Publication: Asv: obstacles detection and avoidance
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering::Electrical and electronic engineering | |
| dc.contributor.author | Ong, Nai Fook | |
| dc.date.accessioned | 2024-10-02T06:29:43Z | |
| dc.date.available | 2024-10-02T06:29:43Z | |
| dc.date.issued | 2012-06-01 | |
| dc.description.abstract | There are a lot of unforeseen circumstances out in the sea such as rainstorm, unstable weather condition and pitching among others. These kinds of conditions cause a lot of loss of lives especially for personnel who work around the sea. Autonomous surface vehicle (ASV) refers to the vehicle which is able to operate without human operation. With ASV, dangerous tasks such as patrolling around the sea and detecting sea depth can be done, relieving humans from undertaking the jobs themselves. However, an intelligent ASV must be equipped with a strong obstacle detection and avoidance system. This study involves in the development of the obstacle detection and avoidance of the ASV by using image processing. The process involves camera initialization, background extraction, colour space conversion, hue plane extraction, hue plane parameter selection, binarization, drawing contours and direction determination in order to produce an obstacle detection and avoidance system with high accuracy. Besides, a certain threshold size of obstacles is set in order to filter out the unwanted noise so that the system can perform better. Generally, the system is able to detect the swimming pool boundary and most of the obstacles | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/20651 | |
| dc.language.iso | en | |
| dc.title | Asv: obstacles detection and avoidance | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |