Abstract
Wide Angle Fovea (WAF) sensor acquires images having both high resolution and wide angle simultaneously. Such an image is quite applicable for multi-purpose use of the single vision sensor. When the WAF sensor is equipped on a planetary exploring rover, it influences intuitively to the basic design and model of the rover which needs to be autonomous strongly. In this paper, the authors pay attention to difference between the saliency maps generated from the WAF image and the pinhole lens image. Thus, we compared and discussed the performance of our proposed object detection method between the WAF lens and the pinhole lens by taking into consideration characteristcs of the WAF image, i.e., non-uniform resolution throughout the entire field of view (FOV) and higher distortion in more peripheral FOV.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1330-1335 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509014125 |
| DOIs | |
| Publication status | Published - 2017 Aug 3 |
| Externally published | Yes |
| Event | 26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom Duration: 2017 Jun 18 → 2017 Jun 21 |
Other
| Other | 26th IEEE International Symposium on Industrial Electronics, ISIE 2017 |
|---|---|
| Country | United Kingdom |
| City | Edinburgh, Scotland |
| Period | 17/6/18 → 17/6/21 |
Keywords
- Autonomos control
- Biologically-inspired information processing
- Machine intelligence
- Saliency map
- Wide angle fovea sensor
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering