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About Deep Convolutional Neural Network-Based Autonomous Drone Navigation
Deep Convolutional Neural Network-Based Autonomous Drone Navigation This paper proposes a system for autonomous drone navigation along predetermined paths using only visual input from an onboard camera, without relying on GPS. A deep CNN is trained on images and drone steering commands to map images to control outputs. Multiple navigation paths are used to augment the training data and improve generalizability. The trained model enables GPS-denied and interference-robust drone navigation using only visual data.
Detailed Information
| Author: | ['evasat111'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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