Implementation of fast SLAM on UGV
Samuel Cheong · DR-NTU (Nanyang Technological University) · 2018
Simultaneous Localization and mapping (SLAM) provides tracking of an autonomous robot’s position while at the same time, also maps out its surrounding environment. Recently, a new non-iterative method of SLAM, named NI-SLAM, was developed. In brief, this project aims to assess the usage of NI-SLAM on an Unmanned Ground Vehicle (UGV) and to further enhance the NI-SLAM through the usage of NVIDA’s parallel programming platform, CUDA.