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Results for “unmanned-aerial-vehicle

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Showing 1-16 of 26 ranked candidates matching "unmanned-aerial-vehicle"

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1

Self Driving Vehicle

NEEDS REVIEW · 47TRUST · 71SAFE · EXPERIMENTALCODING

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 interest…

$ npx skills add Habrador/Self-driving-vehicle
461 stars37 quality71 trustExperimental3y since pushNeeds review

Scenario Coding agents

CLI + Codex · 4 targets

c#robotics
by HabradorDetailsQuick view
2

Aerialbot

PROMISING · 57TRUST · 73SAFE · REVIEWEDCODING

A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.

$ npx skills add doersino/aerialbot
233 stars39 quality73 trustReviewed with permission notes11mo since pushNeeds review

Scenario GitHub automation

CLI + Codex · 4 targets

pythongis
by doersinoDetailsQuick view
3

Dji Aerial Georeferencing

NEEDS REVIEW · 45TRUST · 69SAFE · EXPERIMENTALDESIGN

Detect objects in drone videos and plot them on a map

$ npx skills add roboflow/dji-aerial-georeferencing
335 stars36 quality69 trustExperimental3y since pushNeeds review

Scenario Multimodal media

CLI + Codex · 4 targets

javascriptmachine-learning
by roboflowDetailsQuick view
4

RCNN Vehicle Tracking Lane Detection

NEEDS REVIEW · 36TRUST · 65SAFE · BLOCKEDCODING

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

$ npx skills add tj27-vkr/RCNN-Vehicle-Tracking-Lane-Detection
127 stars33 quality65 trustBlocked for auto-install9y since pushRisky

Scenario GitHub automation

CLI + Codex · 4 targets

pythonrobotics
by tj27-vkrDetailsQuick view
5

Vehicle Detection

VERIFIEDPROMISING · 60TRUST · 76SAFE · EXPERIMENTALCODING

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

$ npx skills add tatsuyah/vehicle-detection
1.1K stars48 quality76 trustExperimental9y since pushNeeds review

Scenario GitHub automation

CLI + Codex · 4 targets

jupyter-notebookcomputer-vision
by tatsuyahDetailsQuick view
6

Aerial Autonomy Stack

STRONG · 72TRUST · 81SAFE · REVIEWEDCODING

An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson

$ npx skills add JacopoPan/aerial-autonomy-stack
527 stars50 quality81 trustReviewed1mo since pushSafe to try

Scenario Coding agents

CLI + Codex · 4 targets

c++multi-agent
by JacopoPanDetailsQuick view
7

Vehicle Counting Tensorflow

NEEDS REVIEW · 50TRUST · 72SAFE · EXPERIMENTALCODING

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

$ npx skills add ahmetozlu/vehicle_counting_tensorflow
929 stars39 quality72 trustExperimental5y since pushNeeds review

Scenario GitHub automation

CLI + Codex · 4 targets

pythoncomputer-vision
by ahmetozluDetailsQuick view
8

Vehicle Security Toolkit

NEEDS REVIEW · 48TRUST · 71SAFE · EXPERIMENTALCODING

汽车/安卓/固件/代码安全测试工具集

$ npx skills add Vu1nT0tal/Vehicle-Security-Toolkit
648 stars38 quality71 trustExperimental2y since pushNeeds review

Scenario Coding agents

CLI + Codex · 4 targets

pythonstatic-analysis
by Vu1nT0talDetailsQuick view
9

Vehicle Detection And Tracking

NEEDS REVIEW · 43TRUST · 68SAFE · BLOCKEDDESIGN

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

$ npx skills add kcg2015/Vehicle-Detection-and-Tracking
557 stars38 quality68 trustBlocked for auto-install6y since pushRisky

Scenario Multimodal media

CLI + Codex · 4 targets

pythoncomputer-vision
by kcg2015DetailsQuick view
10

SDC Lane And Vehicle Detection Tracking

NEEDS REVIEW · 39TRUST · 67SAFE · BLOCKEDDATA

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

$ npx skills add galenballew/SDC-Lane-and-Vehicle-Detection-Tracking
246 stars35 quality67 trustBlocked for auto-install6y since pushRisky

Scenario Data analysis

CLI + Codex · 4 targets

jupyter-notebookcomputer-vision
by galenballewDetailsQuick view
11

Open Quadtree Mapping

NEEDS REVIEW · 46TRUST · 71SAFE · EXPERIMENTALCODING

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

$ npx skills add HKUST-Aerial-Robotics/open_quadtree_mapping
365 stars37 quality71 trustExperimental8y since pushNeeds review

Scenario GitHub automation

CLI + Codex · 4 targets

cudarobotics
by HKUST-Aerial-RoboticsDetailsQuick view
12

Robosat

VERIFIEDEXCELLENT · 92TRUST · 88SAFE · REVIEWEDDESIGN

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

$ npx skills add mapbox/robosat
2.1K stars62 quality88 trustReviewed2mo since pushSafe to try

Scenario Multimodal media

CLI + Codex · 4 targets

pythonmachine-learning
by mapboxDetailsQuick view
13

FIESTA

NEEDS REVIEW · 49TRUST · 73SAFE · EXPERIMENTALCODING

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

$ npx skills add HKUST-Aerial-Robotics/FIESTA
802 stars39 quality73 trustExperimental7y since pushNeeds review

Scenario GitHub automation

CLI + Codex · 4 targets

c++robotics
by HKUST-Aerial-RoboticsDetailsQuick view
14

Aerostack2

STRONG · 77TRUST · 80SAFE · REVIEWEDCODING

Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.

$ npx skills add aerostack2/aerostack2
368 stars52 quality80 trustReviewed16d since pushSafe to try

Scenario GitHub automation

CLI + Codex · 4 targets

c++robotics
by aerostack2DetailsQuick view
15

Cam2BEV

NEEDS REVIEW · 49TRUST · 75SAFE · EXPERIMENTALDESIGN

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

$ npx skills add ika-rwth-aachen/Cam2BEV
788 stars39 quality75 trustExperimental1y since pushNeeds review

Scenario Multimodal media

CLI + Codex · 4 targets

pythoncomputer-vision
by ika-rwth-aachenDetailsQuick view
16

Techniques

VERIFIEDEXCELLENT · 100TRUST · 88SAFE · REVIEWEDDESIGN

Techniques for deep learning with satellite & aerial imagery

$ npx skills add satellite-image-deep-learning/techniques
10.2K stars68 quality88 trustReviewed3mo since pushSafe to try

Scenario Multimodal media

CLI + Codex · 4 targets

machine-learning
by satellite-image-deep-learningDetailsQuick view

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