Explore
Self-Supervised Learning for Visual Obstacle Avoidance
Tom van Dijk
2022
0 Ungluers have
Faved this Work
Login to Fave
With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 15 times via unglue.it ebook links.
- 15 - pdf (CC BY-NC-ND) at Unglue.it.
Keywords
- Computer vision
- micro aerial vehicles
- monocular depth estimation
- obstacle avoidance
- self-supervised learning
- stereo vision
- Technology, engineering, agriculture
- unmanned aerial vehicles
Links
DOI: 10.34641/mg.19Editions