Inkyu Sa

Engineering · Physical Sciences

25h-index3.6kcitations88works7.02yr avg
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Research Topics

Robotics and Sensor-Based Localization(41), Robotic Path Planning Algorithms(24), Smart Agriculture and AI(21), Robotics and Automated Systems(13), Advanced Vision and Imaging(12)

Publications88 total

Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches
arXiv (Cornell University)·2024· 2 citedOpen Access
Enhancing Human-Robot Interaction: Integrating ASL Recognition and LLM-Driven Co-Speech Gestures in Pepper Robot with a Compact Neural Network
2024· 8 cited
MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE<sub>2</sub>(3) Based Exact IMU Pre-integration
2024· 11 cited
A Sign Language Recognition System with Pepper, Lightweight-Transformer, and LLM
arXiv (Cornell University)·2023· 4 citedOpen Access
MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE2(3) Based Exact IMU Pre-integration
arXiv (Cornell University)·2023· 1 citedOpen Access
Visual based Tomato Size Measurement System for an Indoor Farming Environment
arXiv (Cornell University)·2023Open Access
A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges
Field Robotics·2022· 76 citedOpen Access
deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques
Sensors·2022Open Access
Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge
Field Robotics·2022· 95 citedOpen Access
deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques
arXiv (Cornell University)·2022· 26 citedOpen Access
deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(nirscene) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(capsicum) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(nirscene) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(SEN12MS) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(nirscene) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(capsicum) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
(SEN12MS) deepNIR: Dataset for generating synthetic NIR images
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Table of Contents
IEEE Robotics & Automation Magazine·2021Open Access
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Frequent Co-authors

Roland Siegwart(18), Juan Nieto(15), Marija Popović(13), Peter Corke(11), Ho Seok Ahn(9), Chris McCool(8), Raghav Khanna(8), Tristán Pérez(7), Chris Lehnert(7), Gregory Hitz(5), Feras Dayoub(4), Ben Upcroft(4), Zetao Chen(4), Frank Liebisch(4), Cyrill Stachniss(4), Teresa Vidal‐Calleja(4), Stefan Hrabar(4), Philipp Lottes(3), Achim Walter(3), Nicolas Hudson(3)