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Michael Warren

4 accepted papers

2019

There's No Place Like Home: Visual Teach and Repeat for Emergency Return of Multirotor UAVs During GPS Failure

RA-L 2019

Redundant navigation systems are critical for safe operation of UAVs in high-risk environments. Since most commercial UAVs almost wholly rely on GPS, jamming, interference, and multi-pathing are real concerns that usually limit their operations to low-risk environments and visual line-of-sight. This

Cited by 64SourceScholar
2018

Learning Place-and-Time-Dependent Binary Descriptors for Long-Term Visual Localization

ICRA 2018poster

Vision-based navigation is extremely susceptible to natural scene changes. This can result in localization failures in less than a few hours after map creation. To combat short-term illumination changes as well as long-term seasonal variations, we propose using a place-and-time-dependent binary desc…

Cited by 19SourceScholar
2018

Level-Headed: Evaluating Gimbal-Stabilised Visual Teach and Repeat for Improved Localisation Performance

ICRA 2018poster

Operating in rough, unstructured terrain is an essential requirement for any truly field-deployable ground robot. Search-and-rescue, border patrol and agricultural work all require operation in environments with little established infrastructure for easy navigation. This presents challenges for sens…

Cited by 9SourceScholar
2016

Bridging the appearance gap: Multi-experience localization for long-term visual teach and repeat

IROS 2016poster

Vision-based, route-following algorithms enable autonomous robots to repeat manually taught paths over long distances using inexpensive vision sensors. However, these methods struggle with long-term, outdoor operation due to the challenges of environmental appearance change caused by lighting, weath…

Cited by 92SourceScholar