Simple lane tracking on highways

In this project, hybrid deep learning models CNN and LSTM were implemented to perform lane detection for autonomous vehicle

Project on vehycle radar data to Udacity Nanodegree on Data Science. Started on Dec, 2020.

Research Analytics Suite (RAS): An open-source platform providing free, accessible tools for scientific data analysis. RAS supports large datasets, advanced analytics, and customizable functions, ensuring flexibility and scalability for future technologies.

coding to identify lane lines on the road, first in an image, and later in a video stream

A simple script I made to quickly look up champ build for League of Legends on OP.GG

Advanced lane line fining including camera calibration

Lane detection using CNN with separate embedding and segmentation branches that yield embeddings on each lane pixel. Adopted instance segmentation approach to alleviate the issue of changing lane counts.

A novel recurrent neural network for lane detection based on LSTM. Achieved 2% improvement in accuracy and 150% reduction in inference cost on Indian Driving Dataset (IDD) over CRF-based methods

An extension of mapbox vectortile format

Advanced Lane Finding For Udacity Self driving car nanodegree

Lane and Turn Detection using Hough lines and histogram of lanes approach

Simple line detection using HoughLinesP transformation with opencv-python.

Api wrapper for my azur lane api

Just a personal repository to show current fleet composition, equipment, etc., for the mobile game Azur Lane.

C++ Lane Detection using OpenCV

Explore and Create different kind of scenarios