Parking Assistance Path Planning with Driver Direction Input
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Solution Overview
Problem
Existing parking assistance systems for motor vehicles require the vehicle to be guided to a predetermined starting position, which can be hindered by obstacles, leading to incomplete parking maneuvers due to the inability to account for unforeseen objects detected by the driver but not by the system.
Innovation Solution
The method allows the driver to specify the direction of the first shunting maneuver, enabling path planning based on their input, allowing for adjustments in case of obstacles and reducing the need for complex system knowledge, thus improving the system's functionality and robustness by integrating driver direction into path control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system requires the vehicle to be guided to a predetermined starting position, then automated path calculation can be performed, but the system cannot account for obstacles detected by the driver but not by the sensors
Solution Approach 1:
The system pre-calculates multiple alternative paths (first path, second path, third path) before the maneuver begins, allowing the driver to select from pre-prepared options that account for different obstacle scenarios. This resolves the contradiction by having path options ready in advance without requiring real-time recalculation when obstacles are detected.
Solution Approach 2:
The system dynamically adapts by allowing the driver to choose from multiple pre-calculated paths based on real-time observations. The path selection changes from static (single predetermined path) to dynamic (multiple selectable paths), enabling the system to respond to obstacles detected by the driver while maintaining automated path calculation benefits.
2Manufacturing precision
If the system provides precise automated guidance instructions, then parking accuracy is improved, but the driver cannot adjust for obstacles in the route
Solution Approach 1:
The automated guidance is segmented into multiple discrete path options (first path, second path, third path) rather than a single continuous instruction. The driver can select the appropriate segment that avoids obstacles while maintaining the precision benefits of automated calculation for the chosen path.
Solution Approach 2:
The system provides universal path calculation capability that serves multiple functions: automated precision guidance when no obstacles are present, and driver-selected alternative paths when obstacles are detected. This multi-functionality resolves the contradiction between automated precision and driver flexibility.
3Productivity
If the system calculates a single optimal path, then computational efficiency is improved, but the system lacks robustness when obstacles block the calculated path
Solution Approach 1:
Multiple alternative paths are pre-calculated and stored before the maneuver begins, rather than calculating alternatives in real-time when obstacles are detected. This maintains computational efficiency while ensuring robustness, as all path options are ready for immediate selection without requiring slow real-time recalculation.
Solution Approach 2:
The system changes the parameter of path calculation from generating one optimal path to generating multiple alternative paths with different characteristics (e.g., different directions, different lengths). This allows the driver to select from varied options based on obstacle locations while maintaining calculation efficiency through pre-computation.
Data Source
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Figure 3.1~4.2
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AI summary
The method involves determining surrounding of a motor vehicle (7) and finding suitable parking space (1). The method involves computing a course (9,13,27,29), along which the motor vehicle is parked into the parking space, on the basis of the current position of the motor vehicle, and displaying ranking course which is driven in dependence of one of the drivers given direction.