Vignesh Kottayam Viswanathan

TL;DR: This paper highlights the significance of maintaining and enhancing situational awareness in Urban Search and Rescue (USAR) missions by investigating the capabilities of Unmanned Aerial Vehicles equipped with limited sensing capabilities and onboard computational resources to perform visual inspections of apriori unknown fractured and collapsed structures in unfamiliar environments.

TL;DR: In this article , a nonlinear moving horizon estimation (NMHE) framework is proposed to estimate exogenous disturbances acting on a spacecraft for autonomous navigation around Small Celestial Bodies (SCBs).

TL;DR: In this paper , the authors present an experimental evaluation of an offline, geometry-aware aerial visual inspection framework, specifically in constrained environment, established for geometrically fractured objects, by employing an autonomous unmanned aerial vehicle (UAV), equipped with on-board sensors.

TL;DR: In this paper , the authors introduce a multimodal dataset from the harsh and unstructured underground environment with aerosol particles, which contains synchronized raw data measurements from all onboard sensors in Robot Operating System (ROS) format to facilitate the evaluation of navigation, and localization algorithms.