Adaptive Path Planning for Perpendicular Parking Efficiency
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Solution Overview
Problem
Existing automatic parking technologies fail to adjust the parking path dynamically, leading to prolonged parking times and inefficient parking processes in perpendicular parking spaces.
Innovation Solution
A path planning method that detects the positional relationship and distance between a vehicle's rear axle center and a perpendicular parking space's longitudinal centerline, determining optimal parking patterns (herringbone or C-shaped) to minimize the parking path, adjusting vehicle maneuvers accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed parking path is adopted, then the parking process is simple to implement, but the parking time is long and the parking efficiency is not good
Solution Approach 1:
The patent applies dynamics by transforming the fixed parking path into a dynamic, adjustable path. The system detects the vehicle's real-time position relative to the parking space centerline and dynamically selects between different parking patterns (first herringbone, second herringbone, or C-shaped) based on the detected distance. This allows the parking path to adapt to different initial positions, optimizing parking efficiency while maintaining implementation simplicity through automated pattern selection.
2Loss of time
If the vehicle uses ultrasonic perception to identify parking spaces, then the detection method is simple, but the vehicle can only identify the parking space after fully traversing it, leading to longer parking time
Solution Approach 1:
The patent applies preliminary action by enabling the vehicle to identify the parking space in advance using camera perception before fully traversing it. The system detects the parking space centerline and calculates the vehicle's position relative to it during the approach phase, allowing the path planning algorithm to determine the optimal parking pattern early in the process. This preliminary identification significantly reduces parking time compared to waiting until the vehicle has fully traversed the space.
Data Source
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AI summary
The present invention discloses a path planning method for automatic parking in a perpendicular parking space, and the method includes steps: detecting a positional relationship and distance between a center point of a rear axle of a current vehicle and a longitudinal centerline of a target perpendicular parking space; determining a corresponding optimal parking pattern according to the positional relationship and distance between the center point and the longitudinal centerline, where the optimal parking pattern includes at least: a first herringbone parking pattern, a second herringbone parking pattern, and a C-shaped parking pattern; and automatically parking the vehicle in the target perpendicular parking space according to the optimal parking pattern. The present invention further provides a system, an apparatus, a storage medium, and a vehicle associated therewith. The present invention can shorten a total parking time and improve parking efficiency.