bryan-rathos Goto Github PK

advanced-lane-finding

behavioral-cloning

• Built and trained a CNN for steering angle prediction of an autonomous vehicle using end-to-end learning to mimic human driving behavior. Model was build using Keras framework and trained with RGB images on AWS EC2. • Performed data augmentation, pre-processing, and subsampling to make the model robust on unseen track data.

carnd-capstone

carnd-kidnapped-vehicle-project

Particle filter implementation for vehicle localization

carnd-mercedes-sf-utilities

Tools for Sensor Fusion processing.

carnd-mpc-project

CarND Term 2 Model Predictive Control (MPC) Project

carnd-mpc-quizzes

CarND MPC Quizzes

carnd-object-detection-lab

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-pid-control-project

carnd-semantic-segmentation

carnd-unscented-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

coding-interview-arena

Coding interview questions

cpp-overview

:blue_book: A tour about C++ with source code examples

cs231n.github.io

Public facing notes page

extended-kalman-filter-project

Self-Driving Car Nanodegree Program Extended Kalman Filter Project

fast-model-predictive-control

Fast Model Predictive Control using the Primal Barrier Method

learnopencv

Learn OpenCV : C++ and Python Examples

mono-stereo-visual-odometry

Stereo and mono visual odometry Open folder mono for 2D-2D monocular visual odometry implementation and folder stereo for 3d-2d stereo visual odometry implementation

mxnet_tutorial

Using Mxnet!!!!

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

obstacle-avoidance-in-dynamic-environment

performancetricksmxnetgluon

A repository for a presentation on debugging and performances tricks with MXNet Gluon

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-examples

Simple examples to introduce PyTorch

self-driving-car-sim

A self-driving car simulator built with Unity

sfnd_2d_feature_tracking

Mid-way progress of the 3D tracking project. This repo contains exhaustive comparisons of the detector+descriptor combinations with respect to number of features detected and time taken for execution of the combination.

sfnd_3d_object_tracking

Tracking 3D bounding boxes and computing Time To Collision based on LIDAR and camera.

sfnd_lidar_obstacle_detection

• Developed point cloud object detection pipeline and implemented RANSAC for segmentation, KD-Tree and Euclidean clustering algorithms from scratch. • Verified results of segmentation and clustering with PCL functions and used PCL visualizer for displaying the results for both the methods.

sfnd_radar_target_generation_and_detection

Implementation of Radar target generation and detection using 2D FFT to form Range Doppler Map and 2D CA-CFAR technique for noise suppression.