Marija Popovic

Orcid: 0000-0002-8830-6033

According to our database1, Marija Popovic authored at least 48 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning.
IEEE Robotics Autom. Lett., 2024

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning.
CoRR, 2024

STAIR: Semantic-Targeted Active Implicit Reconstruction.
CoRR, 2024

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning.
CoRR, 2024

2023
An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping.
IEEE Trans. Robotics, December, 2023

Embracing Robotics and Intelligent Machine Systems for Smart Agricultural Applications [From the Guest Editors].
IEEE Robotics Autom. Mag., December, 2023

Adaptive path planning for UAVs for multi-resolution semantic segmentation.
Robotics Auton. Syst., 2023

Active Implicit Reconstruction Using One-Shot View Planning.
CoRR, 2023

How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?
CoRR, 2023

Perceptual Factors for Environmental Modeling in Robotic Active Perception.
CoRR, 2023

Graph-Based View Motion Planning for Fruit Detection.
IROS, 2023

Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning.
IROS, 2023

NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering.
IROS, 2023

2022
Agricultural Robotics and Automation [TC Spotlight].
IEEE Robotics Autom. Mag., 2022

Adaptive-Resolution Field Mapping Using Gaussian Process Fusion With Integral Kernels.
IEEE Robotics Autom. Lett., 2022

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Informative Path Planning for Active Learning in Aerial Semantic Mapping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution.
IEEE Robotics Autom. Mag., 2021

Volumetric Occupancy Mapping With Probabilistic Depth Completion for Robotic Navigation.
IEEE Robotics Autom. Lett., 2021

Multi-Resolution 3D Mapping With Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning.
IEEE Robotics Autom. Lett., 2021

Adaptive-Resolution Gaussian Process Mapping for Efficient UAV-based Terrain Monitoring.
CoRR, 2021

Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation.
Proceedings of the 10th European Conference on Mobile Robots, 2021

2020
Counting penguins with drones.
Sci. Robotics, 2020

Efficient Volumetric Mapping Using Depth Completion With Uncertainty for Robotic Navigation.
CoRR, 2020

An informative path planning framework for UAV-based terrain monitoring.
Auton. Robots, 2020

Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing.
Proceedings of the Robotics: Science and Systems XVI, 2020

Informative Path Planning for Active Field Mapping under Localization Uncertainty.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Efficient Lazy Theta* Path Planning over a Sparse Grid to Explore Large 3D Volumes with a Multirotor UAV.
Sensors, 2019

The ETH-MAV Team in the MBZ International Robotics Challenge.
J. Field Robotics, 2019

Building an Aerial-Ground Robotics System for Precision Farming.
CoRR, 2019

Active Learning for UAV-based Semantic Mapping.
CoRR, 2019

Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty.
CoRR, 2019

Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming.
Remote. Sens., 2018

Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone.
IEEE Robotics Autom. Mag., 2018

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming.
IEEE Robotics Autom. Lett., 2018

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming.
CoRR, 2018

An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest.
CoRR, 2018

Multi-Agent Time-Based Decision-Making for the Search and Action Problem.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Build your own visual-inertial odometry aided cost-effective and open-source autonomous drone.
CoRR, 2017

Dynamic System Identification, and Control for a cost effective open-source VTOL MAV.
CoRR, 2017

Multiresolution mapping and informative path planning for UAV-based terrain monitoring.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Online informative path planning for active classification using UAVs.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Improved Tau-Guidance and Vision-Aided Navigation for Robust Autonomous Landing of UAVs.
Proceedings of the Field and Service Robotics, 2017

Dynamic System Identification, and Control for a Cost-Effective and Open-Source Multi-rotor MAV.
Proceedings of the Field and Service Robotics, 2017

2016
Online Informative Path Planning for Active Classification on UAVs.
CoRR, 2016


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