An efficient and robust framework for occupancy grid mapping and Euclidean distance transform
-
Updated
Nov 22, 2020 - C++
An efficient and robust framework for occupancy grid mapping and Euclidean distance transform
Benchmarking Platform for Classic and Learned Path Planning Algorithms.
Occupancy grid mapping based on 2D Lidar data assuming perfect knowledge of a robot's trajectory.
C++ implementation of occupancy grid mapping algorithm
This repo contains the necessary Python controller files that implement navigational control logic for robots in the Webots simulation environment. The controller files, reports, and videos were created during the Fall'23 Control of Mobile Robots elective course at USF.
Map My World (project 4 of 5 from Udacity Robotics Software Engineer Nanodegree)
Add a description, image, and links to the occupancy-grid-mapping topic page so that developers can more easily learn about it.
To associate your repository with the occupancy-grid-mapping topic, visit your repo's landing page and select "manage topics."