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Volumn 27, Issue 6, 2013, Pages 431-443

A Gaussian process-based RRT planner for the exploration of an unknown and cluttered environment with a UAV

Author keywords

Gaussian processes; Information theoretic exploration; Map building; Rapidly exploring random tree; Unmanned aerial vehicle

Indexed keywords

CLUTTERED ENVIRONMENTS; COMPLEX ENVIRONMENTS; DIFFERENTIAL CONSTRAINTS; EXPLORATION MISSIONS; GAUSSIAN PROCESSES; MAP BUILDING; RAPIDLY-EXPLORING RANDOM TREES; ROTARY UNMANNED AERIAL VEHICLES;

EID: 84875920978     PISSN: 01691864     EISSN: 15685535     Source Type: Journal    
DOI: 10.1080/01691864.2013.756386     Document Type: Article
Times cited : (121)

References (20)
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    • Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies
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    • An efficient path planning and control algorithm for RUAV's in unknown and cluttered environments
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.