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Automotive 2.1 μm Full-Depth Deep Trench Isolation CMOS Image Sensor with a 120 dB Single-Exposure Dynamic Range.

Dongsuk Yoo1, Youngtae Jang1, Youngchan Kim1

  • 1Samsung Electronics Co., Ltd., Yongin-si 17113, Republic of Korea.

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|November 25, 2023
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Summary
This summary is machine-generated.

A new automotive CMOS image sensor achieves 120 dB dynamic range using a unique sub-pixel design. This advanced sensor offers low noise and high capacity for superior high dynamic range (HDR) imaging in vehicles.

Keywords:
F-DTIHDRLFMautomotivesub-pixel structure

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Area of Science:

  • Electrical Engineering
  • Computer Vision
  • Materials Science

Background:

  • Automotive image sensors require high dynamic range (HDR) for challenging lighting conditions.
  • Traditional sensors struggle with simultaneous capture of bright and dark scene details.
  • Deep trench isolation and advanced readout circuits are key to sensor performance.

Purpose of the Study:

  • To develop an automotive 2.1 μm CMOS image sensor with enhanced dynamic range.
  • To improve HDR imaging capabilities for automotive applications.
  • To achieve high signal-to-noise ratio (SNR) in synthesized HDR images.

Main Methods:

  • Implementation of a full-depth deep trench isolation.
  • Development of an advanced readout circuit technology.
  • Utilization of a sub-pixel structure with large and small photodiodes, in-pixel storage capacitors, and lateral overflow.

Main Results:

  • Achieved a 120 dB dynamic range at 85 °C with a sensitivity ratio of 10.
  • Realized low random noise (0.83 e-) and high overflow capacity (210 ke-).
  • Attained over 25 dB SNR during HDR image synthesis by increasing photodiode full-well capacity and suppressing leakage current at 105 °C.

Conclusions:

  • The developed automotive CMOS image sensor effectively achieves high dynamic range and low noise.
  • The sub-pixel structure and advanced circuit technology are crucial for superior HDR performance in automotive imaging.
  • This sensor technology enables robust image capture across diverse and challenging automotive environments.