Publication/Creation Date

September 9 2015

Creators/Contributors

Hong Liu (creator)
Jun Wang (creator)
Xiangdong Wang (creator)
Yueliang Qian (creator)
Institute Of Computing Technology, Chinese Academy Of Sciences (contributor)
Beijing Natural Science Foundation (contributor)

Description

This paper proposes a novel obstacle detection and feedback system iSee based on RGB-D sensor for the blind. Firstly, a fast and robust ground detection method based on multi-scale voxel plane segmentation and geometric constraints is introduced. Secondly, the regions besides the ground area are segmented by region growing. Then an area-division based obstacle detection method is proposed, which combines the analysis of context information. Finally, a multi-level voice feedback strategy is proposed. The experimental results show the proposed system can detect and feedback obstacle information fast and robustly.

Related Body Part

Spine Torso, Chest

Augments

Feeling, Informing, Interacting, Feeling, Hearing, Walking, Moving

Technology Keywords

RGB-D Sensor , Obstacle Detection, Information Interfaces, Mini PC, Bluetooth Headset, Ground Detection, Voice Feedback Strategy, Electronic Travel Aids (ETAs), 3D Point Cloud , Historical Data Analysis (ObsD_H)

Keywords

Blind And Low Vision, Pre-release, Disabilities

Marketing Keywords

ISee, Beijing Key Laboratory Of Mobile Computing And Pervasive Device