Automatic Parking Control Using External Path and Traffic Data
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Solution Overview
Problem
Existing automatic parking assistance systems are costly due to the need for powerful sensors and controllers, and they require higher reliability at each stage, leading to longer development cycles and increased complexity.
Innovation Solution
An in-vehicle device that communicates with an external computing device and sensing device to receive a parking navigation path and traffic information, allowing the vehicle to control parking maneuvers, detect potential collisions, and determine safety measures based on danger levels, without the need for powerful sensors and controllers on the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If powerful sensors and controllers with strong sensing and computing capability are used, then automatic parking assistance function is achieved, but system cost increases
Solution Approach 1:
The patent introduces an external computing device as an intermediary between the vehicle's simple controller and the complex sensing/computing requirements. The external device receives sensing data from both external and in-vehicle sensors, performs the complex path planning and collision detection computations, then sends control instructions back to the vehicle controller, thereby eliminating the need for expensive powerful onboard sensors and controllers.
Solution Approach 2:
The patent extracts the complex computing function from the vehicle system and places it in an external computing device. By taking out the heavy computational burden from the vehicle's onboard system, the patent enables automatic parking assistance using simpler, lower-cost vehicle-side hardware while maintaining high-level automation functionality.
2Reliability
If higher reliability requirements are imposed on each stage of automatic parking assistance, then safety is ensured, but development cycle lengthens
Solution Approach 1:
The patent segments the automatic parking assistance system into distinct functional modules: external sensing devices for environmental perception, external computing devices for path planning and collision detection, in-vehicle sensors for supplementary data, and vehicle controllers for execution. This modular segmentation allows each component to be developed and validated independently, improving reliability while reducing overall development cycle time.
Data Source
AI summary
An automatic parking assistance system, an in-vehicle device and an automatic parking assistance method. The in-vehicle device comprises a communication interface for receiving a parking navigation path and traffic information; and a parking controller coupled with the communication interface, the parking controller being configured to: acquire the traffic information and the parking navigation path; control vehicle parking maneuvers based on the parking navigation path; judge whether there is a potential collision object with respect to the vehicle based on the traffic information; in the case that the judgment indicates there is no potential collision object, control the vehicle to travel along the parking navigation path; in the case that the judgment indicates there is a potential collision object, determine a danger level of the potential collision object based on the traffic information and determine safety measures corresponding to the danger level.


