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koide3
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small_gicp
Efficient and parallel algorithms for point cloud registration [C++, Python]
MIT License
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Fix typos in the links to examples
#30
nkhedekar
closed
3 months ago
1
Missing normal vector after downsampling
#29
mcmingchang
closed
3 months ago
1
kitti_odometry.py
#28
koide3
closed
3 months ago
1
Pymore
#27
koide3
closed
3 months ago
1
feat: add package.xml
#26
wep21
closed
3 months ago
7
fix: add template keyword
#25
wep21
closed
3 months ago
3
miss setup.py
#24
mcmingchang
closed
3 months ago
13
Fix an invalid `install(cmake/FindTBB.cmake)`
#23
valgur
closed
3 months ago
2
make install failed
#22
Tomoya-Sato
closed
3 months ago
2
Manually adding normals
#21
mcmingchang
closed
3 months ago
2
static code analysis
#20
koide3
closed
3 months ago
1
fix typo
#19
koide3
closed
3 months ago
1
refactor RegistrationPCL
#18
koide3
closed
3 months ago
1
make tbb and pcl optional for benchmark
#17
koide3
closed
3 months ago
1
enable packages at the beginning
#16
koide3
closed
3 months ago
0
apply termination criteria
#15
koide3
closed
3 months ago
1
May I ask if there will be a faster version of GPU in the future
#14
mcmingchang
closed
3 months ago
1
How about the performance compare to nano_gicp using in DLO/DLIO ?
#13
qpc001
closed
3 months ago
1
Note
#12
koide3
closed
3 months ago
1
unified incremental voxelmap structure
#11
koide3
closed
3 months ago
1
github login is no longer necessary
#10
koide3
closed
3 months ago
1
Test
#9
koide3
closed
3 months ago
1
expose termination criterion
#8
koide3
closed
3 months ago
1
add accuracy benchmark results
#7
koide3
closed
3 months ago
1
Improve the project's CMake and Python structure to aid packaging
#6
valgur
closed
3 months ago
7
Coverage
#5
koide3
closed
3 months ago
0
Coverage
#4
koide3
closed
3 months ago
0
Posting the way you are using small_gicp
#3
koide3
opened
3 months ago
17
examples
#2
koide3
closed
4 months ago
0
multi-distro CI
#1
koide3
closed
4 months ago
0
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