Comments (2)
nmerrill67
commented on June 12, 2024
Yes. You can get an idea of how to integrate CALC into a SLAM system from the online demo, where ground truth replaces the trajectory estimation. CALC essentially gives you what DBoW2 gives you (in terms of implementation). You can perform k-nearest neighbor searches for key frames, and find loop closure candidates using some thresholding of the similarity scores.
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goldbattle
commented on June 12, 2024
Here is a youtube video showing what Nate is referencing:
https://www.youtube.com/watch?v=Bmg03-QtynY
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Related Issues (20)
- make error HOT 1
- implementation about the LA model HOT 3
- make error HOT 3
- landmark
- implementation about the landmark-based place recognition HOT 2
- compile DBoW2 error HOT 2
- Run testNet.py HOT 2
- deeplcd-test error HOT 2
- make error HOT 3
- BGR2YUV and YUV2BGR?
- What is the value of loss? HOT 3
- Using DeepLCD in LSD-SLAM HOT 3
- When I execute cmake .. && make in the build folder of DeepLCD I get the following error HOT 3
- make error HOT 9
- Docker support for managing dependencies HOT 1
- Cannot use GPU in CPU-only Caffe
- No Image received HOT 2
- Why HOG?
- gtest error HOT 2
- New File
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