Distributed probabilistic map service

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2002, Pages 130-135

  Mahajan, Amit ^a   Ko, Jeffrey ^a   Sengupta, Raja ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATIC TARGET RECOGNITION; LEARNING SYSTEMS; MAPPING; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SENSORS;

CONDITIONAL DENSITY; DISTRIBUTED PROBABILISTIC MAP SERVICE; MULTIVEHICLE SYSTEMS; RANDOM WALK MODEL;

UNMANNED VEHICLES;

EID: 0036990610     PISSN: 01912216     EISSN: None     Source Type: Journal    
DOI: 10.1109/CDC.2002.1184480     Document Type: Article

References (4)

1. C. Papadimitriou, et al., How to learn an unknown environment I: The rectilinear case. Journal of the ACM, 45, (2): 215-245, Mar 1998.
2. Jeffrey Ko, et al., A Network-Centric UAV Organization for Search and Pursuit Operations. Accepted for IEEE Aerospace Conference, March 2002.
3. Joao Hespanha, et al., Probabilistic Map Building for aircraft tracking Radars, Proc. of the 2001 Amer. Contr. Conf., June 2001.
4. Shankar Sastry, et al., Multiple-Agent Probabilistic Pursuit-Evasion Games. Proceedings of the 38th Conference on Decision and Control, Dec 1999