文件列表:

LICENSE (11219, 2018-10-13)
project.clj (642, 2018-10-13)
resources/ (0, 2018-10-13)
resources/telemetry-message.txt (17341, 2018-10-13)
src/ (0, 2018-10-13)
src/pid_control/ (0, 2018-10-13)
src/pid_control/core.clj (4835, 2018-10-13)
test/ (0, 2018-10-13)
test/pid_control/ (0, 2018-10-13)
test/pid_control/core_test.clj (3770, 2018-10-13)

# CarND PID Control [](http://www.udacity.com/drive) Self-Driving Car Engineer Nanodegree Program --- Clojure version of Udacity's PID controller project from term 2 of the self-driving car engineer nanodegree. This repository is intended to serve as starter code for other students who wish to complete the project in Clojure. ## Why Clojure? The most common choices for self-driving car development are C++ and Python. [Clojure](https://clojure.org/) supports a faster development style than either of these languages (especially C++). Compared to C++, Clojure has a much simpler and more flexible syntax, clear error handling, and sophisticated dependency management. Compared to Python, Clojure is much faster (close to C++) and has excellent concurrency support. Here's a [tutorial](https://www.maria.cloud/) to help you get started. ## Installation You will neeed to install [Leiningen](https://leiningen.org/), a Clojure build tool. This is a fairly easy installation process. Just follow the instructions on the [Leiningen](https://leiningen.org/) website. I also recommend [VS Code](https://code.visualstudio.com/) with the [Calva extension](https://marketplace.visualstudio.com/items?itemName=cospaia.clojure4vscode) as your first Clojure text editor because it is very easy to install and use. Later, you can explore more advanced options like [Cursive (IntelliJ)](https://cursive-ide.com/), [CIDER (Emacs)](https://github.com/clojure-emacs/cider), or [Vim](https://github.com/tpope/vim-fireplace). ## Usage You'll find many TODO comments in src/pid_control/core.clj indicating parts of the code that you will need to complete. You are encouraged to run the automated tests frequently to confirm that your changes work correctly. $ lein test When the code is complete, you can run it with the following command. You should also run [Udacity's term 2 simulator](https://github.com/udacity/self-driving-car-sim/releases) at the same time and select the "PID Control" project. $ lein run Try to choose values for the P, I, and D parameters so that the car drives as smoothly as possible. Once the car is driving smoothly, try slowly increasing the car's speed to see how high you can go. ## Solution You should complete this project on your own first. After you've completed the project, you can review [my solution](https://github.com/ericlavigne/CarND-PID-Clojure/compare/solution) to see how it compares. ## License Copyright 2018 Eric Lavigne Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：