping system
Local 3D Map
• Accurate representation of the real outdoor environments built by a robot with tilting laser scanner
• Each grid contains the number of surface level and the minimum, maximum elevation at each level
• ICP (iterative closest points)-based integration of local maps (outdoor SLAM)
Fig. 3 ICP-based outdoor 3D SLAM
Combination of DSM and Satellite Image for Virtual Reality
• Texture mapping on DSM using satellite image
• We can confirm the understanding of environment become much easier than before combination of satellite image
Fig. 4 Combination of DSM and satellite image for virtual reality
Particle filter-based outdoor localization
• Localization by matching the environment model and sensor data
• Reference map is built by aerial mapping system or robot with tilting laser scanner
• Monte Carlo localization (MCL): based on range sensor for map matching
Fig. 5 Concept of map matching-based outdoor localization
Mov. 1 Particle filter-based local localization based on DSM
Accurate update of DSM by using local 3D map
• To overcome the limitation of DSM representation
• 2.5D DSM and local 3D map can be represented at once
Fig. 6 Effect of updating DSM: non-updated DSM built by aerial mapping system, and updated DSM fused with local elevation map
Mov. 2 Accurate update of DSM by using local 3D map
Related Paper
• Yong-Ju Lee, Yong-Hoon Ji, Jae-Bok Song, and Sang-Hyun Joo, “Performance Improvement of ICP-
based Outdoor SLAM Using Terrain Classification,” Proceeding of the International Conference on Advanced Mechatronics (ICAM 2010),
pp. 243-246, October, 2010, Osaka, Japan.
• Yong-Hoon Ji, Sung-Ho Hong, Jae-Bok Song, and Ji-Hoon Choi, “DSM Update for Robust Outdoor Localization Using
ICP-based Scan Matching with COAG Features of Laser Range Data,” Proceeding of the IEEE/SICE International Symposium on System Integration
(SII 2011), pp. 1245-1250, December 2011, Kyoto, Japan.