Dynamic 3D Path Planning with Computer Vision & Depth Mapping

Overview This project is a real-time path planning assistant that utilizes computer vision and depth mapping to construct dynamic 3D maps. It is designed to assist in navigation and obstacle avoidance by continuously analyzing the environment and updating the path accordingly.

Features ✅ Real-time 3D Mapping – Uses depth sensors to dynamically construct a 3D representation of the environment. ✅ Computer Vision Integration – Leverages image processing for object detection and scene understanding. ✅ Dynamic Path Planning – Continuously updates paths to avoid obstacles and optimize navigation. ✅ Adaptive & Scalable – Can be adapted for robotics, autonomous vehicles, and AR/VR applications.

Technologies Used OpenCV – Image processing & computer vision. Depth Sensors ( RGB-D Camera) – Capturing depth data. PCL (Point Cloud Library) – For processing 3D spatial data. Machine Learning/AI (Optional) – For advanced object recognition & decision-making.

Use Cases 🚀 Autonomous Robots – Enables real-time navigation for robots in unknown environments. 🚘 Self-Driving Vehicles – Assists in obstacle detection & avoidance. 🎮 AR/VR Applications – Helps in interactive spatial mapping. 🏗 Construction & Inspection – Assists in monitoring dynamic environments.