AI Agent Skills

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…

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

Detect objects in drone videos and plot them on a map

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

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

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

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

汽车/安卓/固件/代码安全测试工具集

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

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

Use this skill when simulating vehicle motion, calculating safe following distances, time-to-collision, speed/position updates, or implementing vehicle state machines fo…

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

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

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

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

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