Mr. Arvind Ramanandan spoke to the Southern California Section about Sensor Aided Inertial Navigation on Thursday, 28 April, 2011 at NavCom Technology. There were 20 in attendance. A brief bio and abstract of the talk follows, and the slides used during the meeting are attached.
Capsule Biography of Arvind Ramanandan
Arvind Ramanandan is a PhD candidate in the Department of Electrical Engineering at UC-Riverside. He received his Bachelor of Engineering degree in Electronics and Communications from Anna University, Chennai, India. His research interests include sensor-aided inertial navigation, sensor integration, high accuracy roadway mapping, SLAM methods in mapping and navigation, near-real-time estimation and non-GNSS aiding techniques.
Abstract of Mr. Ramanandan’s Talk:
Slides: Sensor Aided Inertial Navigation
The advent of low cost and smaller size MEMS- based inertial sensors has led to their increased presence in low cost consumer devices. These factors have enabled numerous positioning- based applications (e.g. automotive guidance, routing).
The central theme of his research has been improving accuracy and reliability for auxiliary sensor-aided inertial navigation. The limitations of inertial sensors are well known, e.g. potentially unbounded error growth. These limitations have motivated the need for independent, high-accuracy aiding sensors. In this presentation, he will discuss results from tight integration of inertial navigation systems with positioning sensors such as GPS, feature-based sensors such as vision LIDAR and stationary updates. He will also discuss the use of a near-real-time estimation process which is based upon fixed interval smoothing, to evaluate the effectiveness of the aiding sensors.