An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
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Updated
Feb 22, 2017
An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
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.
Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance
MASK-RCNN implementation for Lyft Perception Challenge
Semantic segmentation for road detection using fully-convolutional network
This code segments out the drive-able portion of the road from the surrounding.
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
Road detection in satellite imagery using fully convolutional neural networks.
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.
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.
Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving
Record the speed of cars passing in front of the Raspberry Pi Picamera and make an exploratory data analysis with R
Scripts to process aerial imagery
Road Dataset for semantic segmentation: extracted from Indian Driving Dataset
Semantically segment the road in the given image.
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