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.

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-wavelen…

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. F…

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 tr…

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 port…

Controlling a ball on an inclined plane using a PID controller with a servo motor as an actuator.

Basketball Game Activities recognition (HAR) using Classical Machine Learning techniques and also Deep Learning algorithms and a brief comparison between them.

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.

Personal Repository

A pick and place mechanism is developed and deployed onto a Lego-ev3 manipulator robot

Tool and Part design 3D using Solidworks

Games Dev Engine

All Tutorials for the foundation of Deep Neural Networks

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 …

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