Individual-tree detection
Review and comparison of remote-sensing processing pipelines.
Funded Project · Forest AI
AI & Remote Sensing for Forest Machines
Artificial intelligence and remote sensing technologies for the automation of forestry machinery. Principal Investigator: Liudmila A. Steshina.
Funding
RSF 25-26-00534
Development of artificial intelligence and remote sensing technologies for the automation of forest machines.
AIRemote sensingForest machinesAutomation
Research direction
Perception as a layer of forest-machine intelligence
The project connects remote-sensing pipelines, individual-tree detection and classification with the wider CoHMI programme in navigation and operator support. The scientific objective is not merely scene recognition but information that can be used by an automated or human-supervised machine.
Connected outputs
Remote sensing → environment model → automation
Species classification
AI methods for extracting operationally relevant forest information.
Environment perception
Data structures useful for navigation, planning and operator support.
Human supervision
Automation designed to remain compatible with human-in-the-loop operation.