Python · MIT
PRBonn/LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
★ 693
Stars
112 forks · 15 open issues
—
Growth · stale
We stopped seeing this repository in its topic's top results, so its star count is frozen at the date it was last read. Subtracting from a frozen number would read as zero growth, which would be false, so no rate is shown.
8.2
Momentum / 100
see the breakdown below
5y ago
Created
last push 3y ago
Star history
Only 1 snapshot so far — we started watching
this repository on 2026-10-29.
The chart appears once there are two days to compare.
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | — — no measurable rate |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 3y ago; decays to zero at 180 days |
| Scale | 15 | 8.2 | 693 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 8.2 | capped at 35 because growth is unmeasured |
Detail
| Topics | deep-learningdeep-neural-networksdynamic-slamlidarlidar-slammappingmotion-detectionmoving-object-segmentationpoint-cloudsegmentationslam |
| Matched on | Robotics (slam) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | no snapshot 14–45 days old yet |
| Lifetime average | 0.35 stars/day over 1,964 days |
| First seen here | 2026-10-29 |
| Last read | 9d ago |