David Wisth

Orcid: 0000-0002-2108-5184

According to our database1, David Wisth authored at least 11 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots.
IEEE Trans. Robotics, February, 2023

Hilti-Oxford Dataset: A Millimeter-Accurate Benchmark for Simultaneous Localization and Mapping.
IEEE Robotics Autom. Lett., 2023

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

Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry.
IEEE Robotics Autom. Lett., 2022

Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping.
CoRR, 2022

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.
CoRR, 2022

2021
Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry.
IEEE Robotics Autom. Lett., 2021

2020
Towards autonomous inspection of concrete deterioration in sewers with legged robots.
J. Field Robotics, 2020

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Preintegrated Velocity Bias Estimation to Overcome Contact Nonlinearities in Legged Robot Odometry.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Robust Legged Robot State Estimation Using Factor Graph Optimization.
IEEE Robotics Autom. Lett., 2019


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