Vehicle Driver Assistance System Static Entity Detection

Solution Overview

Problem

Conventional driver assistance systems face delays and high computation resource consumption due to complex algorithms required for detecting static entities under degraded environmental conditions, such as impaired illumination or occlusion, which can lead to undetectable entities and increased processing time.

Innovation Solution

A driver assistance system that detects markers like traffic signs and lane markings under normal conditions, stores this information in a non-volatile memory, and uses it when environmental conditions deteriorate, differentiating between detectable and undetectable markers to minimize storage and processing load, allowing for real-time data processing with reduced delays.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If complex algorithms are implemented to improve detection of entities under degraded environmental conditions, then detection reliability is improved, but processing time increases and computation resources are consumed

Engineering Contradiction:

Improvedetection reliabilityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary detection and storage of static entity information under normal environmental conditions before degradation occurs. Detection results including position data, images, and characteristics are stored in memory during good conditions, so when environmental conditions deteriorate, the system can retrieve pre-stored information without performing complex real-time detection, thus maintaining reliability while reducing processing time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system differentiates between different environmental conditions and applies different detection strategies locally. Under normal conditions, full detection algorithms are used to capture comprehensive entity information. Under degraded conditions, the system switches to retrieving pre-stored local information from memory, optimizing resource usage for each specific condition rather than always applying complex algorithms.

Inventive Principle:

Principle #3Local quality

2Reliability

If complex algorithms are implemented to improve detection of entities under degraded environmental conditions, then detection reliability is improved, but computation resource consumption increases

Engineering Contradiction:

Improvedetection reliabilityVSAvoidcomputation resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary detection and storage of static entity information under normal environmental conditions before degradation occurs. Detection results including position data, images, and characteristics are stored in memory during good conditions, so when environmental conditions deteriorate, the system can retrieve pre-stored information without performing complex real-time detection, thus maintaining reliability while reducing computation resource consumption.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system differentiates between different environmental conditions and applies different detection strategies locally. Under normal conditions, full detection algorithms are used to capture comprehensive entity information. Under degraded conditions, the system switches to retrieving pre-stored local information from memory, optimizing resource usage for each specific condition rather than always applying complex algorithms.

Inventive Principle:

Principle #3Local quality

3Loss of information

If all detected static entities are stored in memory for later use, then information availability under degraded conditions is improved, but storage capacity requirements increase

Engineering Contradiction:

Improveinformation availabilityVSAvoidstorage capacity

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The system differentiates between different types of static entities and their detectability under degraded conditions. Only entities that are difficult to detect under degraded conditions (such as road markings and certain traffic signs) are stored in memory, while entities that remain easily detectable are not stored. This selective storage approach maintains information availability for critical entities while minimizing storage capacity requirements.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system extracts and stores only the specific information that is needed under degraded environmental conditions. Rather than storing all detected entities uniformly, the system identifies and extracts only those entities that become undetectable or difficult to detect under degradation, storing their position data, images, and characteristics for later retrieval.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentEP2945138B1Method and apparatus for providing information data about entities along a route taken by a vehicle

Publication Date: 2018.01.17 CONTINENTAL AUTOMOTIVE GMBH

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Figure 2~3

AI summary

A driver assistance system (1) of a vehicle (V) comprising a detection unit (2) adapted to detect under normal environmental conditions static entities of interest along a route taken by said vehicle (V); a memory (3) adapted to store information data about the detected static entities, wherein the information data stored in the memory (3) is used by the driver assistance system (1) when the vehicle (V) moves along the same route and the static entities along the route are not detectable due to degraded environmental conditions.