Rolling-Shutter NIR Imaging for Low-Light Driver Assistance

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing driver assistance systems in vehicles face challenges in low light conditions, particularly with lane marker detection, traffic sign recognition, and pedestrian detection, due to reduced sensitivity from infrared filters and color mosaic filters, which compromise performance in dark scenes and limit the simultaneous use of near-infrared illumination and color information.

Innovation Solution

A system with a camera and processor that uses a rolling shutter and near-infrared illuminator synchronized to the frame period, allowing for alternating exposure frames with and without near-infrared illumination, enabling concurrent performance of multiple driver assistance functions like pedestrian detection and automatic high-beam control while maintaining color information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If infrared filters and color mosaic filters are used in the camera, then color information can be captured, but sensitivity in low light conditions deteriorates

Engineering Contradiction:
Improvecolor informationVSAvoiddetection sensitivity in low light
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The camera sensor is divided into two distinct sensor arrays: a first sensor array without infrared or color filters that captures high-sensitivity monochrome images, and a second sensor array with infrared and color filters that captures color information. This segmentation allows each sensor to be optimized for its specific function, resolving the contradiction between color capture and low-light sensitivity.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If near-infrared illumination is used to improve detection range, then detection accuracy improves, but compatibility with other applications using color information deteriorates

Engineering Contradiction:
Improvedetection accuracyVSAvoidcompatibility with color-based applications
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system segments the image data processing into two parallel paths: one path processes images from the first sensor array (without filters) enhanced by near-infrared illumination for high-precision detection of lane markers and traffic signs, while the other path processes images from the second sensor array (with filters) for color-based applications. This segmentation enables both near-infrared enhanced detection and color information usage simultaneously without interference.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The first sensor array without infrared or color filters serves multiple functions: it captures high-sensitivity monochrome images for near-infrared illumination enhancement, captures color information when needed, and provides the basis for both precision detection applications and color-based applications. This multi-functionality resolves the contradiction by making the sensor system adaptable to different application requirements.

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

3Device complexity

If a single sensor is used for both near-infrared detection and color information, then device complexity is reduced, but performance in both applications deteriorates

Engineering Contradiction:
Improvesensor configurationVSAvoidperformance in low light and color applications
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The camera is segmented into two sensor arrays with different filter configurations. The first sensor array lacks both infrared and color filters for maximum sensitivity and flexibility, while the second sensor array has both filters for dedicated color information capture. This segmentation maintains relatively simple device architecture while significantly improving performance in both near-infrared enhanced detection and color-based applications.

Inventive Principle:
Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution enhances the detection range and accuracy of lane markers, traffic signs, and pedestrians in low light conditions, improving overall driver assistance system performance without sacrificing sensitivity or compatibility with other applications.

Implementation Method 1

A near infra-red illuminator is configured to provide a near infra-red illumination cone in the field of view of the camera

Methodology Applied
Scientific EffectNear-infrared illumination: Light

Implementation Method 2

The camera includes a rolling shutter configured to capture the image data during a frame period and to read the image data into multiple image frames

Methodology Applied
Scientific EffectRolling shutter scanning:

Implementation Method 3

A synchronization mechanism is configured to synchronize the illumination period to the frame period of the rolling shutter

Methodology Applied
Scientific EffectSynchronization:

Implementation Method 4

Images are received from an image sensor with a rolling shutter

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Data Source

PatentEP3588939B1Bundling night vision and other driver assistance systems (DAS) using near infra red (NIR) illumination and a rolling shutter
Publication Date: 2023.10.18 MOBILEYE VISION TECH LTD
  • EP3588939B1 patent drawingFigure 1a~1b
  • EP3588939B1 patent drawingFigure 2~3
  • EP3588939B1 patent drawingFigure 4a~4b

AI summary

A system (16) mountable in a motor vehicle includes a camera (12) and a processor (14) configured to receive image data from the camera (12). The camera (12) includes a rolling shutter (6) configured to capture the image data during a frame period and to scan and to read the image data into multiple image frames (204, 206). A near infra-red illuminator (4) may be configured to provide a near infra-red illumination cone in the field of view of the camera (12). The near infrared illumination oscillates with an illumination period. A synchronization mechanism may be configured to synchronize the illumination period to the frame period of the rolling shutter (6). The frame period may be selected so that the synchronization mechanism provides a spatial profile of the near infra-red illumination cone which may be substantially aligned vertically to a specific region, e.g. near the center of the image frame (204, 206).