In ADAS, AEB continuously relies on information about the road environment. Through object detection, classification, tracking, and risk assessment, the system identifies potential collision risks.
However, AEB performance first depends on how much the camera can actually see. If the camera cannot consistently capture objects in challenging lighting conditions, the downstream algorithms may also struggle to obtain complete and reliable visual information.
This is especially important in high-contrast scenarios such as high-speed driving at night, tunnel entrances and exits, and underground parking garage exits, where extremely bright and dark areas can appear in the same frame. In these situations, the camera’s ability to preserve useful details of critical objects becomes an important foundation for reliable visual perception.
What Happens When Dynamic Range Is Insufficient?
In high-contrast environments, conventional cameras may encounter two typical problems: overexposure and underexposure.
When exposure is biased toward darker areas, details in bright regions may be lost. When exposure is biased toward brighter areas, information in darker regions may become insufficient. For normal driving, this may simply affect image quality. For ADAS and AEB, however, the impact can be more significant.
If a target is located in a dark area, its outline may become less distinct, fine details may be lost, and the contrast between the target and its background may be reduced. Conversely, when strong light is present around a target, highlights may become overexposed, potentially affecting object edges and reducing the amount of useful visual information available in the image.
Therefore, what an ADAS camera really needs is not simply higher image brightness, but the ability to preserve as much useful visual information as possible under challenging lighting conditions. This is where HDR technology plays an important role.
120dB+ HDR Preserves More Detail Between Bright and Dark Areas
The core purpose of HDR technology is to improve a camera’s ability to handle both high-brightness and low-brightness areas. The greater the dynamic range, the better the camera can preserve details in both bright and dark regions within the same scene.
With 120dB+ HDR, this capability is particularly valuable for front-view automotive cameras that operate in high-contrast environments.
HDR imaging can process and combine image information captured under different exposure conditions, helping reduce overexposure in bright areas while preserving as much detail as possible in darker regions.
The result is not simply a brighter image, but more useful visual information that can be utilized by the vision system.
In this sense, HDR addresses a key challenge: how to preserve more useful visual information between extremely bright and extremely dark areas. For ADAS cameras, this capability can be more important than simply increasing image brightness.
How Does Visual Information Affect Active Safety?
HDR itself does not directly determine when AEB should apply the brakes. Instead, it improves the camera’s imaging performance under challenging lighting conditions and provides more complete and stable input for subsequent vision algorithms.
From this perspective, HDR is not the AEB algorithm itself. Rather, it helps improve the visual input that AEB relies on throughout the perception process.
From Seeing Clearly to Seeing Reliably
For front-view cameras, the real technical challenge is not simply achieving higher-resolution images, but enabling the system to continuously obtain complete, stable, and usable visual information in real-world driving environments.
From high-speed driving at night to tunnel exits, from underground parking garages to strong backlighting, challenging lighting conditions remain an important issue for automotive visual perception.
By increasing dynamic range, 120dB+ HDR helps cameras better handle the large differences between bright and dark areas, providing more reliable visual input for object detection, classification, and tracking.
