Dynamic AR Route Guidance for UGV Collision Avoidance
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Solution Overview
Problem
Unmanned ground vehicles (UGVs) frequently collide with unspecified people while delivering goods, necessitating frequent stops and compromising delivery efficiency and user convenience.
Innovation Solution
An interference controller apparatus generates dynamic AR images on wearable devices to guide users around UGVs, indicating travel paths and danger zones based on UGV positions, routes, and properties like speed and congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UGVs stop frequently to avoid collisions with people, then collision safety is improved, but delivery productivity deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of a controller and wearable devices that mediate between the UGV and pedestrians. The controller calculates safe zones based on UGV trajectory and speed, then displays warning information to pedestrians through wearable devices. This intermediary approach allows the UGV to maintain continuous motion while pedestrians are alerted to avoid potential collision zones, eliminating the need for frequent stops.
Solution Approach 2:
The system implements feedback by continuously monitoring pedestrian positions and UGV motion parameters, then dynamically adjusting the displayed warning information on wearable devices. The controller receives real-time data about pedestrian locations and UGV speed/trajectory, processes this information to calculate safe zones, and provides feedback to pedestrians through visual warnings. This closed-loop feedback mechanism enables proactive collision avoidance without interrupting UGV delivery operations.
2Productivity
If UGVs travel at higher speeds, then delivery efficiency is improved, but collision risk deteriorates
Solution Approach 1:
The patent applies preliminary action by calculating safe zones and displaying warning information to pedestrians before the UGV reaches positions where collision risk would be highest. The controller proactively computes the safe zone based on current UGV trajectory and speed, then alerts pedestrians in advance through wearable devices. This preliminary warning allows pedestrians to move out of potential collision paths before the UGV arrives, enabling higher UGV speeds without proportionally increasing actual collision risk.
Solution Approach 2:
The system dynamically adjusts the safe zone calculations and warning displays based on real-time changes in UGV speed and trajectory. When the UGV travels at higher speeds, the controller calculates larger safe zones and provides more urgent warnings to pedestrians. This dynamic adaptation allows the system to maintain safety at higher speeds by adjusting the protective measures according to the actual motion parameters, rather than using fixed speed limits.
3Reliability
If the system provides detailed real-time guidance to users, then collision avoidance effectiveness is improved, but device complexity increases
Solution Approach 1:
The patent extracts the complex collision avoidance calculations from the UGV's main control system and places them in a separate, dedicated controller. The controller independently computes safe zones based on UGV trajectory and speed, then communicates only the essential warning information to pedestrians through wearable devices. This extraction separates the complex computational tasks from the UGV's navigation system, reducing the complexity burden on the UGV while maintaining effective collision avoidance.
Solution Approach 2:
The system applies local quality by providing targeted warning information only to pedestrians who are actually at risk of collision. The controller calculates which pedestrians are in or approaching the safe zone and provides warnings only to those individuals through their wearable devices. This localized approach avoids overwhelming all pedestrians with unnecessary information, reducing the perceived system complexity while maintaining high collision avoidance effectiveness for those who need the warning.
Data Source
AI summary
An interference controller apparatus performs a process for acquiring a first position at which an unmanned ground vehicle is positioned and a second position at which a wearable device worn by a user is positioned, respectively; a process for acquiring route information indicating a route on which the unmanned ground vehicle is to travel; a process for acquiring a property related to a traveling of the unmanned ground vehicle; a process for generating a first signal for displaying a first image indicating a direction and a path that the unmanned ground vehicle is to travel based on the first position and the route information; a process for generating a second signal for displaying a second image indicating a zone where an entry of a user wearing the wearable device is to be restricted, based on the first position, the second position, and the route information; and a process for transmitting the first signal and the second signal to the wearable device. The first signal is generated such that the first image dynamically changes to be displayed based on the property of the unmanned ground vehicle.