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Kalman-Filter-for-Sensor-Fusion
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertainParticle-Filter
A Particle Filter algorithm which could be used to localize an autonomous system such as a UAV or a self-driving car.Semantic-Segmentation-for-Kitti-Dataset
Traffic-Sign-Classifier
This is a Classifier Algorithm that can classify German Traffic-Signs. It uses the good old convolution network inspired by the Nvidia Model used in their self-driving car.Extended-Kalman-Filter-for-Sensor-Fusion
Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) is required to transform and work optimally.Advance-Lane-Detection
An Algorithm to detect the Lane by a autonomous car using image processing such as Sobel, Threshold and Hough Transform. the ROI is fit by calculating the radius of curvature by choosing three points on the lane and fittting a second order polynomialGPS_to_Local_Coordinates
GPS coordinates to Local Coordinates ConversionVehicle-Detection
This Algorithm could help us detect and classify the vehicle on road. It implements an SVM in the backend to classify the Vehicle and non-Vehicle objects on the road. It also uses various color spaces and Hog channels to extract the featuresLove Open Source and this site? Check out how you can help us