Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: 4wids-vehicle

英語版ディレクトリ

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

3.3K
Stars
83/100
信頼
カテゴリ: education監査

Vehicle and mobile robotics simulator. C++ & Python API. Use it as a standalone application or via ROS 1 or ROS 2

404
Stars
69/100
信頼
カテゴリ: robotics-iot監査

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

1.1K
Stars
68/100
信頼
カテゴリ: robotics-iot監査

Develop art direction for image generation with curated style cards distilled from Open Image Prompts. Use when choosing or comparing visual directions, improving an existing generation prompt, or translating a subject, use case, or supplied image into a compact creative spec. Use img-gen-prompts for real archive examples, exact source prompts, or gallery browsing.

224
Stars
64/100
信頼
カテゴリ: research監査

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

929
Stars
64/100
信頼
カテゴリ: robotics-iot監査

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

788
Stars
67/100
信頼
カテゴリ: robotics-iot監査

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

557
Stars
60/100
信頼
カテゴリ: robotics-iot監査

🚗 Swift OBD2: Real-time vehicle diagnostics made simple. Read live data, clear trouble codes, and build custom automotive apps. Bluetooth/WiFi ready with built-in testing emulator.

147
Stars
67/100
信頼
カテゴリ: coding-agents監査

Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

461
Stars
63/100
信頼
カテゴリ: robotics-iot監査

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

344
Stars
64/100
信頼
カテゴリ: ml-automation監査