“Today, cars are changing from a single-function driving tool to an intelligent, networked “mobile computer”, and autonomous driving technology is ushering in a new stage of development. With leading features such as energy efficiency, scalability and customizability, the Snapdragon Ride platform has maintained strong momentum since its release, providing a cost-effective and energy-efficient complete system-level solution for autonomous driving and The complex requirements of ADAS (Advanced Driver Assistance System) help create a safer and more convenient driving experience.
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Today, cars are changing from a single-function driving tool to an intelligent, networked “mobile computer”, and autonomous driving technology is ushering in a new stage of development. With leading features such as energy efficiency, scalability and customizability, the Snapdragon Ride platform has maintained strong momentum since its release, providing a cost-effective and energy-efficient complete system-level solution for autonomous driving and The complex requirements of ADAS (Advanced Driver Assistance System) help create a safer and more convenient driving experience.
Excellent energy efficiency, drive freely
The Snapdragon Ride platform is built on a range of different Snapdragon automotive SoCs and accelerators, featuring scalable and modular high-performance heterogeneous multi-core CPUs, power-efficient AI and computer vision engines, and industry-leading GPUs.
Based on the combination of the above-mentioned different SoCs and accelerators, the platform can be matched according to the needs of each market segment of autonomous driving, and can support all aspects from New Car Evaluation Specification (NCAP) to L2+/L3 level driver assistance and autonomous driving (AD) demand.
Flexible expansion, deep customization
The Snapdragon Ride platform uses a highly customizable SoC based on a 5nm process technology with flexible scalability. Not only will it allow automakers and Tier 1 suppliers to develop more energy-efficient products with high thermal performance, but it will also provide more options for creating customized solutions, pointing the way for the evolution of next-generation automotive architectures.
For customized needs such as camera perception, sensor fusion, driving strategy, automatic parking, etc., you can choose a secure real-time operating system (RTOS), hypervisor hypervisor, classic and adaptive automotive open system architecture (AUTOSAR) solutions, open and programmable The safety software development kit (SDK) and software architectures such as the Qualcomm Vision Enhanced High-Precision Positioning (VEEP) engine are extended to further provide safer and more intelligent platform applications for autonomous driving.
The software ecosystem is rich, and the experience can be upgraded again
In addition to powerful hardware and flexible scalability, the Snapdragon Ride platform also has a rich software ecosystem to help automakers and Tier 1 suppliers develop a variety of autonomous driving solutions. These autonomous driving software stacks include Qualcomm Vision-enhanced high-precision positioning and map fusion, C-V2X, and perception algorithms to enhance the autonomous driving experience from multiple aspects such as safety and Internet of Vehicles.
In addition, Qualcomm has partnered with industry-leading brands to bring more advanced software stacks to the Snapdragon Ride platform. For example, the Snapdragon Ride Vision System, which integrates the Snapdragon Ride SoC and Arriver’s next-generation visual perception software stack, provides multiple computing capabilities to enhance the perception of the vehicle’s surroundings, support the planning and execution of the vehicle, and enable safer driving. ride experience.
The Snapdragon Ride platform not only brings an excellent platform to automakers and Tier 1 suppliers with high computing power, low power consumption, and excellent heat dissipation, but also enables the customization of autonomous driving solutions through flexible scalability and software ecosystem. richer and more varied. At present, more and more automakers are developing next-generation models based on this platform, bringing users a new autonomous driving experience.
Today, cars are changing from a single-function driving tool to an intelligent, networked “mobile computer”, and autonomous driving technology is ushering in a new stage of development. With leading features such as energy efficiency, scalability and customizability, the Snapdragon Ride platform has maintained strong momentum since its release, providing a cost-effective and energy-efficient complete system-level solution for autonomous driving and The complex requirements of ADAS (Advanced Driver Assistance System) help create a safer and more convenient driving experience.
Excellent energy efficiency, drive freely
The Snapdragon Ride platform is built on a range of different Snapdragon automotive SoCs and accelerators, featuring scalable and modular high-performance heterogeneous multi-core CPUs, power-efficient AI and computer vision engines, and industry-leading GPUs.
Based on the combination of the above-mentioned different SoCs and accelerators, the platform can be matched according to the needs of each market segment of autonomous driving, and can support all aspects from New Car Evaluation Specification (NCAP) to L2+/L3 level driver assistance and autonomous driving (AD) demand.
Flexible expansion, deep customization
The Snapdragon Ride platform uses a highly customizable SoC based on a 5nm process technology with flexible scalability. Not only will it allow automakers and Tier 1 suppliers to develop more energy-efficient products with high thermal performance, but it will also provide more options for creating customized solutions, pointing the way for the evolution of next-generation automotive architectures.
For customized needs such as camera perception, sensor fusion, driving strategy, automatic parking, etc., you can choose a secure real-time operating system (RTOS), hypervisor hypervisor, classic and adaptive automotive open system architecture (AUTOSAR) solutions, open and programmable The safety software development kit (SDK) and software architectures such as the Qualcomm Vision Enhanced High-Precision Positioning (VEEP) engine are extended to further provide safer and more intelligent platform applications for autonomous driving.
The software ecosystem is rich, and the experience can be upgraded again
In addition to powerful hardware and flexible scalability, the Snapdragon Ride platform also has a rich software ecosystem to help automakers and Tier 1 suppliers develop a variety of autonomous driving solutions. These autonomous driving software stacks include Qualcomm Vision-enhanced high-precision positioning and map fusion, C-V2X, and perception algorithms to enhance the autonomous driving experience from multiple aspects such as safety and Internet of Vehicles.
In addition, Qualcomm has partnered with industry-leading brands to bring more advanced software stacks to the Snapdragon Ride platform. For example, the Snapdragon Ride Vision System, which integrates the Snapdragon Ride SoC and Arriver’s next-generation visual perception software stack, provides multiple computing capabilities to enhance the perception of the vehicle’s surroundings, support the planning and execution of the vehicle, and enable safer driving. ride experience.
The Snapdragon Ride platform not only brings an excellent platform to automakers and Tier 1 suppliers with high computing power, low power consumption, and excellent heat dissipation, but also enables the customization of autonomous driving solutions through flexible scalability and software ecosystem. richer and more varied. At present, more and more automakers are developing next-generation models based on this platform, bringing users a new autonomous driving experience.
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