Top 20 domestic vision algorithm solution providers in 2023
Driven by autonomous driving, visual algorithms have found the best landing point in the automotive field.
At the Shanghai Auto Show held in April this year, a total of 210 models and 1413 vehicles were exhibited, with new energy vehicles mainly featuring intelligent cabins and intelligent driving assistance occupying the absolute C-spot. Especially with the rapid increase in the number of screens and cameras, the entire vehicle has a strong sense of technology. The full version of the Wenjie M9 is equipped with 10 screens, and the L7, L8, and L9 displayed by the Ideal Car are equipped with more than 10 cameras both inside and outside the car.
Not only new energy electric vehicles, but traditional fuel vehicles are also constantly introducing intelligent technology. They are equipped with various driving assistance systems such as adaptive cruise control, blind spot monitoring, lane keeping, and other functions through visual perception devices and radar. At the same time, intelligent voice control, visual perception interaction, remote diagnosis and control, and in car entertainment are also introduced, making the vehicle more convenient and intelligent.
Through the continuous development and optimization of visual algorithms, the auto drive system is bringing a safer and more comfortable driving experience, such as accurate obstacle detection and tracking, lane detection and tracking, road condition detection and other functions.
In the new era of intelligent electric vehicles and autonomous driving, the once dominant visual algorithm, Mobileye, has gradually fallen behind, and many similar domestic enterprises have sprung up like mushrooms, eager to replace it.
According to the Electrend, terminal car companies currently prefer a supply model that combines software and hardware. This means that in addition to traditional software algorithm support, integrating upstream and downstream resources, the overall system integration is a consideration of the new capabilities of car vision solution providers.
After years of accumulation and accumulation, companies such as Huawei, Arcsoft, Minieye, KANKAN, METOAK, and Ofilm have already possessed strong comprehensive competitiveness.
It is worth noting that since the launch of LiDAR on the vehicle stage, the comparison with visual algorithm solutions has not stopped.
Electrend believes that LiDAR and visual algorithms should complement each other. In fact, almost all Chinese car manufacturers, including new car manufacturers, have adopted a multi-sensor fusion route.
Anyway, visual algorithms will still be one of the mainstream core technologies in the future field of autonomous driving, and their advantages such as low cost, high maturity, and widespread application cannot be replaced.