Self-Supervised Learning for Visual Obstacle Avoidance Technical report
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Delft
TU Delft Open
2022
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_128141 | ||
| 005 | 20231124 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20231124s2022 xx |||||o ||| 0|eng d | ||
| 020 | |a mg.19 | ||
| 020 | |a 9789463665094 | ||
| 020 | |a 9789463665094 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.34641/mg.19 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a T |2 bicssc | |
| 100 | 1 | |a van Dijk, Tom |4 auth | |
| 245 | 1 | 0 | |a Self-Supervised Learning for Visual Obstacle Avoidance |b Technical report |
| 260 | |a Delft |b TU Delft Open |c 2022 | ||
| 300 | |a 1 electronic resource (48 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology, engineering, agriculture |2 bicssc | |
| 653 | |a computer vision | ||
| 653 | |a stereo vision | ||
| 653 | |a monocular depth estimation | ||
| 653 | |a obstacle avoidance | ||
| 653 | |a self-supervised learning | ||
| 653 | |a unmanned aerial vehicles | ||
| 653 | |a micro aerial vehicles | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://books.open.tudelft.nl/home/catalog/view/19/29/120 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/128141 |7 0 |z DOAB: description of the publication |