LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
Ozan Çatal,Wouter Jansen,Tim Verbelen,Bart Dhoedt,Jan Steckel,Ozan Çatal,Wouter Jansen,Tim Verbelen,Bart Dhoedt,Jan Steckel
Biologically inspired algorithms for simultaneous localization and mapping (SLAM) such as RatSLAM have been shown to yield effective and robust robot navigation in both indoor and outdoor environments. One drawback however is the sensitivity to perceptual aliasing due to the template matching of low-dimensional sensory templates. In this paper, we propose an unsupervised representation learning me...
