Mapping a 500 m² Indoor Environment Using SlamToolbox and TurtleBot: 2D SLAM, SLAM parameter tuning

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

ROBOSCAN NSL-3130AA ROS1 DEMO

This is a comprehensive project focused on implementing popular algorithms for state estimation, robot localization, 2D mapping, and 2D & 3D SLAM. It utilizes various types of filters, including the Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter.

Mini SLAM ( Simultaneous Localization and Mapping )

Least Squares optimization of a 2D -Range Only- SLAM problem.

A Robot Simuation using Gazebo of a custom Home Robot that maps its environment using rtapmap to produce a 2d and 3d maps.

2D based Indoor SLAM and Autonomous Navigation using a Terrain ROBOT

Stitching and fusion of 4 pairs of on-board surround view fisheye simulation image sequences, odometer estimation and output of large pixel maps.

Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively

Code base for Starline competition

基于非线性优化的2Dslam仿真，实践前端数据关联，滑动窗口法，LM优化，FEJ。