With the gradual deepening of software-defined cars, the electronic and electrical architecture of the whole vehicle has entered a new stage of software + hardware collaborative definition from hardware-driven (computing power), and the ecological cooperation between software and hardware suppliers in the industry chain is also increasing.
On January 18, Black Sesame, the global leader in autonomous driving computing chips, announced that it will cooperate with BlackBerry QNX to create a highly reliable, high-performance, flexible and open autonomous driving platform.
It is understood that the platform will be built based on the high-performance Huashan No. 2 A1000 autonomous driving computing chip of Black Sesame Smart and BlackBerry's real-time operating system (RTOS), and will eventually provide automakers and Tier1 with high computing power, high stability and reliability, and high reliability. Portable innovative software and hardware solutions to accelerate the mass production and launch of self-driving cars.
According to Yang Yuxin, CMO of Black Sesame Smart, Black Sesame Smart and BlackBerry have jointly obtained projects from many leading OEMs in China, and mass production is expected to be achieved in 2022.
At present, intelligent connected vehicles are becoming the largest intelligent mobile terminal, and related service data around people, vehicles, and scenarios are growing explosively. According to the monitoring data of Gaogong Intelligent Automobile Research Institute, from January to November this year, the number of domestic new cars (joint ventures + self-owned brands) equipped with OTA functions was 6.6706 million, an increase of 72.79% over the same period last year; the pre-installation rate was 36.67% , an increase of about 13 percentage points year-on-year.
At the same time, various security issues such as hacking attacks on cars and leakage of user information are constantly exposed. Relevant data show that in the past 4 years, the number of automotive information security incidents has increased by more than 6 times. Among them, in 2020, there have been more than 2.8 million malicious attacks on intelligent networked vehicles in the world, such as hacker network attacks and software vulnerability manipulation.
Since 2020, relevant state departments have promulgated a series of laws and regulations on the network security and data security of intelligent connected vehicles. For example, in the "Financial Subsidy Policy for the Promotion and Application of New Energy Vehicles in 2022" jointly issued by multiple ministries and commissions of the country, it has added guidance to strengthen product safety supervision, requiring new energy vehicles to meet the national regulations on vehicle data security, network security, and online upgrades. Require.
Statistics show that BlackBerry is a global leader in embedded systems, can provide innovative solutions in the fields of network security, functional security and data privacy, and is a global leader in terminal security, terminal management, encryption and embedded systems.
BlackBerry's QNX real-time operating system (RTOS) has passed the ISO 26262 ASIL-D safety certification and is one of the commercial operating systems with the highest safety level in the automotive industry. It is mainly used in instrumentation, infotainment, ECU and advanced intelligent driving assistance systems. key security areas within.
Currently BlackBerry QNX has provided security protection for more than 500 million terminals, including 195 million vehicles. In addition, according to the monitoring data of Gaogong Intelligent Automobile Research Institute, BlackBerry QNX has also occupied the leading position in the domain controller RTOS and virtualization solutions of new cars launched in China.
Yang Yuxin said that Black Sesame Smart is the first autopilot chip company in China that has obtained functional safety expert certification, functional safety process certification, and product compliance. And network security, strong alliances to create a leading autonomous driving computing platform.
Founded in 2016, Black Sesame Intelligence can provide complete autonomous driving solutions, including car-grade ADAS/autonomous driving chips, neural network visual perception algorithms, FAD autonomous driving computing platform, FAD Edge roadside perception computing platform, etc.
Among them, in terms of autonomous driving chips, Black Sesame Intelligence has launched three major autonomous driving computing chips: Huashan No. 1 A500 autonomous driving computing chip, Huashan No. Products, has completed the layout of self-driving chip products from L2+ to L4.
Black Sesame Intelligence believes that in the era of software-defined cars, only the complete decoupling of software and hardware can stimulate the creativity of the entire industry chain and the vitality of collaborative innovation.
At present, based on the two core IPs independently developed-the car-grade image processor NeuralIQ ISP and the DynamAI NN car-grade low-power neural network acceleration engine, Black Sesame Smart has formed a core technical barrier, which can provide chips, operating systems , middleware to algorithms are completely decoupled software and hardware solutions, and are empowering customers to create differentiated products through their own technical advantages, product systems, open ecology, and flexible business models.