Application of Infrared Lenses in ADAS And Autonomous Driving

Brief Introduction

Environmental perception serves as the foundational guarantee for the safe operation of ADAS and autonomous driving systems. Conventional vehicle sensors, including visible-light cameras, LiDAR, and millimeter-wave radars, deliver reliable performance under bright daylight and normal weather conditions. However, their performance degrades drastically in complex low-visibility scenarios such as dark nights, heavy fog, and strong backlight. As a passive optical sensing component, automotive infrared lenses capture thermal radiation emitted by all physical objects instead of relying on ambient light sources. This unique working principle effectively compensates for the inherent defects of traditional perception equipment and greatly enhances the environmental adaptability and all-weather safety of intelligent vehicles. This paper discusses the practical value, application scenarios, existing drawbacks, and future development prospects of infrared lenses used in intelligent driving vehicles.

Here is Contents:

1. Core Technical Advantages of Automotive Infrared Lenses

2. Practical Applications and Real Cases of Infrared Lenses in ADAS

3. Current Drawbacks and Future Development Trends

1. Core Technical Advantages of Automotive Infrared Lenses

Automotive long-wave infrared lenses operate within the 8–14 μm spectral band and adopt passive thermal imaging mechanisms, possessing unique practical advantages that traditional visual sensors cannot match. Unlike visible-light cameras that require sufficient ambient light, infrared imaging systems work stably in completely dark road environments. They can effectively resist intense glare from oncoming vehicle headlights and strong outdoor backlight, thoroughly avoiding overexposure, screen blackout and other common failure problems of traditional visual perception.

In addition, infrared optical signals feature strong penetration against fog, rain, dust and snow. In severe weather conditions where visible light and LiDAR signals are heavily scattered and attenuated, infrared equipment can still capture clear and stable road information by bypassing tiny suspended particles in the air. The most prominent advantage is temperature-based target identification. Infrared lenses can accurately distinguish thermal differences between different targets, making it easy to identify pedestrians, animals, and overheated faulty vehicles that cannot be effectively classified by millimeter-wave radars.Relevant traffic data shows that nighttime driving only accounts for 25% of total road traffic, yet 75% of pedestrian traffic fatalities occur at night. Infrared perception can extend the effective pedestrian detection distance from the traditional 80 meters to more than 300 meters, providing several extra seconds for ADAS systems to execute braking and obstacle avoidance operations.

2. Practical Applications and Real Cases of Infrared Lenses in ADAS

In current intelligent driving systems, infrared lenses are mainly applied in two core scenarios: active safety protection and multi-sensor fusion redundancy. They effectively solve various safety risks caused by insufficient light and harsh weather, making them a key supplementary device for high-reliability ADAS perception.

The most representative application is night pedestrian and electric vehicle protection supported by Automatic Emergency Braking (AEB). Pure visual perception systems frequently miss distant pedestrians on unlit rural roads and dim suburban roads, easily triggering traffic accidents. Equipped with infrared lenses, ADAS can continuously capture the obvious thermal characteristics of human bodies and non-motor vehicles, achieving stable and accurate identification throughout day and night.

The Great Wall Tank series, a mass-produced civilian off-road vehicle, serves as a typical practical case. This model is factory-fitted with vehicle-grade infrared thermal imaging lens modules. Actual road test results prove that the infrared perception system can stably detect crossing pedestrians and roadside wild animals at night, cutting the night pedestrian collision rate by over 60%. Furthermore, infrared lenses act as a critical redundant sensor for high-level NOA navigation assistance. When visible-light cameras and LiDAR fail in dense fog or strong glare, infrared imaging can independently output valid target data to guarantee the normal operation of core functions such as lane keeping and adaptive cruise control.

3. Current Drawbacks and Future Development Trends

Despite their irreplaceable safety value in intelligent driving, automotive infrared lenses still face certain practical limitations in large-scale promotion. The primary constraint is the high manufacturing and packaging cost of vehicle-spec infrared lens modules, leading to low market penetration in entry-level and mid-range vehicles, with mainstream applications limited to high-end models. Besides, infrared images lack color information and clear texture features such as lane lines and traffic signs, so they cannot support independent full-scenario perception and must work with visible-light cameras through multi-sensor fusion algorithms.

Nevertheless, the industry development prospect is positive. With the large-scale adoption of domestic chalcogenide glass molding technology, the production cost of infrared lenses has been continuously reduced, laying a foundation for their widespread use in ordinary civilian vehicles. Meanwhile, the dual-spectrum integrated design combining infrared and visible light has become a mainstream research direction, which optimizes vehicle optical layout and improves the overall stability of all-weather perception systems. In the future, as automotive functional safety regulations become increasingly stringent, infrared lenses are expected to become standard configuration for L3 and higher-level autonomous driving vehicles.

Conclusion

With unique capabilities of anti-glare imaging, fog penetration and thermal target recognition, automotive infrared lenses make up for the all-weather perception blind spots of traditional ADAS sensors, providing vital safety redundancy for night driving and harsh weather autonomous driving. Although the large-scale popularization of infrared perception technology is still restricted by cost factors and imaging characteristics, the continuous upgrading of domestic optical manufacturing technology and intelligent driving algorithms will further release its application potential. In the future, infrared lens equipment will be widely installed in passenger and commercial vehicles, effectively improving the overall safety and reliability of autonomous driving systems.