Optimal path planning using an improved A* algorithm for homeland security applications

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2006

Volumn , Issue , 2006, Pages 50-55

  Veeraswamy, Anand ^a   Amavasai, Bala ^a  

^a SHEFFIELD HALLAM UNIVERSITY   (United Kingdom)

Author keywords

Artificial intelligence; Homeland security; Path planning; Robotics; Search algorithms; Sensor networks

Indexed keywords

AD HOC NETWORKS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; SENSOR NETWORKS;

BREVE SIMULATION TOOL; HOMELAND SECURITY; SEARCH ALGORITHMS; SPACE COMPLEXITY;

MOTION PLANNING;

EID: 38049110979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Stuart Russell, Peter Norvig, A modern approach (Englewood Cliffs, NJ: Pearson Education, 2003).
2. Sven Behnke, Local Multiresolution Path Planning. In Proceedings of 7th RoboCup International Symposium, 2004, 332-343.
3. L. Kavraki, P. Svestka, J.C. Latombe, and M. Overmars, Probabilistic road maps for path planning in high-dimensional configuration spaces. IEEE Transactions on Robotics and Automation, 1996, 566-580.
4. Qun Li, Daniella Rus. Navigation Protocols in Sensor Networks, ACM Transactions on Sensor Networks (TOSN) 2005, 3-35.
5. Klein, J. Breve, A 3D simulation environment for the simulation of decentralized systems and artificial life, Proceedings of Artificial Life VIII, the 8th International Conference on the Simulation and Synthesis of Living Systems, 2002.
6. Y. Zou and K. Chakrabarty, Uncertainty-Aware Sensor Deployment Algorithms for Surveillance Applications, 2003, 261-272.
7. Stefan B.Williams, Hugh Durrant-Whyte, Gamini Dissanayake, Constrained Initialization of the Simultaneous Localization and Mapping Algorithm, In the International Journal of Robotics Research.2003, 7-8.