Vehicle Visibility Data Collection for Overtaking Assistance

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Solution Overview

Problem

Current methods for calculating visibility for overtaking assistants in vehicles using map data are imprecise, leading to inadequate support for drivers, as they do not accurately reflect real-world conditions due to obstacles and changing environmental factors.

Innovation Solution

A method that generates a visibility collection by determining the current visibility distance using vehicle sensor data, predicting changes in visibility obstructions based on zoning and vegetation cycles, and adjusting the collection using prior knowledge and data from various databases, including environmental and weather data, to provide more accurate and dynamic visibility information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If visibility distance is calculated from map data, then the overtaking assistant is supported, but the visibility distance does not always correspond to reality and the support is inaccurate

Engineering Contradiction:
Improveaccuracy of visibility distanceVSAvoidreal-world visibility conditions
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system performs preliminary actions by collecting visibility data from multiple vehicles and storing it in a database before it is needed for overtaking decisions. Visibility distances are determined in advance from map data and sensor measurements, and changes in visibility obstructions are predicted based on development changes retrieved from databases, ensuring accurate visibility information is available when required

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously collecting actual visibility measurements from vehicles and comparing them with map data predictions. The visibility collection is generated and updated based on transmitted visibility distances from multiple vehicles, allowing the system to learn from real-world conditions and improve the accuracy of visibility information for overtaking assistance

Inventive Principle:
Principle #23Feedback

2Measurement precision

If visibility collection is generated using sensor data from motor vehicles, then accuracy is improved, but data transmission and processing complexity increases

Engineering Contradiction:
Improvevisibility distance measurementVSAvoiddata transmission and processing system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system achieves universality by using a centralized visibility collection database that serves multiple vehicles and purposes. The same database infrastructure stores both map data and actual sensor measurements from multiple vehicles, allowing the system to provide visibility information for overtaking assistance while also enabling future applications such as route planning and hazard detection without requiring separate systems

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an intermediary visibility collection database that mediates between individual vehicle sensors and the overtaking assistance system. Instead of each vehicle processing raw sensor data independently, the database acts as an intermediary that aggregates, validates, and stores visibility measurements from multiple vehicles, reducing the processing burden on individual vehicles and enabling more accurate collective visibility assessment

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If visibility collection is updated cyclically or on request, then data currency is maintained, but the system does not account for changing environmental conditions

Engineering Contradiction:
Improvevisibility data currencyVSAvoidresponse to environmental changes
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system implements dynamics by making the visibility collection update mechanism adaptive rather than static. Instead of updating at fixed intervals or only on request, the system predicts changes in visibility obstruction based on development changes such as vegetation growth cycles, construction projects, and seasonal variations. This allows the visibility collection to be dynamically updated in response to predicted environmental changes, maintaining both currency and adaptability

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP3698339B1Method for producing a collection of visibility data and device for collecting visibility data
Publication Date: 2024.02.14 CONTINENTAL AUTONOMOUS MOBILITY GERMANY GMBH
  • EP3698339B1 patent drawing

AI summary

The invention relates to a method for producing a collection (9) of visibility data, according to which the following steps are carried out: determining a current position (2) of at least one motor vehicle (1); determining a current visibility (4) describing how far ahead a driver of the motor vehicle (1) can see on the upcoming roadway (3), in the current position (2); transmitting the visibility (4) from the motor vehicle (1) to a device (8) for collecting visibility data; producing the collection (9) of visibility data on the basis of the transmitted visibility (4); predetermining an expected modification (12) to interference with visibility in position (2); and adapting the visibility (4) from the collection (9) of visibility data on the basis of the predetermined modification (12) to the interference with the visibility.