首页|Reports from Newcastle University Advance Knowledge in Robotics and Automation ( Rwifislam: Effective Wifi Ranging Based Slam System In Ambient Environments)
Reports from Newcastle University Advance Knowledge in Robotics and Automation ( Rwifislam: Effective Wifi Ranging Based Slam System In Ambient Environments)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - Ro botics and Automation have been published. According to news reporting out of Ne wcastle upon Tyne, United Kingdom, by NewsRx editors, research stated, “In this letter, we propose rWiFiSLAM, an indoor localisation system based on WiFi rangin g measurements. Indoor localisation techniques play an important role in mobile robots when they cannot access good quality GPS signals in indoor environments.” Our news journalists obtained a quote from the research from Newcastle Universit y, “Indoor localisation also has many other applications, such as rescue, smart buildings, etc. Inertial Measurement Units (IMU) have been used for Pedestrian D ead Reckoning (PDR) to provide localisation services in the indoor environment a s it does not rely on any other signals. Although PDR is a promising technique, it still suffers from unavoidable noise and bias from IMUs in mobile devices. Lo op closure is necessary for these scenarios. In this letter, we design an effici ent loop closure mechanism based on WiFi ranging measurements along with IMU mea surements in a robust pose graph SLAM framework for indoor localisation. One nov elty of the proposed method is that we remove the requirement of the full knowle dge of the WiFi access point locations, which makes our proposed method feasible for new and/or dynamic environments.”
Newcastle upon TyneUnited KingdomEur opeRobotics and AutomationRoboticsNewcastle University
NETL
NSTL
