Work

Advanced Obstacle Avoidance in Walking Aids: Overcoming the Challenges of Low-Lying Obstacles with Deep Learning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)

DOI: 10.1109/rasse64357.2024.10773936

Authors: Yu-Shao Kao, Shih-Ting Wang, I-Hsum Li

Institutions: Tamkang University, National Chung Hsing University

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405103357

FWCI: 0.229

Cites: 13

Cited by: 1

Related to: 10