Name: Abhijit Mahalle
Type: User
Company: Stellantis
Bio: Software Engineer at Stellantis.
Computer Vision, Machine Learning, and Robotics Software Development
Location: Detroit Metropolitan Area
Blog: https://abhijitmahalle.github.io
Abhijit Mahalle's Projects
Program to solve 8-puzzle problem using Breadth First Search (BFS)
Implementation of A* algorithm to find a collision-free path for a point robot
Implementation of A* algorithm on ROS Turtlebot
Personal description
Code to superimpose an image over an April Tag and draw a virtual cube on it.
Implementation of CMAC Architecture
Steering control for autonomous vehicle using CNN
Simple cpp boilerplate with cmake and gtest
Developed a ROS software package for a domestic decluttering robot that scans the house floor for a specific object using Lidar, picks the object, and places it at a pre-defined location.
Implementation of Dijkstra's algorithm to find a collision-free path for a point robot
Python implementation of an end-to-end pipeline for swapping faces from images and videos using classical and deep learning approach
LQR and LQG control for gantry crane with 2 connected masses
Implementation of classical Machine Learning algorithms for digit recognition on MNIST dataset
Implementation of histogram equalization and adaptive histogram equalization for image enhancement.
Program to stitch two images
Implementation of k-means algorithm for image segmentation
Project to detect straight and curved lanes and predict the turn
Implementation of research paper "Lateral Control of an Autonomous Vehicle." A controller is designed to control the lateral movement of autonomous vehicles on straight and curved roads using the principle of feedforward, backstepping, and preview point.
Designed a simple 3D model of Curiosity Rover in SolidWorks with a 5-DOF KUKA KR5 manipulator attached to its body, and spawned and controlled the robot in ROS using appropriated controllers.
3D Position estimation and tracking of multiple humans using single monocular camera.
Leveraging optical flow to detect, track and measure the speed of the moving vehicle
Panoramic image stitching using traditional and deep learning approach