Multi-Sensor Lane Change Assistance for Driver Intent Detection

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Solution Overview

Problem

Advanced Driver Assistance Systems (ADAS) do not sufficiently reflect a driver's intent and limit safe autonomous lane changes due to various unexpected traffic conditions.

Innovation Solution

A driver assistance system that includes multiple sensors (front, side, and rear) and a controller to detect steering intent through turn signal lamps, process image and detection data, and output steering or warning signals to facilitate safe lane changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple sensors are used to detect side and rear objects, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveobject detection accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple sensor types (cameras, radar, LiDAR) into an integrated sensing system that shares common processing resources and control logic, allowing the system to achieve high measurement precision through sensor fusion while managing device complexity through unified architecture

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The controller is designed to process data from multiple different sensor types using the same processing algorithms and decision-making logic, enabling a single processing unit to handle diverse sensor inputs and perform multiple detection functions simultaneously

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

2Reliability

If the system processes data from multiple sensors to detect objects, then reliability is improved, but use of energy increases

Engineering Contradiction:
Improvelane change safetyVSAvoidsystem power consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs sensor data processing and object detection at specific intervals triggered by turn signal activation rather than continuously, reducing energy consumption while maintaining reliability by ensuring detection occurs at critical moments when lane change intent is expressed

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system activates full multi-sensor processing only when turn signal lamps are detected, performing preliminary filtering that ignores periods when no lane change intent is present, thereby reducing overall energy usage while maintaining high reliability during critical detection periods

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If the system detects turn signal lamps to identify steering intent, then ease of operation is improved, but difficulty of detecting and measuring increases

Engineering Contradiction:
Improvedriver intent recognitionVSAvoidturn signal detection complexity
Core Design Contradiction:
Ease of operationVSDifficulty of detecting and measuring

Solution Approach 1:

The system uses the vehicle's own turn signal lamp signals, which are already present in the vehicle's electrical system, to detect driver intent. This self-service approach leverages existing vehicle components rather than requiring additional external detection devices, simplifying the overall system while improving ease of operation

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11890939B2Driver assistance system
Publication Date: 2024.02.06 HL KLEMOVE CORP
  • US11890939B2 patent drawing
  • US11890939B2 patent drawing
  • US11890939B2 patent drawing

AI summary

A driver assistance system includes a first sensor installed in a vehicle to have a front view of a vehicle, and configured to obtain front image data; a second sensor installed in the vehicle to have a front detection field of view of the vehicle and selected from a group consisting of a radar sensor and a LiDAR sensor, configured to obtain front detection data; a third sensor installed in the vehicle to have a side detection field of view of the vehicle and selected from a group consisting of the radar sensor and the LiDAR sensor, and configured to obtain side detection data; and a controller including a processor configured to process at least one of the front image data, the front detection data, and the side detection data.