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Name: Guru Shetti
Type: User
Bio: Udacity Self Driving Car grad and Full Stack Web Developer
Location: Silicon Valley
Name: Guru Shetti
Type: User
Bio: Udacity Self Driving Car grad and Full Stack Web Developer
Location: Silicon Valley
Personalized AirFloat
Implementation of AirPlay audio (AirTunes) for iOS.
Adapted from Azure demo
Evaluate web beacon metrics for impact on business metrics
dentify lane lines on the road, first in an image, and later in a video stream (really just a series of images).
Model Predictive Control to drive the car around the track. This time however you're not given the cross track error, you'll have to calculate that yourself! Additionally, there's a 100 millisecond latency between actuations commands on top of the connection latency.
ROS nodes to implement core functionality of the autonomous vehicle system, including traffic light detection, control, and waypoint following! You will test your code using a simulator, and when you are ready, your group can submit the project to be run on Carla.
Used deep neural networks and convolutional neural networks to classify traffic signs. Specifically, trained a model to classify traffic signs from the German Traffic Sign Dataset.
model.py - The script used to create and train the model. drive.py - The script to drive the car. You can feel free to resubmit the original drive.py or make modifications and submit your modified version. model.h5 - The saved model. Here is the documentation explaining how to create this file. writeup_report as a markdown or pdf file. It should explain the structure of your network and training approach. The writeup must also include examples of images from the dataset in the discussion of the characteristics of the dataset. While we recommend using English for good practice, writing in any language is acceptable (reviewers will translate). There is no minimum word count so long as there are complete descriptions of the problems and the strategies. See the rubric and the writeup_template.md for more details about the expectations. video.mp4 - A video recording of your vehicle driving autonomously at least one lap around the track.
write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are available in the project repository.
write a software pipeline to identify vehicles in a video from a front-facing camera on a car. The test images and project video are available in the project repository.
Kalman filters have the same three steps: Initialization Prediction Update A standard Kalman filter can only handle linear equations. Both the extended Kalman filter and the unscented Kalman filter allow you to use non-linear equations; the difference between EKF and UKF is how they handle non-linear equations. But the basics are the same: initialize, predict, update.
implement a 2 dimensional particle filter in C++. Your particle filter will be given a map and some initial localization information (analogous to what a GPS would provide). At each time step your filter will also get observation and control data.
implement a PID controller in C++ to maneuver the vehicle around the track
catalog for lsc
personalized
Ask questions about any data source by leveraging langchains
Big tree Computer Vision Model
Course repo for UIKit Fundamentals, includes updates for Swift 2.0
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.