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pro vyhledávání: '"Jeremy Ryan Schiff"'
Publikováno v:
IROS
We consider the problem of tracking multiple moving robots using noisy sensing of inter-robot and inter-beacon distances. Sensing is local: there are three fixed beacons at known locations, so distance and position estimates propagate across multiple
Publikováno v:
Protecting Privacy in Video Surveillance ISBN: 9781848823006
IROS
IROS
To address privacy concerns with digital video surveillance cameras, we propose a practical, real-time approach that preserves the ability to observe actions while obscuring individual identities. In our proposed respectful cameras system, people who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6c6eea0566a2e62513a9506ec9638e4
https://doi.org/10.1007/978-1-84882-301-3_5
https://doi.org/10.1007/978-1-84882-301-3_5
Autor:
Ken Goldberg, Dezhen Song, D. Bazo, A. Kulkarni, Jeremy Ryan Schiff, V. Duindamx, Ron Alterovitz
Publikováno v:
CASE
Building on recent work in sensor-actuator networks and distributed manipulation, we consider the use of pure actuator networks for localization-free robotic navigation. We show how an actuator network can be used to guide an unobserved robot to a de
Publikováno v:
CASE
We consider the use of wireless sensor networks to automatically track "perceptive pallets" of materials in warehouses for the purpose of monitoring volumetric and spatial constraints. A combination of radio frequency and ultrasound chirping produces
Autor:
Martin J. Wainwright, Alexandros G. Dimakis, Jeremy Ryan Schiff, Dominic Antonelli, David Chu
Publikováno v:
IPSN
Large-scale sensor network applications require in-network processing and data fusion to compute statistically relevant summaries of the sensed measurements. This paper studies distributed message-passing algorithms, in which neighboring nodes in the
Autor:
Ken Goldberg, Jeremy Ryan Schiff
Publikováno v:
CASE
Our objective is to automatically track and capture photos of an intruder using a robotic pan-tilt-zoom camera. In this paper, we consider the problem of automated position estimation using a wireless network of inexpensive binary motion sensors. The