Sandeep Dcunha — accepted AI-conference papers

2018

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

Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu +3

IROS 2018poster

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. Our pipeline works on image streams from a monocular camera, both in natural light, as well as with controlled illu…

Cited by 157 Source ↗Scholar ↗

2017

Counting Apples and Oranges With Deep Learning: A Data-Driven Approach

Steven W. Chen, Shreyas S. Shivakumar, Sandeep Dcunha, Jnaneshwar Das, Edidiong Okon, Chao Qu +2

RA-L 2017

This paper describes a fruit counting pipeline based on deep learning that accurately counts fruit in unstructured environments. Obtaining reliable fruit counts is challenging because of variations in appearance due to illumination changes and occlusions from foliage and neighboring fruits. We propo

Cited by 365 Source ↗Scholar ↗