Autonomous driving paper index

Unipolar Barrier Near‐Infrared 2D Photodetectors for 3D Image Sensors

2026-08-10 · Advanced Science

autonomous driving

One-line summary

ABSTRACT Photodetectors sensitive to the near‐infrared (NIR) range are of great importance for applications in machine vision, autonomous driving, and three‐dimensional (3D) imaging under low‐light or adverse weather conditions.

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

ABSTRACT Photodetectors sensitive to the near‐infrared (NIR) range are of great importance for applications in machine vision, autonomous driving, and three‐dimensional (3D) imaging under low‐light or adverse weather conditions. Recently, two‐dimensional (2D) semiconductors have emerged as promising light‐absorbing materials for NIR detection. However, the inevitable majority‐carrier injection from the electrode fundamentally leads to high dark current and poor light‐detection capability, which has constrained the development of 2D semiconductor photodetectors so far. Here, we demonstrate a high‐detectivity NIR photodetector based on a MoTe 2 /WSe 2 /Cl–SnSe 2 unipolar barrier heterostructure. The WSe 2 layer acts as an efficient majority‐carrier‐blocking barrier, effectively suppressing dark current and achieving a room‐temperature specific detectivity of 6.75 × 10 8 Jones, a linear dynamic range of 62 dB, and an effective −3 dB bandwidth approaching 0.1 MHz under 1310 nm illumination. Using this device as an imager, we show 3D NIR imaging of real objects under low‐illumination conditions, highlighting its potential for applications such as vein visualization and material identification.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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