An Efficient and Continuous Representation for Occupancy Mapping with Random Mapping
Xu Liu,Decai Li,Yuqing He,Xu Liu,Decai Li,Yuqing He
Generating meaningful spatial models of physical environments is a crucial ability for autonomous navigation of mobile robots. This paper considers the problem of building continuous occupancy maps from sparse and noisy sensor data. To this end, we propose a new method named random mapping maps that advances the popular methods in two aspects. Firstly, it can represent environment models in a memo...
