7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.RO2017★ 1 cited
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…
cs.RO2017★ 7 cited
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…
cs.RO2017
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,…