Evaluation of Warning Methods for Remotely Supervised Autonomous Agricultural Machines
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Highlights: Humans who supervise autonomous agricultural machines require some type of warning to perceive abnormal conditions in the machine or its environment. Visual and tactile warnings were the most suitable warning methods ... ...
