Victor Reijgwart

Orcid: 0000-0002-7605-8490

According to our database1, Victor Reijgwart authored at least 20 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids.
CoRR, February, 2026

2025
Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles.
Frontiers Robotics AI, 2025

Obstacle-Avoidant Leader Following with a Quadruped Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.
Field Robotics, 2024

Framework for Robust Localization of UUVs and Mapping of Net Pens.
CoRR, 2024

Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
maplab 2.0 - A Modular and Multi-Modal Mapping Framework.
IEEE Robotics Autom. Lett., 2023

Efficient volumetric mapping of multi-scale environments using wavelet-based compression.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge.
Field Robotics, March, 2022

Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning.
CoRR, 2022

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift.
IEEE Robotics Autom. Lett., 2021

Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Voxplan: A 3D Global Planner using Signed Distance Function Submaps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
End-to-End Velocity Estimation for Autonomous Racing.
IEEE Robotics Autom. Lett., 2020

Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps.
IEEE Robotics Autom. Lett., 2020

AMZ Driverless: The full autonomous racing system.
J. Field Robotics, 2020

Fast and Accurate Mapping for Autonomous Racing.
CoRR, 2020

Accurate Mapping and Planning for Autonomous Racing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018
Design of an Autonomous Racecar: Perception, State Estimation and System Integration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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