Autonomous Vehicle Parking Monitoring via Dynamic Viewpoint Adjustment
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Solution Overview
Problem
Autonomous vehicles face challenges in monitoring their surroundings during parking processes, particularly when users are not actively watching, leading to potential accidents due to inadequate remote monitoring information.
Innovation Solution
An autonomous vehicle system that detects external obstacles and user information to adjust its control and generate monitoring information, including viewpoint and screen scale changes, to provide users with real-time situational awareness, and prioritizes user input based on whether the user is watching the remote device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the autonomous vehicle provides unconditional monitoring information (current location, target parking location, simple image information), then the user can obtain basic vehicle status, but the monitoring information is not suitable for the current situation and fails to provide adequate situational awareness
Solution Approach 1:
The system dynamically changes monitoring information parameters (viewpoint, screen scale, information type) based on the autonomous vehicle's current situation such as obstacle detection results and parking progress, transforming static unconditional information provision into dynamic situation-adaptive information delivery
Solution Approach 2:
The monitoring information system transitions from a static state to a dynamic state by continuously adjusting the type, viewpoint, and scale of information provided based on real-time detection of obstacles, vehicle position, and parking status, ensuring information relevance to current situation
2Reliability
If the autonomous vehicle changes control based on external information (obstacles), user information (watching status), or internal information (vehicle function), then the situational awareness and safety are improved, but the control system complexity increases
Solution Approach 1:
The system implements multi-source feedback mechanisms by continuously receiving external information from obstacle detection devices, user information from remote devices about watching status, and internal information from vehicle sensors, then adjusting control strategies based on this feedback loop to improve parking safety
Solution Approach 2:
The system performs preliminary control adjustments by proactively changing control parameters before potential hazards occur, such as adjusting monitoring information in advance when obstacles are detected or when user watching status changes, preventing rather than just reacting to problems
Data Source
AI summary
An autonomous vehicle include an object detection device configured to detect external information about the autonomous vehicle, a communication device configured to receive user information from a remote device, and one or more processors. The one or more processors are configured to: determine internal information about the autonomous vehicle; change control of the autonomous vehicle based on at least one of the external information, the user information, or the internal information; and transmit, to the remote device, monitoring information corresponding to the changed control of the autonomous vehicle.