Unscented Kalman Filter implementation for tracking cars on the highway

Project to implement Lidar Point Cloud Data processing to detect obstacles

Using the Lidar and Camera data for 3D object tracking

In this project, an Unscented Kalman Filter was utilized to estimate the state of a moving object of interest with noisy lidar and radar measurements. Passing the project required obtaining RMSE va…

The objective of the project is to perform Sensor Fusion between radar and lidar data to estimate the position of a bicycle following the vehicle using Extended Kalman Filter.

This is a Computer Vision project: Advanced Lane Finding for a Self Driving Car. The project uses Sobel gradients along the x-direction and colour thresholding in the HSV domain among other techniq…

This is a computer vision project to use HOG feature extraction and machine learning to detect cars. It uses SVM machine learning algorithm. The pipeline was implemented on a video taken on the roa…

The project is a part of Computer Vision. OpenCV library was used to detect lanelines on the road for a self driving car.

This project was the most fun and is my favourite. It uses Deep Learning algorithm for training of the self driving car around a virtual track. The car is trained manually first and then allowed to…

This project is on traffic sign classification using Python OpenCV and TensorFlow library for a Self Driving Car. A Deep Learning Architecture was developed using TensorFlow to identify the feature…