PRBonn/semantic_suma
semantic_suma
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Builder
PRBonn
PRBonn • individual
Stars
1,001
Using upstream star count
Forks
210
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
Jul 26, 2019
Project creation date
README Summary
SuMa++ is an efficient LiDAR-based semantic SLAM system that performs simultaneous localization, mapping, and semantic segmentation using 3D LiDAR data. The system extends the original SuMa approach by incorporating semantic information to create semantically annotated 3D maps while maintaining real-time performance. It was developed by the University of Bonn and published at IROS 2019.
AI Dev Skills
Unmapped
Tags
Taxonomy
AI Trends
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 2 years ago
7 Days
0
30 Days
0
90 Days
0
Quality
research- Quality
- medium
- Maturity
- research
Categories
PM Skills
Languages
Timeline
- Project created
- Jul 26, 2019
- Forked
- Mar 16, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Mar 12, 2024
Similar Repos
pgvector cosine similarity · $0
Loading…