Hriday Bavle

Orcid: 0000-0002-1732-0647

According to our database1, Hriday Bavle authored at least 35 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
UAV-assisted Visual SLAM Generating Reconstructed 3D Scene Graphs in GPS-denied Environments.
CoRR, 2024

Multi S-Graphs: an Efficient Real-time Distributed Semantic-Relational Collaborative SLAM.
CoRR, 2024

2023
A comprehensive survey on non-cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection.
J. Field Robotics, September, 2023

Robot Localization Using Situational Graphs (S-Graphs) and Building Architectural Plans.
Robotics, June, 2023

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives.
Sensors, 2023

From SLAM to Situational Awareness: Challenges and Survey.
Sensors, 2023

S-Graphs+: Real-Time Localization and Mapping Leveraging Hierarchical Representations.
IEEE Robotics Autom. Lett., 2023

Better Situational Graphs by Inferring High-level Semantic-Relational Concepts.
CoRR, 2023

Vision-based Situational Graphs Generating Optimizable 3D Scene Representations.
CoRR, 2023

Faster Optimization in S-Graphs Exploiting Hierarchy.
CoRR, 2023

S-Nav: Semantic-Geometric Planning for Mobile Robots.
CoRR, 2023

Graph-based Global Robot Simultaneous Localization and Mapping using Architectural Plans.
CoRR, 2023

Multi S-graphs: A Collaborative Semantic SLAM architecture.
CoRR, 2023

Marker-Based Visual SLAM Leveraging Hierarchical Representations.
IROS, 2023

Graph-Based Global Robot Localization Informing Situational Graphs with Architectural Graphs.
IROS, 2023

Pose Graph Optimization for a MAV Indoor Localization Fusing 5GNR TOA with an IMU.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

2022
Autonomous Aerial Robot for High-Speed Search and Intercept Applications.
Field Robotics, March, 2022

Visual SLAM: What Are the Current Trends and What to Expect?
Sensors, 2022

Performance Analysis of Localization Algorithms for Inspections in 2D and 3D Unstructured Environments Using 3D Laser Sensors and UAVs.
Sensors, 2022

RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry.
Sensors, 2022

Situational Graphs for Robot Navigation in Structured Indoor Environments.
IEEE Robotics Autom. Lett., 2022

A Review of Radio Frequency Based Localization for Aerial and Ground Robots with 5G Future Perspectives.
CoRR, 2022

Advanced Situational Graphs for Robot Navigation in Structured Indoor Environments.
CoRR, 2022

Robot Localization using Situational Graphs and Building Architectural Plans.
CoRR, 2022

2021
From SLAM to Situational Awareness: Challenges and Survey.
CoRR, 2021

2020
Editorial: Special Issue for selected papers from IMAV 2019.
Unmanned Syst., 2020

VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems.
IEEE Access, 2020

2019
Vision-Based Multirotor Following Using Synthetic Learning Techniques.
Sensors, 2019

An execution control method for the Aerostack aerial robotics framework.
Frontiers Inf. Technol. Electron. Eng., 2019

A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques.
J. Intell. Robotic Syst., 2019

A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform.
J. Intell. Robotic Syst., 2019

2018
Laser-Based Reactive Navigation for Multirotor Aerial Robots using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Deep Reinforcement Learning Technique for Vision-Based Autonomous Multirotor Landing on a Moving Platform.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Stereo Visual Odometry and Semantics based Localization of Aerial Robots in Indoor Environments.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
A Multi-Layered Component-Based Approach for the Development of Aerial Robotic Systems: The Aerostack Framework.
J. Intell. Robotic Syst., 2017


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