Name
Abstract | ||
|---|---|---|
This paper describes a system that detects barriers for wheelchair users, such as level differences and slopes on a road. The system searches out such barriers automatically and records the positions on a digital map. We have been developing the wheelchair that has a 2-D Laser rangefinder, a GPS receiver, accelerometers, rotary encoders and a sphere image camera to use it for detecting such barriers. In our system, proper prediction of condition in which a wheelchair user notices such barriers during riding it is needed. However, the detection was quite limited. In this paper, we added an apparatus, which can measure torque on right and left wheels, into our proposed system. Then the method to predict the condition referring to the torque on the wheels is discussed. |
Year | Venue | Field |
|---|---|---|
2015 | 2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | Wheelchair,Rotary encoder,Computer vision,Torque,Simulation,Accelerometer,Computer science,Wheelchair user,Artificial intelligence,Laser rangefinder,Assisted GPS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Taniue | 1 | 0 | 0.68 |
| Kaneko, J. | 2 | 2 | 3.62 |
| Kojima, K. | 3 | 0 | 2.03 |