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Name: Ganesh Setty Raghavan
Type: User
Bio: Accomplished embedded multimedia software engineer with passion on vision-based deep learning applications in self-driving car.
Location: Bangalore,India
Name: Ganesh Setty Raghavan
Type: User
Bio: Accomplished embedded multimedia software engineer with passion on vision-based deep learning applications in self-driving car.
Location: Bangalore,India
Advanced Lane Finding
The project is about cloning the driving behavior by training a convolutional neural network (CNN) to map raw pixels from a single front-facing center camera directly to steering commands.
Self-Driving Car Nanodegree Program solution for the Extended Kalman Filter Project.Using EKF estimate the position and velocity of object being tracked using measurements from LIDAR and RADAR
Lane Finding Project for Self-Driving Car ND
CarND Term 2 Model Predictive Control (MPC) Project. Implemented Model Predictive Control to drive the car around the track
Create a path planner that is able to navigate a car safely around a virtual highway
Implementing PID controller to control car in a simulator. Uses automatic tuning of PID controller parameters using twiddle algorithm.
Semantic segmentation using Fully Convolutional Network(FCN) to detect road
Classify Traffic Signs.
Self-Driving Car Nanodegree Program solution for the Unscented Kalman Filter Project. Implemented an unscented Kalman filter using the CTRV motion model to estimate the position and velocity of the bicycle being tracked using Laser and Radar measurements
Vehicle Detection Project
sample repo
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