The rise of new connected objects handheld, worn on the wrist, as jewelry or on glasses offers new opportunities for improving people's mobility. In parallel, the complexity of human movements introduces new challenges in the development of positioning and navigation algorithms for people. Finding the right strategy to fuse available signals for estimating an accurate and reliable location everywhere can be complex. To handle this issue, this talk discusses the current status and ongoing trends in pedestrian navigation with a focus on pedestrian dead reckoning approaches. It addresses the integration of human gait features to improve displacement estimation models. Novel use of digital urban data and degraded urban radio signal measurements to improve the pedestrian's location estimate in hybridization filter is also presented.