TY - GEN
T1 - Design principles for 2D local mapping using a laser range finder
AU - Corregedor, Antonio R.
AU - Meyer, Johan
AU - Du Plessis, Francois
PY - 2011
Y1 - 2011
N2 - This paper presents a guide on how to obtain a local map from a SICK LMS291 laser range finder (LRF). The type of local map produced is a feature map, where the objects (or features) in the world are represented by line segments. Much research has been done on local maps and how they are created with a LRF. However, there is usually a fundamental link missing on the hardware setup (and software commands) to allow a local map to be produced in a real world situation from a SICK LMS291 LRF. A design principle is therefore produced, which consists of two main aspects. The first aspect is a hardware setup, which uses off the shelf components to allow the SICK LMS291 LRF to operate at a baud rate of 500 000 baud. At a rate of 500 000 baud the LRF is able to return the highest possible resolution scan of its environment. The second aspect are the steps to implement a line extraction algorithm, which allows one to fit line segments to offline data sets and to data points extracted from the LRF in real time.
AB - This paper presents a guide on how to obtain a local map from a SICK LMS291 laser range finder (LRF). The type of local map produced is a feature map, where the objects (or features) in the world are represented by line segments. Much research has been done on local maps and how they are created with a LRF. However, there is usually a fundamental link missing on the hardware setup (and software commands) to allow a local map to be produced in a real world situation from a SICK LMS291 LRF. A design principle is therefore produced, which consists of two main aspects. The first aspect is a hardware setup, which uses off the shelf components to allow the SICK LMS291 LRF to operate at a baud rate of 500 000 baud. At a rate of 500 000 baud the LRF is able to return the highest possible resolution scan of its environment. The second aspect are the steps to implement a line extraction algorithm, which allows one to fit line segments to offline data sets and to data points extracted from the LRF in real time.
KW - 2D laser range finder
KW - line extraction
KW - line maps
KW - local maps
KW - mapping
KW - split-and-merge algorithm
UR - http://www.scopus.com/inward/record.url?scp=82955233969&partnerID=8YFLogxK
U2 - 10.1109/AFRCON.2011.6072083
DO - 10.1109/AFRCON.2011.6072083
M3 - Conference contribution
AN - SCOPUS:82955233969
SN - 9781612849928
T3 - IEEE AFRICON Conference
BT - IEEE Africon'11
T2 - IEEE Africon'11
Y2 - 13 September 2011 through 15 September 2011
ER -