Muhammad Rizwan Munawar (@muhammdrizwanmr)

Ultralytics의 YOLO26과 MovingPandas를 결합해 궤적 예측(trajectory forecasting)을 구현한 사례입니다. 단순 추적을 넘어서 속도 추정과 궤적 패턴 기반 미래 위치 예측을 수행하며, YOLO26으로 객체 감지 후 MovingPandas로 이동 데이터 처리·예측을 통합한 워크플로를 제시합니다.

https://x.com/muhammdrizwanmr/status/2032634154962333763

#ultralytics #yolo #trajectoryforecasting #movingpandas #computervision

Muhammad Rizwan Munawar (@muhammdrizwanmr) on X

Trajectory forecasting using @ultralytics YOLO26 + MovingPandas 😍 Predicting motion isn’t just about tracking; it’s about estimating velocity and projecting future positions based on trajectory patterns. Here, I combined YOLO26 with movingpandas to build a forecasting

X (formerly Twitter)

Hey #plane bubble, is there any existing solution to store #ADSB using #tar1090 toolchain for longtime playback of all the surrounding plane movements? And to query it to get all flights within certain height, time patterns, ...? Preferably something to feed trajectories into #QGIS or #movingpandas ?

#aviation #flights #sdr #gis #timeseries #airplanes

Creating animation using #Blender and Python. Garbage truck 🗑️ movement animation for Kaohsiung City from Tue, 4/15 to Thu, 4/17. Garbage collection in the city is mainly in the afternoons and evenings.
#b3d #MovingPandas

Lots of #MovementDataAnalytics on stage at #SDSC25 today 🤩
Including yours truly with @movingpandas and @qgis #Trajectools

#osgeo #qgis #movingpandas #gischat

Working on making #Trajectools faster 🏃‍♀️

First steps: https://codeberg.org/movingpandas/trajectools/issues/67#issuecomment-3966533

More improvements coming with the next #MovingPandas release

#QGIS #GISChat

Use parallel processing for stop detection

Preliminary results: ![Figure_1](/attachments/9988ae76-7cf0-47c7-8143-bbf1c039580f)

Codeberg.org
Release v0.21.3 · movingpandas/movingpandas

This is a minor release that fixes missing CRS information in ValueChangeSplitter results. What's Changed Ensure CRS of split is correct by @anitagraser in #456 Fix measure_length if conversion is...

GitHub

Today I'm at #edbticdt2025 to present MobiML, our latest contribution to facilitate #MachineLearning from movement data, building on @movingpandas, #pymeos, and others

More details:
https://github.com/movingpandas/mobiml

#MobilityDataScience #movingpandas #bmda2025

GitHub - movingpandas/mobiml

Contribute to movingpandas/mobiml development by creating an account on GitHub.

GitHub

#TSAS is hosting a special issue on #UrbanMobility this Spring. Possibly of interest to those working with #MovingPandas and similar tools.

https://maestro.acm.org/trk/click?ref=z16l2snue3_2-318b0_0x343b59x05212

#MobilityData #Mobility #UrbanData #GeoScience