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Hi, I am Kaushik. I am Mechatronics Graduate student passionate about autonomous driving and robotics and gained Knowledge in AI, Sensorics, Computer vision, Machine learning, and Deep Learning. Please find some of projects below.

Also, Reach me at https://www.linkedin.com/in/kaushik4444/

Kaushik Goud Chandapet's Projects

camera-based-2d-feature-tracking icon camera-based-2d-feature-tracking

This project code recognizes and visualizes 2D features in Camera images. The images are captured in real-time traffic scenario. The project gives options for key-point detectors and descriptors. Feel free to clone and execute the repo.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

lidar-object-detection icon lidar-object-detection

This project is to detect 3D objects in a continuous stream of LiDAR point clouds. The code is functional to any type of OpenCV point cloud point types. Feel free to clone and execute the repo.

mobile-robotics-control-and-simulation icon mobile-robotics-control-and-simulation

The 5 basic principles of Robotics namely, Kinematics, Locomotion, Perception, Localization, and both planning and navigation have been used to operate various mobile robots in multiple Simulation Environments.

ppgraw icon ppgraw

DATA'20 - PPGraw is an analytical tool for the quality review of raw photoplethysmography (PPG) signals, based on 7 multi-varied decision metrics. It has been applied in the review of 10 publicly available photoplethysmography datasets.

radar-target-generation-and-detection icon radar-target-generation-and-detection

In this project, an FMCW RADAR is configured. The transmitted and received signals are processed using FFT and CFAR to determine the range and velocity of the target

remote-photoplethysmography-to-monitor-human-cardiac-activities-using-commercial-webcams icon remote-photoplethysmography-to-monitor-human-cardiac-activities-using-commercial-webcams

Remote photoplethysmography (rPPG) is a contactless method to monitor human cardiac activities by detecting the pulse-induced subtle color variations on the human skin surface using a multi-wavelength RGB camera. By measuring the variance of red, green, and blue light reflection changes from the skin, as the contrast between specular reflection and diffused reflection.

stereo-vision icon stereo-vision

This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.

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