leftthomas / Slambook
Learn 视觉slam十四讲
Stars: ✭ 95
Labels
Projects that are alternatives of or similar to Slambook
Deepseqslam
The Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-48.42%)
Mutual labels: slam
Awesome Robotics Libraries
😎 A curated list of robotics libraries and software
Stars: ✭ 1,159 (+1120%)
Mutual labels: slam
Loam velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Stars: ✭ 1,135 (+1094.74%)
Mutual labels: slam
Urbannavdataset
UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
Stars: ✭ 79 (-16.84%)
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 (-56.84%)
Mutual labels: slam
Lego Loam
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Stars: ✭ 1,138 (+1097.89%)
Mutual labels: slam
Fisheye Orb Slam
A real-time robust monocular visual SLAM system based on ORB-SLAM for fisheye cameras, without rectifying or cropping the input images
Stars: ✭ 84 (-11.58%)
Mutual labels: slam
Indoor Nav Arcore
Indoor Navigation with ARCore (From: 2018)
Stars: ✭ 62 (-34.74%)
Mutual labels: slam
Codeslam
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Stars: ✭ 64 (-32.63%)
Mutual labels: slam
Mask rcnn ros
The ROS Package of Mask R-CNN for Object Detection and Segmentation
Stars: ✭ 53 (-44.21%)
Mutual labels: slam
Minisam lib
Lightweighted graph optimization (Factor graph) library.
Stars: ✭ 86 (-9.47%)
Mutual labels: slam
Rp Vio
RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)
Stars: ✭ 50 (-47.37%)
Mutual labels: slam
Vins mono cg
注释版: Modified version of VINS-Mono (commit 9e657be on Jan 9, 2019)
Stars: ✭ 82 (-13.68%)
Mutual labels: slam
SlamBook
视觉slam十四讲学习
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].