Nived Chebrolu

About Nived Chebrolu

Nived Chebrolu, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System

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

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

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

Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model

Semantically Informed MPC for Context-Aware Robot Exploration

Nived Chebrolu Information

University

Position

Photogrammetry and Robotics Lab

Citations(all)

1005

Citations(since 2020)

981

Cited By

218

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Nived Chebrolu Skills & Research Interests

Robotics

Top articles of Nived Chebrolu

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

arXiv preprint arXiv:2404.14157

2024/4/22

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

arXiv preprint arXiv:2404.07110

2024/4/10

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System

arXiv preprint arXiv:2403.17622

2024/3/26

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

arXiv preprint arXiv:2403.14326

2024/3/21

Nived Chebrolu
Nived Chebrolu

H-Index: 7

Maurice Fallon
Maurice Fallon

H-Index: 22

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

arXiv preprint arXiv:2403.06877

2024/3/11

Nived Chebrolu
Nived Chebrolu

H-Index: 7

Maurice Fallon
Maurice Fallon

H-Index: 22

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

arXiv preprint arXiv:2311.03484

2023/11/6

Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model

2023/10/1

Nived Chebrolu
Nived Chebrolu

H-Index: 7

Maurice Fallon
Maurice Fallon

H-Index: 22

Semantically Informed MPC for Context-Aware Robot Exploration

2023/10/1

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

arXiv preprint arXiv:2306.04557

2023/6/7

Fast traversability estimation for wild visual navigation

arXiv preprint arXiv:2305.08510

2023/5/15

Towards real-time forest inventory using handheld LiDAR

Robotics and Autonomous Systems

2022

3d lidar reconstruction with probabilistic depth completion for robotic navigation

2022/10/23

Predicting dense and context-aware cost maps for semantic robot navigation

arXiv preprint arXiv:2210.08952

2022/10/17

An efficient locally reactive controller for safe navigation in visual teach and repeat missions

IEEE Robotics and Automation Letters

2022/1/14

Nived Chebrolu
Nived Chebrolu

H-Index: 7

Maurice Fallon
Maurice Fallon

H-Index: 22

Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis

Plos one

2021/8/18

Spatio-Temporal Registration Techniques for Agricultural Robots

2021/6/16

Nived Chebrolu
Nived Chebrolu

H-Index: 7

Towards in-field phenotyping exploiting differentiable rendering with self-consistency loss

2021/5/30

Poisson surface reconstruction for LiDAR odometry and mapping

2021/5/30

Registration of spatio-temporal point clouds of plants for phenotyping

PloS one

2021/2/25

Adaptive robust kernels for non-linear least squares problems

IEEE Robotics and Automation Letters

2021/2/23

See List of Professors in Nived Chebrolu University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

academic-engine