Combining temporal planning with probabilistic reasoning for autonomous surveillance missions
- Submitting institution
-
King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 92475385
- Type
- D - Journal article
- DOI
-
10.1007/s10514-015-9534-0
- Title of journal
- Autonomous Robots
- Article number
- -
- First page
- 181
- Volume
- 41
- Issue
- 1
- ISSN
- 0929-5593
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Representing the culmination of a sequence of papers https://www.aaai.org/ocs/index.php/ICAPS/ICAPS13/paper/view/5958, https://www.aaai.org/ocs/index.php/ICAPS/ICAPS14/paper/view/7932, https://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/13178, this presents a complete framework for performing plan-based guidance of a search-and-track system. The paper includes a rigorous formalisation and refinement of the approach in which a plan is constructed to take into account the moving distribution of likely target location based on the expected failure of earlier stages of search to find the target; if this expectation is not met, the target is found. The approach was used in a DSTL-ASUR project, sponsored by BAE, planning search by AUVs for underwater threats, such as seabed obstacles.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -