Search Results for author: Curtis Padgett

Found 4 papers, 0 papers with code

RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving

no code implementations29 Feb 2024 Jonas Frey, Shehryar Khattak, Manthan Patel, Deegan Atha, Julian Nubert, Curtis Padgett, Marco Hutter, Patrick Spieler

Furthermore, RoadRunner improves the system latency by a factor of roughly 4, from 500 ms to 140 ms, while improving the accuracy for traversability costs and elevation map predictions.

Autonomous Driving Autonomous Navigation +1

Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation

no code implementations30 Jan 2024 Chanyoung Chung, Georgios Georgakis, Patrick Spieler, Curtis Padgett, Ali Agha, Shehryar Khattak

We experimentally validate the applicability of our proposed approach for autonomous offroad robotic navigation in complex and unstructured terrain using real-world offroad driving data.

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching

no code implementations5 Mar 2021 Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric Kulczycki, Renaud Detry

This work informs the Mars Sample Return campaign on the choice of a site where Perseverance (R0) will place a set of sample tubes for future retrieval by another rover (R1).

Retrieval

DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments

no code implementations9 Feb 2021 Kamak Ebadi, Matteo Palieri, Sally Wood, Curtis Padgett, Ali-akbar Agha-mohammadi

Enabling fully autonomous robots capable of navigating and exploring large-scale, unknown and complex environments has been at the core of robotics research for several decades.

Loop Closure Detection Simultaneous Localization and Mapping

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