Self-Supervised Learning for Visual Obstacle Avoidance
Overview & Synopsis
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.
Indexed from repository: Directory of Open Access Books
(
www.doabooks.org)
Document Information
| Document Title | Self-Supervised Learning for Visual Obstacle Avoidance |
|---|---|
| Author / Organization | van Dijk, Tom |
| Subject & Discipline | computer vision |
| Categories | Open Access Books |
| Publication Year | 2025 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-138099 |
| Original Source Link | Visit Source Page on www.doabooks.org » |