Name
Title | ||
|---|---|---|
Corridor Segmentation for Automatic Robot Navigation in Indoor Environment using Edge Devices |
Abstract | ||
|---|---|---|
•·We have designed a novel stack for corridor segmentation in the indoor environment for a robot with visionary perception.•The proposed corridor segmentation approach is based on edge detection, binary region classification, and Regionprop techniques.•The proposed approach has been deployed to resource-constrained real-time edge device: 64-bit Raspberry Pi3 Model B+ based ground robot.•We have created a dataset of a variety of illumination conditions and performed a qualitative analysis to know the best and limitation of the proposal. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.comnet.2020.107374 | Computer Networks |
Keywords | DocType | Volume |
Path,Robot,Indoor navigation,Computer vision,Lane detection,Freespace detection | Journal | 178 |
Issue | ISSN | Citations |
C | 1389-1286 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Surbhi Gupta | 1 | 0 | 0.34 |
| Sangeeta R | 2 | 0 | 0.34 |
| Ravi Shankar Mishra | 3 | 0 | 0.34 |
| gaurav singal | 4 | 20 | 3.49 |
| Tapas Badal | 5 | 1 | 1.73 |
| Deepak Garg | 6 | 10 | 1.34 |