pvishal

pvishal's Stars

• luigifreda/pyslam

  pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pipeline, and depth prediction models.

  Language:Python2k44104350

• verlab/accelerated_features

  Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

  Language:Jupyter Notebook1.1k2274117

• DoongLi/awesome-Implicit-NeRF-SLAM

  A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites

  1k62768

• url-kaist/dynaVINS

  DynaVINS : A Visual-Inertial SLAM for Dynamic Environments

  Language:C++354141651

• Zhefan-Xu/CERLAB-UAV-Autonomy

  [CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

  Language:C++35032948

• alexstoken/image-matching-models

  Code to easily try 30 (and growing) different image matching methods

  Language:Jupyter Notebook32671326

• Yixin-F/better_fastlio2

  Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025 submittion) + real-world application (MD-LVIO)

  Language:C++2354435

• MIT-SPARK/KISS-Matcher

  2233917

• gisbi-kim/navtech-radar-slam

  Real-time Radar SLAM: ORORA + ScanContext

  Language:C++2187539

• dhchung/nv_liom

  LiDAR-Inertial Odometry and Mapping using Normal Vectors Towards Robust SLAM in Multifloor Environments

  Language:C++21521319

• YibinWu/LIO-EKF

  Maybe the simplest LiDAR-inertial odometry that one can have.

  Language:C++17619620

• nianticlabs/doubletake

  [ECCV 2024] DoubleTake: Geometry Guided Depth Estimation

  Language:Python1674412

• ZikangYuan/dynamic_lio

  A LiDAR-inertial odometry for dynamic environments.

  Language:C++14221013

• ISAE-PNX/SaDVIO

  Sparsify and Densify Visual Inertial Odometry

  Language:C++123365

• ethz-asl/rio

  Graph-based, sparse radar-inertial odometry estimation

  Language:C++1081067

• DCSI2022/AFLI_Calib

  AFLI-Calib: Robust LiDAR-IMU extrinsic self-calibration based on adaptive frame length LiDAR odometry

  Language:C++94038

• MigVega/SLAM2REF

  This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).

  Language:C++94212

• HKUST-Aerial-Robotics/SLIM

  841602

• smartroboticslab/okvis2

  Open Keyframe-based Visual-Inertial SLAM (Version 2)

  Language:C++812413

• soblin/matplotlibcpp17

  Alternative to matplotlibcpp with better syntax, based on pybind

  Language:C++7641713

• PRBonn/ipb_calibration

  Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment

  Language:Python41130

• udaysankar01/xfeat_cpp

  The C++ Implementation of XFeat (Accelerated Features).

  Language:C++39211

• cntaylor/factorGraph2DsatelliteExample

  An example comparing EKF, factor graphs, and sliding window factors. Used for a paper in the Navigation journal.

  Language:Python21114

• hz658832/gnssFGO

  This is the official repo of the project gnssFGO.

  Language:C++21101

• utiasASRL/constraint_learning

  Automatically generate all constraint matrices for (lifted) QCQP problems.

  Language:Python960

• Jianxff/rd_vio

  robust visual-inertial odometry, separated from openxrlab-xrslam

  Language:C++8121

• EZXR-Research/ezvio

  reimplementation of hybrid MSCKF 2.0

  7800

• pypose/slambook-snippets

  PyPose examples in the SLAM Handbook

  Language:Jupyter Notebook7200

• l00p3/SLucAM

  Language:C++5100

• jetd1/dav2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3