AR Trajectory Control for User-Guided Vehicle Maneuvering
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Solution Overview
Problem
Current technologies for monitoring and planning the movement of transportation devices, such as vehicles, lack the ability for external users to actively influence and control the trajectory, especially in scenarios like automated parking or manual maneuvering, where real-time interaction and obstacle recognition are crucial.
Innovation Solution
A method and device that utilize augmented reality displays on mobile devices to receive and transmit information about a transportation device's trajectory, allowing users to input corrections and adjustments through intuitive interfaces, integrating camera data and sensor information for enhanced control and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated movement planning is implemented in transportation devices, then productivity and automation extent are improved, but user control capability and safety deteriorate due to lack of external intervention
Solution Approach 1:
The patent introduces an external mobile device as an intermediary between the user and the automated transportation device. This mediator enables bidirectional communication: the transportation device sends trajectory information to the mobile device, and the user can send correction inputs back to the device. This resolves the contradiction by maintaining automation while restoring user control through an intermediate interface.
Solution Approach 2:
The system implements a feedback loop where the automated transportation device continuously transmits its planned trajectory to the user's mobile device, and the user can provide corrective feedback when hazards are detected. This feedback mechanism allows the automated system to remain operational while being可调 by human input, thus improving both automation extent and user control capability simultaneously.
2Measurement precision
If sensor systems are relied upon for trajectory monitoring, then measurement precision is improved, but reliability deteriorates when sensor accuracy is insufficient or obstacles are undetected
Solution Approach 1:
The patent implements a feedback mechanism where external users can observe the trajectory and provide corrective inputs when they detect obstacles or hazards that the sensor system may have missed. This human-in-the-loop feedback complements the sensor system, improving reliability without compromising measurement precision.
Solution Approach 2:
The monitoring function is segmented between the automated sensor system of the transportation device and the external observation capability of the user's mobile device. This segmentation allows each component to perform its specialized function while the combination provides enhanced reliability through multiple independent detection channels.
3Reliability
If complex sensor systems are deployed for obstacle detection, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The patent leverages the user's existing mobile device as an additional detection channel. Instead of adding complex sensors to the transportation device, the system uses the user's smartphone or tablet with its own camera and sensors to contribute to obstacle detection. This self-service approach improves reliability without increasing the complexity of the transportation device itself.
Solution Approach 2:
The user's mobile device serves multiple functions: it displays trajectory information, provides an additional obstacle detection channel through its camera and sensors, and serves as the communication interface for sending correction inputs. This multi-functionality improves reliability without requiring dedicated complex detection systems on the transportation device.
Data Source
AI summary
The invention relates to a method, to a device, and to a computer-readable storage medium with instructions for monitoring the movement of a transportation device. In one embodiment, first, information about the trajectory of the transportation device is received by a mobile device. The trajectory is then displayed on a display unit of the mobile device in the form of an augmented reality representation. In response thereto, an input of the user of the mobile device for influencing the trajectory is detected. Finally, information is transmitted to the transportation device on the basis of the input of the user.