Advanced Driver Assistance Systems (ADAS) will see significant growth in the coming years, one of the main reasons being increased security awareness and increased customer comfort requirements. However, the most important reason is that the European New Car Safety Assessment Association (NCAP) has strengthened the safety requirements, which will increase the installation rate of ADAS equipment from single digits to almost 100%. In the future, ADAS will become the standard for automotive electronics. . Therefore, a commercially viable solution is undoubtedly a top priority.
In the automotive industry's increasing security trend, vehicles need to integrate more and more peripheral photographic sensors and intelligent image processing technology to achieve ADAS, such as lane departure warning, collision avoidance, blind spot monitoring, advanced reversing photography, and objects. Peripheral environment observation system for identifying functions, etc. The common goal of manufacturers to create a completely safe driving environment is driving this trend.
The challenge for these systems is the need to build a platform that maintains the processing performance required by these compute-intensive applications, consumes less power to avoid thermal issues, and provides a cost-effective solution that the integrators are willing to adopt, and the system The small size allows the system "brain" to be co-located with the image sensor and fit into the smart camera (if required). Image processing coexisting on the sensor can constitute a system solution in which the same intelligent photographic platform can be applied to different positions of the vehicle, such as the rear bumper - an enhanced reversing camera with object/human detection Mirrors - for blind spot monitoring; behind the rearview mirrors - for forward collision and lane departure warnings; and other peripheral cameras - for ambient observation. In addition, this distributed intelligent photography model does not burden the car's center console with additional processing requirements.
ADAS technology improves safety through special actions
Actions that ADAS technology can take, including passive alerts or copying information, alert drivers to unusual vehicle or road conditions. However, active intervention is also common for the latest generation of ADAS devices.
At present, the widely used ADAS technology is adaptive cruise control, which uses a laser or radar system to detect whether there is a car and its speed in front, and expands the original basic cruise control function. If the ACC finds a car in front and it is slow, the system adjusts the speed to maintain a safe distance.
As a platform, ACC has great long-term potential. It can handle many types of accidents by adding applications such as crash warnings, mitigation forces, and avoidance.
Vision-based ADAS system
The Lane Departure Warning (LDW) technology, one of the three mainstream applications of ADAS, monitors the lateral movement of the car in the lane and warns the driver when the car may exceed the lane line. This system technology is a specific implementation of a visual (camera) based ADAS system.
In fact, visual-based ADAS can greatly improve driving safety in many aspects by utilizing camera recognition. By installing a rear view/front view/side view camera and a vision processing ECU, multiple functions can be implemented to help the driver prevent risks in advance. According to the research report, 70% of the cars currently have rear view functions, and 30% of high-end cars have forward-looking functions. By 2015, this proportion is expected to reach 60%, so the vision-based ADAS will be better than the radar-based ADAS system ( More focused on target detection) faster in the low-end car market.
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