Explore and Create different kind of scenarios

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.

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.

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

Simple line detection using HoughLinesP transformation with opencv-python.

Advanced Lane Finding For Udacity Self driving car nanodegree

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

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

Lane Detection System using OpenCV and Python

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

Simple Autonomous Car using raspberry pi

A model on lane detection has been developed with the data set we have created.

A paper list with code of lane detection.

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022