OpenUAV Cloud Testbed: a Collaborative Design Studio for Field Robotics

1 code implementation • 2 Oct 2019 • Harish Anand, Zhiang Chen, Sarah Bearman, Prasad Antervedi, Devin Keating, Stephen A. Rees, Jnaneshwar Das

Second, a method for saving an individual's research work with its dependencies for the work's future reproducibility.

Robotics Distributed, Parallel, and Cluster Computing Software Engineering

Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning

no code implementations • 27 Sep 2019 • Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Devin Keating, Chelsea Scott, J Ramon Arrowsmith, Jnaneshwar Das

We present a pipeline for geomorphological analysis that uses structure from motion (SfM) and deep learning on close-range aerial imagery to estimate spatial distributions of rock traits (size, roundness, and orientation) along a tectonic fault scarp.

Instance Segmentation Morphological Analysis +1

Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association

no code implementations • 4 Nov 2018 • Xu Liu, Steven W. Chen, Chenhao Liu, Shreyas S. Shivakumar, Jnaneshwar Das, Camillo J. Taylor, James Underwood, Vijay Kumar

We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera.

Robotics

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion

no code implementations • 1 Apr 2018 • Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar

We present a novel fruit counting pipeline that combines deep segmentation, frame to frame tracking, and 3D localization to accurately count visible fruits across a sequence of images.