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pro vyhledávání: '"Jonathan K. Chang"'
Autor:
Deva Ramanan, Peiyun Hu, Benzun P. Wisely Babu, Trenton Tabor, Herman Herman, Jonathan K. Chang, Carl Wellington, Zachary Pezzementi
Publikováno v:
Journal of Field Robotics. 35:545-563
Person detection from vehicles has made rapid progress recently with the advent of multiple high-quality datasets of urban and highway driving, yet no large-scale benchmark is available for the same problem in off-road or agricultural environments. H
Autor:
Philip Koopman, Bill Drozd, David Guttendorf, Samuel Yim, Michael Wagner, Trenton Tabor, Jonathan K. Chang, Zachary Pezzementi
Publikováno v:
SSRR
We introduce a method to evaluate the robustness of perception systems to the wide variety of conditions that a deployed system will encounter. Using person detection as a sample safety-critical application, we evaluate the robustness of several stat
Autor:
Peter Rander, Jonathan K. Chang, Michal Perdoch, Herman Herman, David McAllister Bradley, Anthony Stentz
Publikováno v:
IROS
A key challenge of developing robots that work closely with people is creating a user interface that allows a user to communicate complex instructions to a robot quickly and easily. We consider a walking logistics support robot, which is designed to
Autor:
Janet C. Rutledge, Peggy B. Nelson, Juan Carlos Tejero-Calado, Russell R. Williams, Jonathan K. Chang
Publikováno v:
ICASSP
Multichannel amplitude compression processing is used to reduce the level variations of speech to fit the reduced dynamic ranges of listeners with sensorineural hearing loss. This processing, however, can result in smearing of temporal information, a