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Quming Zhu

dblp:201/1487 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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.

Artificial intelligence
1 paper
Robot navigation and mapping · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
obstacle detection and avoidance		 0.011988
Structural pyramids for representing and locating moving obstacles in visual guidance of navigation · CVPR 1988
Robotics › Robot navigation and mapping
visual navigation		 0.011988
Structural pyramids for representing and locating moving obstacles in visual guidance of navigation · CVPR 1988
Image and video processing › image representation
image pyramid		 0.011988
Structural pyramids for representing and locating moving obstacles in visual guidance of navigation · CVPR 1988

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

orthogonal projection · 0.0collision prediction · 0.0
YearPublicationVenuePosition
1988 Structural pyramids for representing and locating moving obstacles in visual guidance of navigation
abstract
The author presents an image pyramidal approach for representing and locating moving obstacles in the visual guidance of navigation for mobile robots or autonomous land vehicles. The algorithm is based on the utilization of a structural representation of the image in pyramids. A thresholding and mapping scheme for generating the structural pyramids is described. Obstacles are represented and located in terms of the grid cells in structural pyramids. Orthogonal projections are applied to calculate the velocity and acceleration of the moving objects and predict possible collision.>
Quming Zhu
 CVPR1