3D Map Parking Control for Autonomous Vehicle Space Assignment
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Solution Overview
Problem
Conventional parking control systems for autonomous vehicles fail to quickly and safely guide them to empty parking spaces, leading to congestion and inefficiencies due to lack of real-time monitoring and accurate route calculation, and often result in incorrect assignment of parking spaces.
Innovation Solution
A parking control system that uses a 3D electronic map to monitor and manage the location and movement of autonomous vehicles, providing a driving trajectory and guiding route to selected parking spaces, with the option for direct parking or autonomous valet parking, and preventing reassignment of spaces once occupied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a conventional parking control system provides only a guiding route from current location to empty parking space, then the system structure is simple, but the autonomous vehicle cannot move quickly and safely to the parking space
Solution Approach 1:
The system segments the parking control function into two parts: a central server that performs complex computation and route calculation, and autonomous vehicles that execute navigation. This segmentation allows the vehicle to move quickly using pre-calculated driving trajectories while the complex computation is handled by the server, resolving the contradiction between speed and system complexity.
Solution Approach 2:
The server performs preliminary actions by calculating driving trajectories and guiding routes in advance before the vehicle begins movement. By pre-processing the complex computation and providing ready-to-execute navigation instructions, the system enables the vehicle to move quickly without performing complex computations in real-time, thus resolving the contradiction between speed and complexity.
2Reliability
If the conventional parking control system assigns any empty parking space to autonomous vehicle, then the assignment process is simple, but the vehicle fails in parking when another autonomous vehicle occupies the assigned space
Solution Approach 1:
The server implements a feedback mechanism by monitoring the parking lot environment in real-time using sensor data and updating the parking space assignment based on current vehicle locations. When a parking space becomes occupied, the system receives feedback and reassigns alternative spaces, ensuring reliable parking completion while managing complexity through centralized coordination.
Solution Approach 2:
The server acts as an intermediary between autonomous vehicles and parking spaces, managing assignments and coordinating movements to prevent conflicts. This intermediary role allows multiple vehicles to be assigned parking spaces reliably without direct vehicle-to-vehicle communication, resolving the contradiction between reliability and system complexity.
3Productivity
If the conventional parking control system does not monitor vehicle locations in real time, then the system operation is simple, but congestion occurs in the parking lot and parking time increases
Solution Approach 1:
The server performs multiple functions including route calculation, real-time monitoring of vehicle locations, dynamic reassignment of parking spaces, and traffic flow management. By consolidating these diverse functions into a single multi-functional system, the patent achieves high parking efficiency through coordinated control while managing complexity through centralized architecture.
Solution Approach 2:
The system dynamically adjusts parking space assignments and driving trajectories based on real-time vehicle locations and parking lot conditions. This dynamic adaptation allows the system to prevent congestion and optimize parking efficiency by responding to changing conditions, resolving the contradiction between productivity and system complexity.
Data Source
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AI summary
A parking control system for an autonomous vehicle is provided. The parking control system includes a parking control device configured to monitor a location and movement of an autonomous vehicle which enters a parking lot, based on a 3D electronic map, calculate a driving trajectory to a parking space selected by a driver of the autonomous vehicle based on sensor data collected from various sensor in the parking lot and vehicle information received from the autonomous vehicle, and provide information about the calculated driving trajectory to the autonomous vehicle. The autonomous vehicle travels to the parking space based on the driving trajectory received from the parking control device and parks in the parking space.