Vehicle Driving Assistance for Static Object Type Differentiation

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Solution Overview

Problem

Existing vehicle driving assistance systems cannot provide appropriate driving assistance based on the type of static object detected, leading to inadequate alerting or collision avoidance strategies.

Innovation Solution

A vehicle driving assistance apparatus that uses sensors to differentiate between static vehicles and roadside objects, applying distinct thresholds and probability calculations to determine the appropriateness of assistance, with lower thresholds for static vehicles and higher thresholds for roadside objects to tailor alert timing and intensity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single threshold is used for detecting all static objects, then the detection system is simple to operate, but it cannot provide appropriate driving assistance tailored to different object types

Engineering Contradiction:
Improveadaptability to different object typesVSAvoidcomplexity of detection system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments static objects into two categories: static vehicles and roadside static objects. This segmentation allows the system to apply different thresholds and assistance strategies to each category, improving adaptability while maintaining manageable complexity through clear classification criteria

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different detection thresholds and assistance carrying-out conditions to different object types. Static vehicles use a first threshold with first driving assistance conditions, while roadside static objects use a second threshold with second driving assistance conditions, allowing locally optimized quality for each object type

Inventive Principle:
Principle #3Local quality

2Reliability

If driving assistance is provided for all detected static objects, then collision avoidance coverage is maximized, but unnecessary alerts increase for non-critical objects

Engineering Contradiction:
Improvereliability of collision avoidanceVSAvoidunnecessary alerts
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The patent applies different driving assistance carrying-out conditions to different object types. For static vehicles, the first driving assistance carrying-out condition is applied, while for roadside static objects, the second driving assistance carrying-out condition is applied. This local differentiation reduces unnecessary alerts while maintaining reliable collision avoidance for critical objects

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

Instead of applying a single uniform assistance condition to all static objects, the patent inverts the approach by applying different conditions based on object type. This inversion allows the system to be more selective about when to provide assistance, reducing false alarms while maintaining safety

Inventive Principle:
Principle #13The other way round (Inversion)

Data Source

PatentEP4009302B1Vehicle driving assistance apparatus
Publication Date: 2024.02.28 TOYOTA JIDOSHA KK
  • EP4009302B1 patent drawingFigure 1
  • EP4009302B1 patent drawingFigure 2

AI summary

A vehicle driving assistance apparatus has a sensor that detects an object around an own vehicle; and a processing apparatus that determines whether the object detected by the sensor is a static vehicle or a roadside static object, carries out driving assistance if a first driving assistance carrying-out condition is satisfied when determining as a static vehicle and carries out the driving assistance if a second driving assistance carrying-out condition is satisfied when determining as a roadside static object. A threshold concerning the first driving assistance carrying-out condition is lower than a threshold concerning the second driving assistance carrying-out condition.