kartikmadhira1
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A collection of AI/ML articles, guides and projects.
A modular active learning framework for Python
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
Stereo Algorithms (Include:CREStereo,RAFT-Stereo,Hitnet,FastACVNet_plus,Stereo Transformers,RealtimeStereo,DistDepth) with TensorRT,ORT,OpenVINO
Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Implementations of BRIEF Descriptor and Matching
A fast BRIEF Implementation for 256-dimensional 64-bit Binary Descriptors
FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
Code for my medium article
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
The English version of 14 lectures on visual SLAM.
A tutorial describing design patterns useful when writing computer vision programs in C++, running on Raspberry PI, Windows, Mac OS X and Linux.
A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course dem…
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
This Repository is implementation of majority of Semantic Segmentation Loss Functions
This is Andrew NG Coursera Handwritten Notes.
LOL: Lidar-only Odometry and Localization in 3D point cloud maps