Perception of bimodal warning cues during remote supervision of autonomous agricultural machines
Agricultural machines that are fully autonomous will still need human supervisors to monitor and troubleshoot system failures. Recognising the emergency as soon as possible is crucial to reduce adverse effects. The ability of humans to detect visual, auditory, or tactile cues is usually enabled by w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2025-06-01
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| Series: | Research in Agricultural Engineering |
| Subjects: | |
| Online Access: | https://rae.agriculturejournals.cz/artkey/rae-202502-0005_perception-of-bimodal-warning-cues-during-remote-supervision-of-autonomous-agricultural-machines.php |
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