Development of a low-cost SLAM radar for applications in robotics.
Irps, Thomas and Prior, Stephen D. and Lewis, Darren and Mielniczek, Witold and Brazinskas, Mantas and Barlow, Chris and Karamanoglu, Mehmet (2010) Development of a low-cost SLAM radar for applications in robotics. International Conference on Manufacturing Engineering Systems, 2010 . pp. 299-304. ISSN 2152-1522
This is the latest version of this item.
- Submitted Version
The current state of SLAM radar is quite advanced, featuring various methods of data retrieval. One of the methods used is that of video telemetry to locate “common spots” in the surrounding environment which provide positional information during motion. Another method is that of using high-speed high-resolution laser measurement tools which provide a 360° horizontal field of view and a 90° vertical field of view. These systems create vast amounts of point cloud data and are expensive, ranging from £1,000 upwards. These systems are often unsuitable for small competition robots due to these reasons. The developments discussed in this paper describes various alternative measurement technologies, such as ultrasonic and infra-red and how these can be adapted with the addition of a mechanical drive to provide an almost real-time 360° horizontal field of view and an adjustable vertical field of view.
International Conference on Manufacturing Engineering Systems conference held at South Taiwan University on 16-20th Dec 2010.
|Keywords (uncontrolled):||Mobile Robotics, SLAM, Mapping.|
|Research Areas:||A. Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics|
|Permissions granted by publisher:||With thanks to publisher for permitting reproduction of article.|
|Deposited On:||20 Jan 2011 11:46|
|Last Modified:||11 Feb 2015 11:15|
Available Versions of this Item
- Development of a low-cost SLAM radar for applications in robotics. (deposited 20 Jan 2011 11:46) [Currently Displayed]
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year