GitHub / Apiquet / DepthEstimationAnd3dMapping
The goal of this project is to build a robot capable of mapping its environment in a 3D simulation view. It uses a neural network for depth estimation deployed on a Jetson Nano. The Jetson is also connected to an Arduino Nano to get the gyro data from its IMU to project the depth values in a 3D world based on the orientation of the robot.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Apiquet%2FDepthEstimationAnd3dMapping
PURL: pkg:github/Apiquet/DepthEstimationAnd3dMapping
Stars: 9
Forks: 1
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 182 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: about 2 years ago
Pushed at: almost 4 years ago
Last synced at: almost 2 years ago
Topics: 3d, 3d-mapping, arduino, computer-vision, depth-estimation, jetson, jetson-nano, robotics, tensorflow, tf