Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Semantically segment the road in the given image.

A Pytorch implementation of DeepCrack and RoadNet projects.

RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.

Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

MASK-RCNN implementation for Lyft Perception Challenge

This code segments out the drive-able portion of the road from the surrounding.

Road detection in satellite imagery using fully convolutional neural networks.

Semantic segmentation for road detection using fully-convolutional network

This repository is the implementation of the "Bilateral Segmentation Network for Real-Time Semantic Segmentation" paper by Changqian Yu et al. which was published in ECCV 2018.

This Project is Semantic Segmentation Project of Term 3 of Udacity Self-Driving Car Engineer Nanodegree.

An autonomous navigation system for drones in both urban and rural environments.

A Flask Application deployed over Google Cloud Platfrom to perform Advanced Lane Detection on Road Images which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines.

Implementation of paper "Random-Walker Monocular Road Detection in Adverse Conditions Using Automated Spatiotemporal Seed Selection"

This is a project to detect road signs using the Viola and jones Algorithm.

Keypoint detection matlab demo

This repository contains codes and DL model for improving and analysing Indian transport infrastructure