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Here, I implemented a CNN with a Maximally Stable Extrema Region (MSER) algorithm to find home numbers. An image is taken as an input, and the home numbers, in the correct sequence, are returned as the output. 

Tags: Python, PyTorch, OpenCV

 This project used a particle filter to account for variations in size and location in the image of the template given. 

The template adapted as time progresses in the image via an tunable "alpha" parameter,  which updates the template slightly with the current expected location of the template within the image. 

A Kalman filter was also used to help the tracking algorithm with occlusions.  

Tags: Python,  OpenCV

Tags: Python,  OpenCV

Description

This project used a Particle Filter to track an object moving counterclockwise in a 2D solar system with a central sun and occasional planets when only given the gravity e. The goal was to estimate its trajectory despite noisy observations and motion uncertainties.

The system simulated the object's orbit, influenced by gravity and planetary perturbations. The Particle Filter maintained a set of weighted particles representing possible states, evolving through prediction, update, and resampling.

 This implemented the A* search algorithm to determine the optimal path for the robot to pick up and retu A* search involves expanding nodes based on a cost function that combined the actual movement cost and a heuristic estimate of the remaining distance. The algorithm prioritizes paths with the lowest estimated total cost, ensuring an efficient and collision-free route. If an obstacle was encountered, the algorithm adjusted the plan, recalculating a new optimal path to reach the destination.  

Description

Description

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