Kaushik Goud Chandapet's Projects
Games Dev Engine
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.
The project is to estimate Time to Collision to objects on the road by fusing the LiDAR and Camera data. Yolo algorithm is used to detect objects, key-point detectors and descriptors are used to track the objects, LiDAR points are used to estimate TTC
Course Files for Complete Python 3 Bootcamp Course on Udemy
Controlling a ball on an inclined plane using a PID controller with a servo motor as an actuator.
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
C++ Data Structures
All Tutorials for the foundation of Deep Neural Networks
HTML, CSS, Vanila Javascript, jQuery Projects
Basketball Game Activities recognition (HAR) using Classical Machine Learning techniques and also Deep Learning algorithms and a brief comparison between them.
Personal Repository
A pick and place mechanism is developed and deployed onto a Lego-ev3 manipulator robot
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.
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.
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.
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 (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.
Simulate a 'Car-park routing system' using MSP430FR5969 Ultra-low-power micro Controller using all the available modules - I/O devices(buttons and LEDs), Interrupts, Timers, UART communication ports etc
Tool and Part design 3D using Solidworks
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.
The project is to implement an Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy lidar and radar measurements.