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- Title
Unimodal and Multimodal Perception for Forest Management: Review and Dataset.
- Authors
da Silva, Daniel Queirós; dos Santos, Filipe Neves; Sousa, Armando Jorge; Filipe, Vítor; Boaventura-Cunha, José
- Abstract
Robotics navigation and perception for forest management are challenging due to the existence of many obstacles to detect and avoid and the sharp illumination changes. Advanced perception systems are needed because they can enable the development of robotic and machinery solutions to accomplish a smarter, more precise, and sustainable forestry. This article presents a state-of-the-art review about unimodal and multimodal perception in forests, detailing the current developed work about perception using a single type of sensors (unimodal) and by combining data from different kinds of sensors (multimodal). This work also makes a comparison between existing perception datasets in the literature and presents a new multimodal dataset, composed by images and laser scanning data, as a contribution for this research field. Lastly, a critical analysis of the works collected is conducted by identifying strengths and research trends in this domain.
- Subjects
SUSTAINABLE forestry; CRITICAL analysis; FORESTS &; forestry
- Publication
Computation, 2021, Vol 9, Issue 12, p127
- ISSN
2079-3197
- Publication type
Article
- DOI
10.3390/computation9120127