5 papers · 1 filter
Pure Inertial Navigation in Challenging Environments with Wheeled and Chassis Mounted Inertial Sensors
Dusan Nemec, Gal Versano, Itai Savin +3
Autonomous vehicles and wheeled robots are widely used in many applications in both indoor and outdoor settings. In practical situations with limited GNSS signals or degraded light…
Orientation-Free Neural Network-Based Bias Estimation for Low-Cost Stationary Accelerometers
Michal Levin, Itzik Klein
Low-cost micro-electromechanical accelerometers are widely used in navigation, robotics, and consumer devices for motion sensing and position estimation. However, their performance…
MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
Arup Kumar Sahoo, Itzik Klein
A fundamental requirement for full autonomy in mobile robots is accurate navigation even in situations where satellite navigation or cameras are unavailable. In such practical situ…
WMINet: A Wheel-Mounted Inertial Learning Approach For Mobile-Robot Positioning
Gal Versano, Itzik Klein
Autonomous mobile robots are widely used for navigation, transportation, and inspection tasks indoors and outdoors. In practical situations of limited satellite signals or poor lig…
Quadrotor Neural Dead Reckoning in Periodic Trajectories
Shira Massas, Itzik Klein
In real world scenarios, due to environmental or hardware constraints, the quadrotor is forced to navigate in pure inertial navigation mode while operating indoors or outdoors. To…