Vehicle Driving Assistance Confidence Gating for Lane Changes

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Solution Overview

Problem

Driver assistance systems for autonomous vehicles face challenges in accurately detecting lane changes due to faulty location and movement data of vehicles, leading to potential risk situations, as detection can be inaccurate or obstructed by visual conditions or obstacles.

Innovation Solution

A driving assistance system that determines a confidence value for calculated traffic density using surroundings data from sensors like LiDAR, radar, and cameras, which decides whether to perform automated driving functions like lane changes based on a threshold value, ensuring safety by assessing the reliability of detected data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated driving functions are performed based on sensor-detected data, then productivity is improved, but reliability deteriorates due to faulty detection

Engineering Contradiction:

Improveautomated driving function executionVSAvoiddetection accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements feedback by calculating traffic density from sensor data and comparing it against confidence thresholds. When the confidence value falls below the threshold, the system feedbacks a decision to cancel the automated driving function, thereby preventing unreliable actions and improving overall reliability while maintaining productivity through confident detections.

Inventive Principle:

Principle #23Feedback

2Reliability

If traffic density calculation is performed to improve safety, then reliability is improved, but device complexity increases

Engineering Contradiction:

Improvesafety of automated drivingVSAvoidsystem structure

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the safety assessment into distinct functional modules: a receiving unit for sensor data, an evaluation unit for traffic density calculation, and a determination unit for confidence assessment. This segmentation allows the complex safety evaluation to be implemented as modular components, managing device complexity through structured organization while achieving improved reliability.

Inventive Principle:

Principle #1Segmentation

3Reliability

If confidence value determination is added to assess reliability, then reliability is improved, but loss of time occurs due to additional processing

Engineering Contradiction:

Improveconfidence in traffic densityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system applies partial action by determining confidence values selectively - only for the necessary traffic density calculations required for automated driving decisions. Rather than performing exhaustive analysis in all situations, the system calculates confidence levels for critical parameters and proceeds with automated functions when thresholds are met, thus improving reliability without excessive time loss.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11807238B2Driving assistance system for a vehicle, vehicle having same and driving assistance method for a vehicle

Publication Date: 2023.11.07 BAYERISCHE MOTOREN WERKE AG

AI summary

A driving assistance system for a vehicle includes a reception unit that is configured so as to receive surroundings data of the vehicle, an evaluation unit that is configured, based on the surroundings data, so as to determine a traffic density in a surrounding area of the vehicle, and a determination unit that is configured so as to establish a confidence for the traffic density determined by the evaluation unit.