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IJRR
2010
173views more  IJRR 2010»
14 years 8 months ago
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is b...
Ryan N. Smith, Yi Chao, Peggy Li, David A. Caron, ...
ISCA
2012
IEEE
261views Hardware» more  ISCA 2012»
13 years 7 days ago
RAIDR: Retention-aware intelligent DRAM refresh
Dynamic random-access memory (DRAM) is the building block of modern main memory systems. DRAM cells must be periodically refreshed to prevent loss of data. These refresh operation...
Jamie Liu, Ben Jaiyen, Richard Veras, Onur Mutlu
ECCV
2004
Springer
15 years 11 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
CVPR
2003
IEEE
15 years 11 months ago
Resolution vs. tracking error: zoom as a gain controller
During tracking, lens zoom acts as a gain between scene dynamics and fixation errors, providing a trade-off between maximising resolution and minimising tracking error. Using a li...
Ben Tordoff, David W. Murray
RAS
2006
111views more  RAS 2006»
14 years 9 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...