Obstacle Avoidance for Visually Impaired Using Auto-adaptive Thresholding on Kinect’s Depth Image
Visually impaired people need assistance to navigate safely, especially in indoor environment. This research developed an obstacle avoidance system for visually impaired using Kinect’s depth camera as the main vision device. A new approach called auto-adaptive thresholding is proposed to detect and...
Saved in:
Main Authors: | Saputra, Muhamad Risqi Utama, Widyawan, Widyawan, Santosa, Paulus Insap |
---|---|
Format: | Conference or Workshop Item PeerReviewed |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://repository.ugm.ac.id/101155/1/2014_IEEE_UIC.pdf https://repository.ugm.ac.id/101155/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universitas Gadjah Mada |
Language: | English |
Similar Items
-
Development of Kinect based robot control system with obstacle avoidance capability
by: Chew, Boon Jin
Published: (2016) -
Depth-based obstacle avoidance through deep reinforcement learning
by: Wu, Keyu, et al.
Published: (2020) -
Kinect depth map enhancement
by: Tun, Kyaw Oo.
Published: (2013) -
An obstacle avoidance system
by: Tee, Zhi Heng
Published: (2019) -
Indoor Human Tracking Application Using Multiple
Depth-Cameras
by: Widyawan, Widyawan
Published: (2012)