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About Autonomous Drone Navigation With Deep Learning: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith
The document describes research into using deep learning for autonomous drone navigation along forest trails. A deep neural network called TrailNet was developed that takes images from the drone's camera as input and outputs steering commands. TrailNet was trained on datasets containing thousands of labeled images from forest trails. Testing showed the drone could autonomously navigate over 250 meters of forest trail at 3 meters per second using only TrailNet for navigation. Various deep learning models were evaluated and a customized ResNet-18 achieved the best results with 100% autonomous navigation.
Detailed Information
| Author: | ['sifou'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 35 |
| Language: | English |
| Format: | |
| Price: | FREE |
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