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Manabu Nakao

dblp:76/439 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 50% Embedded and real-time systems · 50%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › real-time embedded systems › multimedia embedded systems
embedded vision system		 0.112006
Embedded Vision System for Mobile Robot Navigation · ICRA 2006
Hardware accelerators and domain-specific architectures
vision accelerator		 0.112006
Embedded Vision System for Mobile Robot Navigation · ICRA 2006
Image and video processing › motion estimation
block matching		 0.012006
Embedded Vision System for Mobile Robot Navigation · ICRA 2006
Image and video processing › feature extraction
image feature extraction		 0.012006
Embedded Vision System for Mobile Robot Navigation · ICRA 2006

Methods — techniques the papers use, named apart from their topics

systolic array · 0.1dedicated LSI · 0.1DSP · 0.1
YearPublicationVenuePosition
2006 Embedded Vision System for Mobile Robot Navigation
abstract
We developed an embedded vision system that can accelerate the basic image processing functions for mobile robot navigation with compact hardware featuring low power consumption. The system is composed of a digital signal processor (DSP) and a dedicated LSI for low-level image processing, specifically for spatial filtering, feature extraction, and block matching operations. The image processing LSI has a dedicated systolic array processor consisting of 64 processing elements to accelerate basic block operations for image feature calculation and correlation-based image matching. The power consumption is only 10 W, about one-seventh that of a typical Pentium 4 personal computer, but the processing speed for correlation matching is roughly three times faster than such a system. With this vision system, we implemented a stereo-vision based navigation algorithm on our mobile service robot and performed a visual navigation experiment in a building hallway
Naoyuki Sawasaki, Manabu Nakao, Yoshinobu Yamamoto, Keiju Okabayashi
 ICRA2