A multi-modal utility to assist powered mobility device navigation tasks

Publication Type:
Conference Proceeding
Citation:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8755 pp. 300 - 309
Issue Date:
2014-01-01
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnailicsr14_final_submitted.pdfAccepted Manuscript version754.37 kB
Adobe PDF
© Springer International Publishing Switzerland 2014. This paper presents the development of a shared control systemfor power mobility device users of varying capability in order toreduce carer oversight in navigation. Weighting of a user’s joystick inputagainst a short-tem trajectory prediction and obstacle avoidancealgorithm is conducted by taking into consideration proximity to obstaclesand smoothness of user driving, resulting in capable users rewardedgreater levels of manual control for undertaking maneuvres that can beconsidered more challenging. An additional optional comparison with aVector Field Histogram applied to leader-tracking provides further activities,such as completely autonomous following and a task for the userto follow a leading entity. Indoor tests carried out on university campusdemonstrate the viability of this work, with future trials at a care homefor the disabled intended to show the system functioning in one of itsintended settings.
Please use this identifier to cite or link to this item: