Shehryar's repositories
loam_features
This ROS package is re-arranges the PCL in scan-wise manner and extract sharp/corner and flat/plane features. The scan re-arrangement and feature extraction are similar to LOAM package.
cpp-cheat-sheet
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
DenseSurfelMapping
This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"
evo
Python package for the evaluation of odometry and SLAM
fbow
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
image_undistort
A compact package for undistorting images directly from kalibr calibration files. Can also perform dense stereo estimation
kalibr_allan
IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.
LARVIO
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
lio-mapping
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
loam_livox
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
mav_tools_public
General launch files, parameters and wiki entries on our systems and related issues
mono_lidar_depth
For extract depth from lidar for mono feature matches
ndt_omp
Multi-threaded and SSE friendly NDT algorithm
odom_predictor
Integrates an IMU to predict future odometry readings
open_vins
An open source platform for visual-inertial navigation research.
pronto-distro
Pronto is an efficient EKF state estimator for inertial and sensory motion estimation
pronto_core
Pronto core libraries, ROS wrapper and messages
rpg_trajectory_evaluation
Toolbox for quantitative trajectory evaluation of VO/VIO
Tensorflow-in-Practice-Specialization
Tensorflow-in-Practice-Specialization