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.

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

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.

Simple lane tracking on highways

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

Research Analytics Suite (RAS): A collection of tools developed in Python with a focus on the aggregation and analysis of scientific data deriving from a multitude of input sources across professional and academic research projects.

Road design tool for UnrealEngine

Simple line detection using HoughLinesP transformation with opencv-python.

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

Api wrapper for my azur lane api

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

Explore and Create different kind of scenarios