Vehicle Parking Control Using Object Coordinate Difference

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Solution Overview

Problem

Current Parking Assistance Systems (PAS) face challenges in efficiently recognizing parking spaces when objects are stationary within the space, leading to repeated forward and backward vehicle movements, causing inconvenience to drivers as parking becomes impossible.

Innovation Solution

A vehicle control system equipped with a camera module and sensor modules that capture and process image and detecting data to determine parking types and position coordinates, calculating difference values to accurately recognize parking spaces and control vehicle parking, minimizing control frequency and enhancing computation speed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the PAS repeatedly moves the vehicle forward and backward to correct position, then the vehicle attempts to avoid the object, but the control frequency increases and computation time extends, causing driver inconvenience

Engineering Contradiction:
Improveparking accuracyVSAvoidcontrol time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary detection of objects in the parking space before initiating parking control. By using the camera module and sensor module to detect objects and calculate their position coordinates in advance, the system determines whether parking is possible before repeated control actions are taken, thereby avoiding unnecessary forward and backward movements and reducing control time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces repeated mechanical trial-and-error parking movements with a computational approach. The controller calculates position coordinates of detected objects, determines the parking space length by comparing coordinate differences with vehicle length, and makes parking feasibility decisions based on these calculations, substituting physical trial movements with intelligent computation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If the PAS uses traditional detection methods to recognize parking spaces, then the system can detect objects, but the computation speed decreases and control frequency increases when objects are present

Engineering Contradiction:
Improveparking space recognition accuracyVSAvoidcomputation speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary detection and coordinate calculation of objects before determining parking feasibility. By calculating the difference between position coordinates of detected objects and comparing it with vehicle length in advance, the system quickly determines whether a valid parking space exists, avoiding time-consuming repeated control cycles.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the detection parameter from simple object presence to precise position coordinate measurement. By using the camera module and sensor module to obtain position coordinates and calculating the difference between these coordinates, the system achieves accurate parking space recognition while maintaining fast computation through direct mathematical operations.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11325588B2Vehicle control system and vehicle control method
Publication Date: 2022.05.10 HL KLEMOVE CORP
  • US11325588B2 patent drawing
  • US11325588B2 patent drawing
  • US11325588B2 patent drawing

AI summary

Disclosed herein is a vehicle control system and a method of controlling the vehicle. The vehicle control system includes: at least one sensor module disposed in a vehicle to have a detecting area for the inside or the outside of the vehicle, configured to capture detecting data and to process the captured detecting data; and a controller configured to park the vehicle in a recognized parking space using position coordinates of each of at least two objects based at least in part on the processing of the detecting data.