ydsf16 / Particle_filter_localization
Licence: gpl-3.0
Particle filter-based localization in an occupancy grid map.
Stars: ✭ 63
Labels
Projects that are alternatives of or similar to Particle filter localization
Gms Feature Matcher
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
Stars: ✭ 797 (+1165.08%)
Mutual labels: slam
Rp Vio
RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)
Stars: ✭ 50 (-20.63%)
Mutual labels: slam
Lio Sam
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Stars: ✭ 953 (+1412.7%)
Mutual labels: slam
Visma Tracker
semantic mapping module of vision lab slam system
Stars: ✭ 21 (-66.67%)
Mutual labels: slam
2d Slam By Nonlinear Optimization
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。
Stars: ✭ 41 (-34.92%)
Mutual labels: slam
Gradslam
gradslam is an open source differentiable dense SLAM library for PyTorch
Stars: ✭ 833 (+1222.22%)
Mutual labels: slam
Kitti groundtruth
Ground Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition
Stars: ✭ 23 (-63.49%)
Mutual labels: slam
Open vins
An open source platform for visual-inertial navigation research.
Stars: ✭ 805 (+1177.78%)
Mutual labels: slam
Deepseqslam
The Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-22.22%)
Mutual labels: slam
Kimera Vio
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Stars: ✭ 741 (+1076.19%)
Mutual labels: slam
Pepper Robot Programming
Pepper Programs : Object Detection Real Time without ROS
Stars: ✭ 29 (-53.97%)
Mutual labels: slam
Mask rcnn ros
The ROS Package of Mask R-CNN for Object Detection and Segmentation
Stars: ✭ 53 (-15.87%)
Mutual labels: slam
Defslam
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel
Stars: ✭ 36 (-42.86%)
Mutual labels: slam
Particle Filter Localization
Particle filter-based localization in an occupancy grid map.
For details, please refer to:https://zhuanlan.zhihu.com/p/43523632
Dataset:https://pan.baidu.com/s/1j_SSEtaq7D0XwaED0Jg4Ew
Demo
STEP1. Download the repository to your ROS workspace:catkin_ws/src
STEP2. Make:catkin_make
STEP3. Run: roslaunch particle_filter_localization pf_localization.launch
STEP4. Play a rosbag: rosbag play laser1_2018-07-14-17-31-41.bag -r 2
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].