202 citations · 375 across the 11 of their papers we have counts for
5 papers · 1 filter
Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sub-Linear Storage Cost
Litao Yu, Adam Jacobson, Michael Milford
Robotic and animal mapping systems share many challenges and characteristics: they must function in a wide variety of environmental conditions, enable the robot or animal to naviga…
Look No Further: Adapting the Localization Sensory Window to the Temporal Characteristics of the Environment
Jake Bruce, Adam Jacobson, Michael Milford
Many localization algorithms use a spatiotemporal window of sensory information in order to recognize spatial locations, and the length of this window is often a sensitive paramete…
Deja vu: Scalable Place Recognition Using Mutually Supportive Feature Frequencies
Adam Jacobson, Walter Scheirer, Michael Milford
Learning and recognition is a fundamental process performed in many robot operations such as mapping and localization. The majority of approaches share some common characteristics,…
Improving Condition- and Environment-Invariant Place Recognition with Semantic Place Categorization
Sourav Garg, Adam Jacobson, Swagat Kumar +1
The place recognition problem comprises two distinct subproblems; recognizing a specific location in the world ("specific" or "ordinary" place recognition) and recognizing the type…
Deep Learning Features at Scale for Visual Place Recognition
Zetao Chen, Adam Jacobson, Niko Sunderhauf +5
The success of deep learning techniques in the computer vision domain has triggered a range of initial investigations into their utility for visual place recognition, all using gen…