TY - GEN
T1 - A probabilistic spatial data model
AU - Kornatzky, Yoram
AU - Shimony, Solomon Eyal
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1993.
PY - 1993/1/1
Y1 - 1993/1/1
N2 - Spatial information in autonomous robot tasks is uncertain due to measurement errors, the dynamic nature of the world, and an incompletely known environment. We present a probabilistic spatial data model capable of describing relevant spatial data, such as object location, shape, composition, and other parameters, in the presence of uncertainty. Uncertain spatial information is modeled through continuous probability distributions on values of attributes. The data model is designed to support our visual tracking and navigation prototype.
AB - Spatial information in autonomous robot tasks is uncertain due to measurement errors, the dynamic nature of the world, and an incompletely known environment. We present a probabilistic spatial data model capable of describing relevant spatial data, such as object location, shape, composition, and other parameters, in the presence of uncertainty. Uncertain spatial information is modeled through continuous probability distributions on values of attributes. The data model is designed to support our visual tracking and navigation prototype.
UR - http://www.scopus.com/inward/record.url?scp=84911328223&partnerID=8YFLogxK
U2 - 10.1007/3-540-57234-1_30
DO - 10.1007/3-540-57234-1_30
M3 - Conference contribution
AN - SCOPUS:84911328223
SN - 9783540572343
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 337
EP - 348
BT - Database and Expert Systems Applications - 4th International Conference, DEXA 1993, Proceedings
A2 - Marik, Vladimir
A2 - Lazansky, Jiri
A2 - Wagner, Roland R.
PB - Springer Verlag
T2 - 4th International Conference on Database and Expert Systems Applications, DEXA 1993
Y2 - 6 September 1993 through 8 September 1993
ER -