Vision-Based Obstacle Avoidance Strategies for MAVs Using Optical Flows in 3-D Textured Environments
Due to payload restrictions for micro aerial vehicles (MAVs), vision-based approaches have been widely studied with their light weight characteristics and cost effectiveness. In particular, optical flow-based obstacle avoidance has proven to be one of the most efficient methods in terms of obstacle...
Main Authors: | Gangik Cho, Jongyun Kim, Hyondong Oh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/11/2523 |
Similar Items
-
Computationaly Simple Obstacle Avoidance Control Law for Small Unmanned Aerial Vehicles
by: Cieśluk Jakub, et al.
Published: (2015-03-01) -
Monocular vision-based obstacle avoidance for Micro Aerial Vehicles
by: Karlsson, Samuel
Published: (2020) -
Autonomous Quadrotor Navigation With Vision Based Obstacle Avoidance and Path Planning
by: Huei-Yung Lin, et al.
Published: (2021-01-01) -
Self-Supervised Learning for Visual Obstacle Avoidance Technical report
Published: (2022) -
Reactive Collision Avoidance Algorithm for UAV Using Bounding Tube Against Multiple Moving Obstacles
by: Jongho Park, et al.
Published: (2020-01-01)