当前自动驾驶所用视觉传感器几乎全部为通用型RGB三基色可见光传感器，是对人眼视觉的模仿，并非真正机器视觉，导致对自动驾驶最有利的众多光谱信息荡然无存，在许多场景发生致命误判。

光谱成像技术的应用可大幅提升自动驾驶的可靠性。首先，它可以提供更准确的障碍物检测和识别。通过红外波段的检测，自动驾驶汽车可以更好地识别人、动物和其他车辆等障碍物。其次，光谱成像技术还可以提供更全面的环境感知和决策支持。此外，光谱成像技术还可以应用于道路标志和交通信号的检测和识别。

Currently, almost all visual sensors in autonomous driving systems are RGB sensors in the visible wavelengths, emulating human visions. Such practices naturally exclude a lot of useful information in other spectral ranges, severely degrading the detectivity of machine vision and leading to fatal mistakes.

Infrared spectral imaging can improve the reliability of autonomous driving in a large scale. First, it can provide more accurate obstacle detection and recognition. By detecting infrared signals, an autonomous driving vehicle can classify human bodies, animals, and other vehicles with improved accuracy. Second, spectral imaging can be used in traffic sign recognition. As a result, infrared spectral sensing can provide a more comprehensive survey of surroundings and provide more information for decision-making.