Encounter
Map approach paths, occlusion, posture, speed, clothing and animal behaviour.
Deployment evaluation · 16
Validate detection, stopping, exclusion, supervision and recovery for workers, bystanders, children and animals in real field layouts.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Map approach paths, occlusion, posture, speed, clothing and animal behaviour.
Measure sensing coverage, response, stopping and residual implement hazard.
Control access, communication, restart authority and incident learning.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
Which encounter classes were physically tested?
Does the implement reach a safe state too?
How are authorised people distinguished from intrusions?
Who confirms the area before restart?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Encounter and occlusion hazard analysis
Detection-to-stop validation with final implement
Access, restart and incident records
Scope boundary
Passing an obstacle-detection test does not prove safety for every human or animal encounter, implement or environmental condition.
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Source dates and review status remain visible; external sources open in a new tab.
Sets design principles for obstacle protective systems and manufacturer information on safe working practices and residual risks.
Addresses systems intended to prevent unintended excursions beyond an autonomous operating-zone boundary.
Provides verification and validation principles for safety-relevant autonomous agricultural-machine functions under intended use and foreseeable misuse.