VT-CMS AI Design: Enhancing Driving Safety with Advanced CMS
Drivers often face challenges such as blind spots from the rear sides, reduced visibility at night, ineffective mirrors in rainy or foggy conditions, and significant blind spots in heavy trucks. Traditional rearview mirrors have become an invisible threat to driving safety, compromising both safety and driving experience. Despite numerous high-tech innovations, the blind-spot issue associated with traditional mirrors remains a persistent problem for many drivers.
Limitations of Traditional Rearview Mirrors:
Dependent on ambient light, traditional mirrors mostly display black in low-light conditions, severely limiting visibility.
Anti-fog function relies on low-efficiency, high-energy-consuming heating wires.
Drivers must view through door windows to check the side-rear, further obstructed in rainy or foggy conditions.
Blind spot detection is limited by the mirror size, installation position, and the driver's posture and sightline angle, making it difficult to accurately detect smaller objects such as pedestrians.
In 2024, VT-CMS passed the GB15084-2022 "Performance and Installation Requirements for Vehicle Indirect Vision Devices" and received EU ECE R46 certification, ensuring compliance with international safety standards. From hardware design to software programming, VT-CMS offers comprehensive safety assurance. The system's AI algorithms, tested and optimized through extensive real-world testing, ensure high accuracy in object recognition and timely responses.
VT-CMS has significantly upgraded its target detection and image processing capabilities to better handle complex driving scenarios. By adopting a dual-thread mode, the system processes model inference and pre/post-processing in parallel, greatly improving CPU and GPU resource efficiency. Compared to traditional single-thread processing, dual-thread mode reduces data processing delays, enhancing system response time and ensuring real-time alerts in high-risk situations such as high-speed driving or reversing.
To support customized evaluations, VT-CMS allows the setup of specific modes to assess the system's detection and coverage capabilities across various scenarios. This enables comprehensive performance assessments, highlighting strengths and areas for improvement, and guiding future optimizations.
In low-light environments such as dark roads and underground parking lots, traditional mirrors are almost ineffective, posing a severe safety risk. VT-CMS integrates high-sensitivity low-light sensors and proprietary AI-ISP (Image Signal Processor) algorithms to optimize nighttime imaging. The system automatically adjusts exposure parameters to prevent overexposure or loss of detail in dark areas, while AI noise reduction technology eliminates image noise. Even in extremely low light, the system provides clear side and rear visibility for the driver.
In rainy or foggy conditions, poor visibility can cause drivers to miss important signals or obstacles, increasing safety risks. VT-CMS uses image enhancement and noise reduction algorithms to improve clarity in such weather. The system automatically detects weather changes and adjusts image processing parameters in real time, removing fog and noise to ensure that the driver can clearly identify other vehicles and obstacles, even under low visibility.
In complex driving conditions, accurately judging the distance from side or rear traffic participants—especially during lane changes—can be challenging. VT-CMS utilizes geometric projection algorithms to calculate the distance between the vehicle's rear axle and moving objects in real time, providing precise data to help drivers maintain a safe distance and reduce collision risks.
In reverse (R) mode, VT-CMS employs high-precision cameras and AI algorithms to activate curb detection. The system displays the lateral and longitudinal distance between the vehicle and the curb, assisting drivers with parking or reversing. Dynamic trajectory lines further enhance precision in these maneuvers. The system also supports lane-change assistance lines, which predict vehicle trajectory based on steering angle and identify obstacles using AI algorithms, helping drivers safely change lanes. Customizable lane-change lines or distance markers can be set by the driver, further enhancing safety and control.
As a next-generation smart camera monitoring system, CMS is becoming a standard feature in intelligent vehicles. With the continuous advancement of smart car technology, AI is expected to be a key driver in the future automotive industry. VT-CMS leverages innovative AI technology to provide drivers with a safer, more efficient driving experience. In the future, VT-CMS is poised to offer even smarter visual assistance solutions, ensuring safer journeys for every driver.