Abstract
For security applications and in situations where optical sensors are not working, ultra-wideband (UWB) radar is an alternative technology for localization, mapping and object recognition. This paper presents an approach for solving the simultaneous localization and mapping (SLAM) problem for an autonomous robot with a small UWB radar array. Feature-based mapping in conjunction with an underlying state space model enables the reconstruction of the room with accuracy up to 10 cm. Two different ways of dealing with the data association problem — the task of sorting the measured time-of-flight values — are presented. Data fusion with odometry information is proposed to reduce the number of measurement steps. Experimental results with an autonomous robot show the feasibility of the concept.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
