Adaptive Kernel Inference for Dense and Sharp Occupancy Grids
Youngsun Kwon,Bochang Moon,Sung-Eui Yoon,Youngsun Kwon,Bochang Moon,Sung-Eui Yoon
In this paper, we present a new approach, AKIMap, that uses an adaptive kernel inference for dense and sharp occupancy grid representations. Our approach is based on the multivariate kernel estimation, and we propose a simple, two-stage based method that selects an adaptive bandwidth matrix for an efficient and accurate occupancy estimation. To utilize correlations of occupancy observations given ...
