10 accepted papers
The primary objective of this paper is to introduce a new monocular depth estimation (MDE) model targeting under-represented environments using a novel dataset combining synthetic and real images. The proposed model is small and fast to allow use for UAS navigation and data collection in rainforest
The primary objective of this study was to utilize state-of-the-art deep learning-based monocular depth estimation models to assist UAS pilots in rainforest canopy data collection and navigation. Monocular depth estimation models provide a complementary technique to other depth measurement and estim…
Unmanned Aerial Vehicles (UAVs) are increasingly integrated into diverse human interaction domains that require robust human-robot communication systems. Visual communication techniques have shown promise in their ability to communicate concrete information to observers. Such techniques, often descr
User proficiency in manual operation of autonomous systems is crucial to the performance of these systems because users are often the final barrier in detecting and correcting abnormal behavior in autonomy. This letter presents a new approach to identifying user proficiency in piloting small unmanne
Users are often the last barrier in the detection and correction of abnormal behavior in autonomous systems, so understanding what can be expected from users in various contexts is crucial to the performance of such systems. This letter presents the first study characterizing a user ability to timel
Users play an integral role in the performance of many robotic systems, and robotic systems must account for differences in users to improve collaborative performance. Much of the work in adapting to users has focused on designing teleoperation controllers that adjust to extrinsic user indicators su…
This project seeks to generate small Unmanned Aerial System (sUAS) flight paths that are broadly understood by the general population and can communicate states about both the sUAS and its understanding of the world. Previous work in sUAS flight paths has sought to communicate intent, destination, o…
This project seeks to generate small Unmanned Aerial System (sUAS) flight paths that are broadly understood by the general population and can communicate states about both the sUAS and its understanding of the world. Previous work in sUAS flight paths has sought to communicate intent, destination, o
This paper presents an investigation of human comfort with a small Unmanned Aerial Vehicle (sUAV) through a study offering a comparison of comfort with a sUAV versus a ground vehicle. Current research on human comfort with sUAVs has been limited to a single previous study, which did not include free…
This work provides a case study of both fixed-wing and rotorcraft small unmanned aerial systems (SUAS) used in a deployment at the SR530 mudslides in Washington state and compares the types of flight paths used by each vehicle type. Previously aerial imagery from SUAS have produced 2D and 3D reconst…