traversabilityMap
Description
The traversabilityMap
object creates a traversability map object
from digital elevation model (DEM) data of uneven terrain and assess terrain navigability
through geometric properties such as slope, step height, and roughness. You can specify
thresholds and relative cost weights for these properties and visualize the resulting
traversability map using the show
function.
The traversability map estimates the navigability of offroad terrain by calculating traversability costs based on terrain digital elevation model at specific grid locations using point cloud data.
Creation
Syntax
Description
creates a
map
= traversabilityMaptraversabilityMap
for a flat terrain of length and width equal to 100
meters and default resolution of 1 cell per meter.
map = traversabilityMap(
creates a
elevmodel
)traversabilityMap
object from a 2-D matrix,
elevmodel
, containing the digital elevation model for a terrain
with default resolution of 1 cell per meter. The first dimension of
elevmodel
matrix corresponds to the y-axis and second dimension to
the x-axis.
map = traversabilityMap(
creates a elevmodel
,res
)traversabilityMap
object from a 2-D matrix,
elevmodel
, containing the digital elevation model for a terrain
with the Resolution
property, specified as cells per meter.
map = traversabilityMap(___,Name=Value)
specifies
properties using one or more name-value arguments.
Input Arguments
Properties
Object Functions
copy | Create copy of traversability map |
getMapData | Retrieve data from traversability map layer |
show | Display terrain traversability map layer |
Examples
References
[1] Chilian, Annett, and Heiko Hirschmuller. “Stereo Camera Based Navigation of Mobile Robots on Rough Terrain.” In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 4571–76. St. Louis, MO: IEEE, 2009. https://doi.org/10.1109/IROS.2009.5354535.
[2] Guan, Tianrui, Zhenpeng He, Ruitao Song, Dinesh Manocha, and Liangjun Zhang. “TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators.” In Robotics: Science and Systems XVIII. Robotics: Science and Systems Foundation, 2022. https://doi.org/10.15607/RSS.2022.XVIII.049.
Extended Capabilities
Version History
Introduced in R2025a