Acquiring medium models for sensing performance estimation

2005 Second Annual IEEE Communications Society Conference on Sensor and AdHoc Communications and Networks, SECON 2005

Volumn 2005, Issue , 2005, Pages 551-562

  Kansal, Aman ^a   Carwana, James ^a   Kaiser, William J ^a   Srivastava, Mani B ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDED PROCESSING PLATFORMS; PROTOTYPE HARDWARE; SENSOR NETWORKS;

ALGORITHMS; COMPUTER HARDWARE; CONFORMAL MAPPING; DATA REDUCTION; RELIABILITY THEORY; SENSORS;

TELECOMMUNICATION NETWORKS;

EID: 33845508396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAHCN.2005.1557107     Document Type: Conference Paper

References (19)

1. GJ Pottie and WJ Kaiser. Wireless integrated network sensors. Communications of the ACM, 43(5):51-58, 2000.
2. Y Rachlin, R Negi, and P Khosla. Sensing capacity for target detection. In IEEE Information Theory workshop, San Antonio, USA, October 2004.
3. RK Harle and A Hopper. Building world models by ray tracing within ceiling mounted positioning systems. In UbiComp 2003, pages 1-17, Seattle, WA, USA, October 2003.
4. Leica laser distancemeter. http://www.leica-geosystems.com.
5. Directed perception, http://www.dperception.com.
6. Stargate xscale processor platform, http://www.xbow.com/.
7. Janne Heikkila and Olli Silven. A four step camera calibration procedure with implicit image correction. In IEEE Computer Vision and Pattern Recognition, pages 1106-1112, 1997.
8. MWM Gamini Dissanayake, P Newman, S Clark, H F Durrant-Whyte, and M Csorba. A solution to the simultaneous localization and mapping (SLAM) problem. IEEE Transactions on Robotics and Automation, 17(3):229-241, June 2001.
9. H Choset. The wide world of mapping. WTEC Workshop: Review of US Research in Robotics.
10. H Moravec and A Elfes. High resolution maps from wide angle sonar. In IEEE International Conference on Robotics and Automation, pages 116-121, St. Louis, MO, 1985.
11. S Thrun and A Bücken. Integrating grid-based and topological maps for mobile robot navigation. In Proceedings of the AAAI Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, 1996.
12. R Smith, M Self, and P Cheeseman. Estimating uncertain spatial relationships in robotics. Autonomous Robot Vehicles, 1:167-193, 1990.
13. JJ Leonard, HF Durrant-Whyte, and IJ Cox. Dynamic map building for an autonomous mobile robot. International Journal of Robotics Research, 11(4):286-298, 1992.
14. D Kortenkamp and T Weymouth. Topological mapping for mobile robots using a combination of sonar and vision sensing. In Twelfth National Conference on Artificial Intelligence, pages 979-984, Menlo Park, July 1994. AAAI Press/MIT Press.
15. D Radhakrishnan and I Nourbakhsh. Topological localization by training a vision-based transition detector. In Proceedings of IROS 1999, volume 1, pages 468-473, October 1999.
16. S Haykin. Adaptive Filter Theory. Prentice Hall, 4th edition, 2001.
17. G Chen and D Kotz. A survey of context-aware mobile computing research. Technical Report TR2000-381, Dept. of Computer Science, Dartmouth College, November 2000.
18. G Biegel and V Cahill. A framework for developing mobile, context-aware applications. In IEEE Percom, Orlando, FL, March 2004.
19. M Batalin, M Rahimi, Y Yu, D Liu, A Kansal, G Sukhatme, WJ Kaiser, M Hansen, GJ Pottie, and D Estrin. Call and response: Experiments in sampling the environment. In ACM SenSys, November 2004.