Thermal imaging helps maintain robust perception in degraded visibility when visible cameras struggle. By sensing heat contrast rather than reflected light, it remains more reliable in conditions such as fog, haze, snow, dust, and smoke, helping support safer driving for passenger cars, commercial vehicles and L4 robotaxi.

An automotive thermal camera provides clear, high-contrast thermal imagery even in total darkness, extending beyond the reach of headlights. Furthermore, it is less affected by glare from intense light sources such as oncoming headlights, reducing temporary washout. This is invaluable during rapid light transitions, such as entering or exiting tunnels.

Because living beings emit heat, thermal imaging is effective for detecting VRUs, such as pedestrians, cyclists, and animals. Combined with AI algorithms, it can enable earlier risk recognition and support safety functions like Pedestrian AEB (PAEB) and collision avoidance.

4D imaging mmWave radar strengthens vehicle safety by providing high-precision range, velocity, azimuth, and elevation data. Unlike optical cameras, it performs reliably in fog, snow, rain, and dust, delivering effective detection of vehicles, obstacles, and road structures. This makes it a critical perception sensor for ADAS, collision avoidance, and autonomous driving.