Python package for the evaluation of odometry and SLAM
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Updated
Nov 12, 2025 - Python
Python package for the evaluation of odometry and SLAM
Movement trajectory classes and functions built on top of GeoPandas
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Official github page of UCF SST CitySim Dataset
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Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
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The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.
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smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
View proteins and trajectories in the terminal
The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
Full port of pantor ruckig library (Community version) to IEC 61131-3 Structured Text. Online Trajectory Generation. Real-time. Time-optimal. Jerk-constrained.
Trajectopy - Trajectory Evaluation in Python
Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.
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