Vehicle Parking Assistance with Boundary Object Type Segmentation

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Solution Overview

Problem

Existing parking assistance systems for vehicles lack the ability to differentiate between various types of boundary objects and their geometric positions, leading to unreliable and inefficient parking maneuvers, especially in constrained spaces.

Innovation Solution

A method and device that assign boundary object types to detected objects and generate parking information based on their type and position, considering both geometric and qualitative aspects, to determine the feasibility of a parking maneuver, using a sensor array, analyzer unit, and memory unit to provide precise guidance to the driver.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a sensor array detects parking spaces and boundary objects while the vehicle drives past, then parking space detection capability is provided, but the system cannot differentiate between various types of boundary objects and their geometric positions, leading to unreliable parking maneuver assessment

Engineering Contradiction:
Improveboundary object detection precisionVSAvoidparking maneuver reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system segments the detection task by dividing boundary objects into different categories (e.g., curbs, walls, other vehicles, pedestrians) and assigns specific geometric parameters to each detected object. This segmentation allows the system to analyze each object type's characteristics separately, improving both detection precision and the reliability of parking maneuver assessment by considering object-specific constraints.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies local quality analysis by evaluating different regions of the parking space based on the specific properties of boundary objects detected in those regions. For example, the system assesses the front boundary differently from side or rear boundaries, and adjusts parking feasibility based on the local characteristics of each boundary object type and its geometric position, rather than treating all boundaries uniformly.

Inventive Principle:
Principle #3Local quality

2Ease of operation

If the system only displays parking spaces suitable based on size, then simple size-based filtering is provided, but qualitative characteristics of the parking space and boundary objects are not considered

Engineering Contradiction:
Improveparking space selection simplicityVSAvoidparking space quality information
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The system performs preliminary analysis of boundary objects and parking space qualities before presenting options to the driver. It pre-evaluates each detected parking space by analyzing the types and positions of boundary objects, calculating geometric parameters, and assessing parking feasibility in advance. This preliminary action filters out unsuitable spaces before display, maintaining ease of operation while preserving quality information in the background assessments.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary assessment layer between raw sensor data and driver decision-making. This intermediary layer analyzes boundary object types, determines geometric parameters, evaluates parking space qualities, and translates complex sensor information into simplified suitability assessments. The driver receives easy-to-understand recommendations while the system retains comprehensive quality information for informed decision-making.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Device complexity

If the system provides basic parking assistance without boundary object type differentiation, then device complexity is reduced, but parking maneuver precision and adaptability deteriorate

Engineering Contradiction:
Improvesystem structure complexityVSAvoidparking space assessment adaptability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system employs parameter changes by dynamically adjusting assessment criteria based on the detected boundary object types and their geometric parameters. Instead of using fixed complexity algorithms, the system modifies evaluation parameters (such as acceptable distance margins, maneuver feasibility thresholds) according to the specific characteristics of each boundary object, enabling adaptable parking assessment without requiring overly complex system architecture.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9165464B2Method and device for providing assistance during a parking maneuver of a vehicle
Publication Date: 2015.10.20 ROBERT BOSCH GMBH
  • US9165464B2 patent drawing
  • US9165464B2 patent drawing
  • US9165464B2 patent drawing

AI summary

A method for providing assistance during a parking maneuver of a motor vehicle into a parking space. The parking space and a boundary object located in the area of the parking space being detected by a sensor array while the vehicle is driving by the parking space. To simplify the parking maneuver, a boundary object type is assigned to the detected boundary object, and parking information relating to the feasibility of a parking maneuver into the parking space is generated. Furthermore, a device for providing assistance during a parking maneuver of a motor vehicle, into a parking space, having a sensor array for detecting a parking space and a boundary object located in the area of the parking space while the vehicle is driving by the parking space, having an analyzer unit connected to the sensor array, and having a memory unit.