Inkyu Sa
Inkyu Sa
Principal Research Engineer, Tech lead, Tencent, Canberra
Verified email at - Homepage
Cited by
Cited by
Deepfruits: A fruit detection system using deep neural networks
I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool
sensors 16 (8), 1222, 2016
Control of a quadrotor with reinforcement learning
J Hwangbo, I Sa, R Siegwart, M Hutter
IEEE Robotics and Automation Letters 2 (4), 2096-2103, 2017
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming
I Sa, Z Chen, M Popovic, R Khanna, F Liebisch, J Nieto, R Siegwart
IEEE Robotics and Automation Letters 3 (1), 588-595, 2018
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
I Sa, M Popović, R Khanna, Z Chen, P Lottes, F Liebisch, J Nieto, ...
Remote Sensing 10 (9), 1423, 2018
AMZ driverless: The full autonomous racing system
J Kabzan, MI Valls, VJF Reijgwart, HFC Hendrikx, C Ehmke, M Prajapat, ...
Journal of Field Robotics 37 (7), 1267-1294, 2020
System Identification, Estimation and Control for a Cost Effective Open-Source Quadcopter
I Sa, P Corke
Robotics and Automation (ICRA), 2012 IEEE International Conference on, 2012
Only look once, mining distinctive landmarks from convnet for visual place recognition
Z Chen, F Maffra, I Sa, M Chli
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
An informative path planning framework for UAV-based terrain monitoring
M Popović, T Vidal-Calleja, G Hitz, JJ Chung, I Sa, R Siegwart, J Nieto
Autonomous Robots 44 (6), 889-911, 2020
Learning context flexible attention model for long-term visual place recognition
Z Chen, L Liu, I Sa, Z Ge, M Chli
IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018
Peduncle detection of sweet pepper for autonomous crop harvesting—combined color and 3-D information
I Sa, C Lehnert, A English, C McCool, F Dayoub, B Upcroft, T Perez
IEEE Robotics and Automation Letters 2 (2), 765-772, 2017
Vertical infrastructure inspection using a quadcopter and shared autonomy control
I Sa, P Corke
Field and Service Robotics: Results of the 8th International Conference, 219-232, 2014
Building an aerial–ground robotics system for precision farming: an adaptable solution
A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, ...
IEEE Robotics & Automation Magazine 28 (3), 29-49, 2020
Online informative path planning for active classification using uavs
M Popovic, G Hitz, J Nieto, I Sa, R Siegwart, E Galceran
arXiv preprint arXiv:1609.08446, 2016
Sweet pepper pose detection and grasping for automated crop harvesting
C Lehnert, I Sa, C McCool, B Upcroft, T Perez
2016 IEEE international conference on robotics and automation (ICRA), 2428-2434, 2016
Heterogeneous ground and air platforms, homogeneous sensing: Team CSIRO Data61's approach to the DARPA subterranean challenge
N Hudson, F Talbot, M Cox, J Williams, T Hines, A Pitt, B Wood, ...
arXiv preprint arXiv:2104.09053, 2021
Multiresolution Mapping and Informative Path Planning for UAV-based Terrain Monitoring
JN Marija Popović, Teresa Vidal-Calleja, Gregory Hitz, Inkyu Sa, Roland Siegwart
IEEE Int. Conf. on Intel. Robots & Systems, 2017
Visual detection of occluded crop: For automated harvesting
C McCool, I Sa, F Dayoub, C Lehnert, T Perez, B Upcroft
2016 IEEE International Conference on Robotics and Automation (ICRA), 2506-2512, 2016
Performance improvements of a sweet pepper harvesting robot in protected cropping environments
C Lehnert, C McCool, I Sa, T Perez
Journal of Field Robotics 37 (7), 1197-1223, 2020
Outdoor flight testing of a pole inspection UAV incorporating high-speed vision
I Sa, S Hrabar, P Corke
Field and Service Robotics: Results of the 9th International Conference, 107-121, 2015
Estimation and control for an open-source quadcopter
I Sa, P Corke
Proceedings of the 2011 Australasian Conference on Robotics and Automation …, 2011
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