Mobile Machine Route Return Guidance After Manual Deviation
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Solution Overview
Problem
Existing systems struggle to efficiently assist mobile machines in returning to their autonomous driving routes after deviating due to obstacles, especially when switching to remote manual driving.
Innovation Solution
A system utilizing a management device and autonomous mobile machines equipped with RTK-GNSS and various sensors to detect deviations, calculate return positions, and provide visual and auditory assistance to manual drivers for re-routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the mobile machine switches to remote manual driving to avoid obstacles, then the mobile machine can deviate from the autonomous driving route to avoid obstacles, but it becomes difficult to return the mobile machine to the travel route
Solution Approach 1:
The system provides real-time feedback to the remote operator by calculating and transmitting the return position (where the mobile machine should be guided to resume autonomous driving) and the return route (directional guidance from current position to return position). This feedback loop enables the operator to efficiently guide the machine back to the autonomous driving route after obstacle avoidance maneuvers.
2Productivity
If the mobile machine returns to the travel route after deviation, then the autonomous driving can be restarted, but the process of returning to the travel route is not always easy especially by remote manual driving
Solution Approach 1:
The system performs preliminary calculations of the return position and return route before the operator executes the return maneuver. By pre-computing the optimal return path and target position, the system prepares all necessary guidance information in advance, enabling the operator to execute the return to autonomous driving mode quickly and efficiently without trial-and-error maneuvers.
3Adaptability or versatility
If remote manual driving is used to avoid obstacles, then the mobile machine can temporarily deviate from the autonomous driving route, but the operational efficiency is reduced
Solution Approach 1:
The system maintains high operational efficiency during remote manual driving by providing continuous feedback on the return position and return route. This enables the operator to make informed decisions and execute efficient maneuvers to return to autonomous driving mode, minimizing the time spent in less efficient manual operation and maintaining overall productivity.
Data Source
AI summary
A driving assistance method for assisting driving of a mobile machine, the driving assistance method includes: executing processes of, by one or more processors, acquiring at least one of a first position on an autonomous driving route and a first angle indicating a direction in which the mobile machine travels at the first position when the mobile machine deviates from the autonomous driving route by switching from autonomous driving to manual driving, and outputting driving assistance information for assisting the manual driving according to at least one of a difference between the first position and a second position that is a position of the mobile machine traveling by the manual driving, and a difference between the first angle and a second angle indicating a direction in which the mobile machine is traveling at the second position.