Nived Chebrolu

According to our database, Nived Chebrolu authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.

Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Markerless Aerial-Terrestrial Co-Registration of Forest Point Clouds using a Deformable Pose Graph.

Benoit Casseau, Nived Chebrolu, Matías Mattamala, Leonard Freißmuth, Maurice F. Fallon

CoRR, 2024

Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment.

Matías Mattamala, Nived Chebrolu, Benoit Casseau, Leonard Freißmuth, Jonas Frey, Turcan Tuna, Marco Hutter, Maurice F. Fallon

CoRR, 2024

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision.

Matías Mattamala, Jonas Frey, Piotr Libera, Nived Chebrolu, Georg Martius, Cesar Cadena, Marco Hutter, Maurice F. Fallon

CoRR, 2024

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System.

Leonard Freißmuth, Matías Mattamala, Nived Chebrolu, Simon Schaefer, Stefan Leutenegger, Maurice F. Fallon

CoRR, 2024

Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests.

Haedam Oh, Nived Chebrolu, Matías Mattamala, Leonard Freißmuth, Maurice F. Fallon

CoRR, 2024

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection.

Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matías Mattamala, Nived Chebrolu, Maurice F. Fallon

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots.

Meher V. R. Malladi, Tiziano Guadagnino, Luca Lobefaro, Matías Mattamala, Holger Griess, Janine Schweier, Nived Chebrolu, Maurice F. Fallon, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning.

Rowan Border, Nived Chebrolu, Yifu Tao, Jonathan D. Gammell, Maurice F. Fallon

CoRR, 2023

Fast Traversability Estimation for Wild Visual Navigation.

Jonas Frey, Matías Mattamala, Nived Chebrolu, Cesar Cadena, Maurice F. Fallon, Marco Hutter

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Semantically Informed MPC for Context-Aware Robot Exploration.

Yash Goel, Narunas Vaskevicius, Luigi Palmieri, Nived Chebrolu, Kai O. Arras, Cyrill Stachniss

IROS, 2023

Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model.

Lanke Frank Tarimo Fu, Nived Chebrolu, Maurice F. Fallon

IROS, 2023

2022

Towards real-time forest inventory using handheld LiDAR.

Alexander Proudman, Milad Ramezani, Sundara Tejaswi Digumarti, Nived Chebrolu, Maurice F. Fallon

Robotics Auton. Syst., 2022

An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions.

Matías Mattamala, Nived Chebrolu, Maurice F. Fallon

IEEE Robotics Autom. Lett., 2022

Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation.

Yash Goel, Narunas Vaskevicius, Luigi Palmieri, Nived Chebrolu, Cyrill Stachniss

CoRR, 2022

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation.

Yifu Tao, Marija Popovic, Yiduo Wang, Sundara Tejaswi Digumarti, Nived Chebrolu, Maurice F. Fallon

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Spatio-Temporal Registration Techniques for Agricultural Robots

Nived Chebrolu

PhD thesis, 2021

Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution.

Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto

IEEE Robotics Autom. Mag., 2021

Adaptive Robust Kernels for Non-Linear Least Squares Problems.

Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2021

Poisson Surface Reconstruction for LiDAR Odometry and Mapping.

Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.

Federico Magistri, Nived Chebrolu, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming.

Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss

J. Field Robotics, 2020

Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping.

Federico Magistri, Nived Chebrolu, Cyrill Stachniss

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants.

Nived Chebrolu, Thomas Läbe, Cyrill Stachniss

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Servoing-based Navigation for Monitoring Row-Crop Fields.

Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Building an Aerial-Ground Robotics System for Precision Farming.

Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto

CoRR, 2019

Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields.

Nived Chebrolu, Philipp Lottes, Thomas Läbe, Cyrill Stachniss

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture.

Nived Chebrolu, Thomas Läbe, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2018

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming.

Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields.

Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss

Int. J. Robotics Res., 2017