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Bangrui Liu

dblp:144/6029 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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
Motion planning and robot control · 54% Multi-agent systems · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › agent-based simulation
crowd simulation
0.212014
Real-time path planning in emergency using non-uniform safety fields · VR 2014
Knowledge, reasoning and agents › Multi-agent systems › agent-based simulation › crowd simulation
evacuation simulation
0.212014
Real-time path planning in emergency using non-uniform safety fields · VR 2014
Robotics › Motion planning and robot control
path planning
0.212014
Real-time path planning in emergency using non-uniform safety fields · VR 2014
Robotics › Motion planning and robot control › path planning
real-time path planning
0.212014
Real-time path planning in emergency using non-uniform safety fields · VR 2014
Robotics › Motion planning and robot control
collision avoidance
0.112014
Real-time path planning in emergency using non-uniform safety fields · VR 2014

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

safety field · 0.2potential field · 0.2
YearPublicationVenuePosition
2014 Real-time path planning in emergency using non-uniform safety fields
abstract
We present a novel approach to direct virtual evacuees in emergency using non-uniform safety fields. The safety fields uses safety level to describe the danger degrees corresponding to the current situation of their positions. Our method also uses spread potential to generate smooth escape routes. We also combine our method with the most current agent-based collision avoidance algorithm to prevent oscillation. In practice, our algorithm can perform real-time navigation for dozens of evacuees in emergency scenarios.
Bangrui Liu, Aimin Hao
VR1