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  1. Kalman-Filter-for-Sensor-Fusion Kalman-Filter-for-Sensor-Fusion Public

    A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain

    Jupyter Notebook 140 35

  2. Advance-Lane-Detection Advance-Lane-Detection Public

    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 poin…

    Jupyter Notebook 2 3

  3. Extended-Kalman-Filter-for-Sensor-Fusion Extended-Kalman-Filter-for-Sensor-Fusion Public

    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 Serie…

    Jupyter Notebook 3 4

  4. Vehicle-Detection Vehicle-Detection Public

    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 spa…

    Jupyter Notebook 1 2

  5. Unscented-Kalman-Filter-for-Sensor-Fusion Unscented-Kalman-Filter-for-Sensor-Fusion Public

    Forked from udacity/CarND-Unscented-Kalman-Filter-Project

    Unscented Kalman Filter Project.The project "unscented Kalman filter" is based on the same structure as the extended Kalman filter. It uses a main file that calls a function called Process Measure…

    C++ 1 2

  6. Particle-Filter Particle-Filter Public

    A Particle Filter algorithm which could be used to localize an autonomous system such as a UAV or a self-driving car.

    C++ 24 6