Auto Parking Path Control Using Target Area Boundaries
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Solution Overview
Problem
Current auto parking systems face inefficiencies and safety issues in complex driving environments, leading to low passage efficiency and potential collisions due to single-path planning based on user-selected parking spots.
Innovation Solution
A control method that allows for planning a movement path based on multiple boundaries of a target area selected by a user, adjusting the path to avoid obstacles, and enabling flexible path selection to improve safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single parking path is planned based on user-selected parking spot, then the auto parking system is simple to operate, but the passage efficiency is low and collision risk increases in complex environments
Solution Approach 1:
The patent divides the target parking area into multiple boundaries (first boundary, second boundary, etc.), allowing the system to plan multiple distinct paths to the same destination. This segmentation enables the vehicle to choose different routes based on real-time obstacle detection, improving passage efficiency while maintaining operational simplicity for the user.
Solution Approach 2:
The system dynamically adjusts the parking path based on detected obstacles. When an obstacle is detected on the current path, the system automatically switches to an alternative path without requiring user intervention. This dynamic adaptation resolves the contradiction by enabling complex path planning only when necessary, maintaining simplicity in clear environments.
2Reliability
If multiple paths are planned to improve passage efficiency, then the vehicle can avoid obstacles better, but the system complexity increases
Solution Approach 1:
By segmenting the target area into multiple boundaries, the system creates multiple discrete paths that can be independently evaluated for safety. This segmentation allows the vehicle to select the safest path while keeping the control logic manageable through clear boundary definitions.
Solution Approach 2:
The system continuously detects obstacles and provides feedback to the path planning module. When an obstacle is detected on the current path, the feedback triggers automatic switching to a pre-planned alternative path. This feedback mechanism improves safety while maintaining controlled system complexity through rule-based decision making.
3Ease of operation
If the vehicle follows a fixed path to the parking spot, then the control system is simple, but the user experience deteriorates when collisions or parking failures occur
Solution Approach 1:
The system implements automatic path adjustment by dynamically switching between multiple predefined paths based on real-time obstacle detection. This automated adaptation improves user experience by preventing collisions and parking failures without requiring the user to manually intervene or understand the complex path planning processes.
Solution Approach 2:
The system performs self-service by automatically detecting obstacles and selecting alternative paths without user input. The vehicle autonomously manages its own navigation challenges, improving user experience while maintaining a balance in automation extent through pre-planned path options.
Data Source
AI summary
The present disclosure relates to intelligent driving methods, apparatuses, and devices. An example method includes receiving a first instruction, controlling, according to the first instruction, a first interface to display a first icon, where the first icon indicates a first boundary and a second boundary of a target area of an intelligent driving device, and controlling, based on the first icon, the intelligent driving device to travel from the first boundary or the second boundary to the target area.