UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown

An efficient, extensible occupancy map supporting probabilistic occupancy, normal distribution transforms in CPU and GPU.

Mapping spatiotemporal patterns in an online and continuous fashion

Contains coursera robotics specialization assignment codes

Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".

Fast Gaussian process occupancy maps (GPOM) for dynamic environments using Big Data GP

Using pre-trained DL models and Transformations for generating occupancy maps. Includes some other basic deep learning tasks. Feel free to contribute.

A collection of sensor maps collected by Google's Tango Tablet, accompanied with layout maps

This repo is provided to assess the performance of OHM against several other voxel or octree based libraries.

A very crude implementation of quadtree (just for visualization purposes)

Developed and implemented all the occupancy mapping based sensor models for mobile robot mapping and successfully implemented the BKI Semantic mapping pipeline.

Metric calculator toolkit for 3D detection and object occupancy detection.