A novel fusion framework for robust human tracking by a service robot
- Submitting institution
-
Edge Hill University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22452292
- Type
- D - Journal article
- DOI
-
10.1016/j.robot.2017.05.001
- Title of journal
- Robotics and Autonomous Systems
- Article number
- -
- First page
- 134
- Volume
- 94
- Issue
- -
- ISSN
- 0921-8890
- Open access status
- Technical exception
- Month of publication
- May
- Year of publication
- 2017
- 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
-
3
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
