Nived Chebrolu

Orcid: 0000-0001-6408-4459

According to our database1, Nived Chebrolu authored at least 29 papers between 2017 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment.
CoRR, 2024

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision.
CoRR, 2024

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System.
CoRR, 2024

Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests.
CoRR, 2024

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection.
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.
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.
CoRR, 2023

PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.
CoRR, 2023

Fast Traversability Estimation for Wild Visual Navigation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Semantically Informed MPC for Context-Aware Robot Exploration.
IROS, 2023

Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model.
IROS, 2023

2022
Towards real-time forest inventory using handheld LiDAR.
Robotics Auton. Syst., 2022

An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions.
IEEE Robotics Autom. Lett., 2022

Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation.
CoRR, 2022

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

2021
Spatio-Temporal Registration Techniques for Agricultural Robots
PhD thesis, 2021

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

Adaptive Robust Kernels for Non-Linear Least Squares Problems.
IEEE Robotics Autom. Lett., 2021

Poisson Surface Reconstruction for LiDAR Odometry and Mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.
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.
J. Field Robotics, 2020

Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Servoing-based Navigation for Monitoring Row-Crop Fields.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture.
IEEE Robotics Autom. Lett., 2018

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming.
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.
Int. J. Robotics Res., 2017


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