Abstract
In recent years several implementations of position and movement realization via visual means have been developed. With the cost of RGB-D cameras decreasing and the availability of powerful hardware for processing images the area of visual odometry and VSLAM has become a heavily researched area. This project attempts to find an improved and cost effective environment for image processing to allow for collision avoidance and visual odometry. We attempt to create a multi-core embedded processing environment that will allow for an extremely fast and accurate estimation of position. This paper focuses on the key issue of improvement of visual odometry.
| Original language | English |
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| Pages | 2128-2130 |
| Number of pages | 3 |
| Publication status | Published - 2013 Jan 1 |
| Event | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan Duration: 2013 Sept 14 → 2013 Sept 17 |
Other
| Other | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 |
|---|---|
| Country/Territory | Japan |
| City | Nagoya |
| Period | 13/9/14 → 13/9/17 |
Keywords
- FPGA
- Pandaboard
- SIFT
- VHDL
- Visual odometry
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering