Abhinav Gupta's repositories
mobile_robotics
Codes for the EECE_5552 Assisgnments (Fall 2021, Northeastern University)
awesome-lane-detection
A paper list of lane detection.
bebop-eece5550
Working repository for Team Bebop in EECE-5550 Mobile Robotics at Northeastern University.
EECE5554_RoboticSensingAndNavigation
Code repo for assignments in the Spring 22 edition of Robotics Sensing and Navigation at Northeastern University
Complex-YOLOv4-Pytorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
DL4CVStarterBundle
Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock
ED_Lib
Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
kitti-pcl
Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL
KITTI_Tutorial
Tutorial for using Kitti dataset easily
lane_detection_advanced_sliding_windows
Lane detection for ADAS application with sliding windows technics
open-source-rover
A build-it-yourself, 6-wheel rover based on the rovers on Mars!
opencv
Open Source Computer Vision Library
PythonRobotics
Python sample codes for robotics algorithms.
rfid_locatron
Assistive Robotics project to locate missing objects in a predefined space.
sklearn_tutorial
Materials for my scikit-learn tutorial
tintindas
Custom profile for tintindas
Udacity-Advance-Lane-detection-of-the-road
Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.