en.Wedoany.com Reported - BYD is developing an artificial intelligence-based under-vehicle detection system designed to alert drivers when animals or people are beneath the car. The technology is currently still in the patent stage, indicating that the Chinese automaker is expanding vehicle safety beyond traditional lane departure warnings and parking cameras to cover more scenarios.
The blind spot under a vehicle poses a real safety hazard, as stray animals such as cats and dogs often seek warmth or shade beneath parked cars. According to a report from ITHome, the system works by first capturing an image of the area under the vehicle after the engine is turned off, serving as a reference baseline. Before the vehicle moves again, a new real-time image is compared with the stored reference image, and any areas showing differences are flagged for further inspection. This comparison mechanism helps the software avoid misidentifying shadows, stains, fallen leaves, or road debris as points of concern.
After detecting a changed area, the software analyzes it to determine whether it is a living being (such as an animal or person) or ordinary road debris. BYD has also extended similar safety concepts to the vehicle cabin. According to the same report, the company previously disclosed a patent for detecting occupants left inside a vehicle, with the cabin system using radar signals rather than cameras to check for people. The two patents together point to a product direction: vehicles using differentiated sensors for different safety issues, ranging from external cameras to in-cabin radar.
China's electric vehicle market is highly competitive, with many automakers leveraging AI and software to enhance the driving experience. According to The Guardian, at Auto China 2026, Xpeng stated that its latest AI model can respond to commands such as "park near the shopping mall entrance," while Xiaomi showcased an AI-driven operating system capable of detecting driver stress indicators and adjusting lighting and music. BYD's patent shifts the competitive focus to safety. This technology does not prioritize comfort or convenience, but instead uses sensors to capture moments that humans might overlook, such as animals resting near a parked vehicle or a child left inside the car, in order to prevent potential accidents.
If this under-vehicle detection feature goes into mass production, its actual effectiveness will depend on driver trust and response. Frequent false alarms could lead drivers to ignore warnings, while missed detections would undermine user confidence. Automakers will also need to decide how alerts are presented, with dashboard icons or louder alarms each having their pros and cons. Future vehicle safety will depend not only on detection capabilities but also on whether drivers can promptly notice alerts and respond correctly.
