Daniil Lisus

According to our database, Daniil Lisus authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Certifying Maps for Safe Registration-Based Localization Under Adverse Conditions.

Johann Laconte, Daniil Lisus, Timothy D. Barfoot

IEEE Robotics Autom. Lett., February, 2024

The Finer Points: A Systematic Comparison of Point-Cloud Extractors for Radar Odometry.

Elliot Preston-Krebs, Daniil Lisus, Timothy D. Barfoot

CoRR, 2024

Are Doppler Velocity Measurements Useful for Spinning Radar Odometry?

Daniil Lisus, Keenan Burnett, David J. Yoon, Timothy D. Barfoot

CoRR, 2024

Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm.

Ziyu Zhang, Johann Laconte, Daniil Lisus, Timothy D. Barfoot

CoRR, 2024

2023

Know What You Don't Know: Consistency in Sliding Window Filtering With Unobservable States Applied to Visual-Inertial SLAM.

Daniil Lisus, Mitchell R. Cohen, James Richard Forbes

IEEE Robotics Autom. Lett., June, 2023

Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights.

Daniil Lisus, Johann Laconte, Keenan Burnett, Timothy D. Barfoot

CoRR, 2023

Toward Certifying Maps for Safe Localization Under Adversarial Corruption.

Johann Laconte, Daniil Lisus, Timothy D. Barfoot

CoRR, 2023

Towards Open World NeRF-Based SLAM.

Daniil Lisus, Connor Holmes

CoRR, 2023

Towards Open World NeRF-Based SLAM.

Daniil Lisus, Connor Holmes, Steven Lake Waslander

Proceedings of the 20th Conference on Robots and Vision, 2023

2022

Know What You Don't Know: Consistency in Sliding Window Filtering with Unobservable States Applied to Visual-Inertial SLAM (Extended Version).

Daniil Lisus, Mitchell R. Cohen, James Richard Forbes

CoRR, 2022

2021

Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes.

Daniil Lisus, Charles Champagne Cossette, Mohammed Shalaby, James Richard Forbes

IEEE Robotics Autom. Lett., 2021