Application Strategies Of High-Performance Embedded Industrial Computers In Driver-Less Driving
1. Introduction to the driver-less industry
Autonomous driving refers to the autonomous operation and navigation of vehicles through automated systems and technologies without a human driver. The development and application of driver-less technology has attracted widespread attention around the world and has had a profound impact on multiple industries.
2. Application of unmanned driving equipment
Unmanned driving equipment refers to the technology and equipment used to realize unmanned operation of vehicles. The following are several common applications of driver-less equipment:
1. Sensor system: Unmanned vehicles are usually equipped with a variety of sensors, including LiDAR, cameras, radar and ultrasonic sensors. These sensors can sense the environment and obstacles around the vehicle in real time, generate high-precision maps and obstacle recognition data, and provide important information for vehicle navigation and decision-making.
2. Global Positioning System (GPS): GPS is a commonly used positioning technology in driver-less equipment. By receiving satellite signals, unmanned vehicles can determine their exact location and navigation targets, thereby achieving autonomous navigation and path planning.
3. Control system: The control system of an unmanned vehicle is the core of realizing autonomous driving. The control system uses sensor data and algorithms to analyze and process information in real time to control vehicle acceleration, steering, braking and other operations to ensure safe and stable driving of the vehicle.
4. Communication system: Unmanned driving equipment is usually equipped with high-speed data communication systems for real-time communication with other vehicles, infrastructure and cloud servers. By connecting to external systems, driver-less vehicles can obtain real-time traffic information, road condition updates and command control to achieve more intelligent and collaborative driving.
5. Infrastructure support: In order to support the operation of unmanned driving equipment, the construction and adaptation of some infrastructure are also necessary. For example, driver-less vehicles need to be interconnected with road signals, traffic management systems, and smart transportation facilities to enable safer and more efficient traffic flows.
3. Provide solutions
Equipment type: Embedded fan-less industrial computer
Equipment model: SIN-3116-Q670E
Product advantages
1. The core uses Intel's 12th generation Alder Lake platform processor, which can support up to 16-core 24-thread Core desktop processors and up to 64GB DDR5 4800MHz memory.
2. Equipped with 32G DDR5 4800MHz memory, the bandwidth of DDR5 memory is 1.87 times that of DDR43200MHz.
3. The whole machine comes with 5 2.5G Intel Ri225 Ethernet ports and 1 Intel Ri219 Ethernet port. The bandwidth of the 2.5G network port is 2.5 times that of the Gigabit network port. It is also downward compatible with 10/100/1000Mbps Ethernet network.
4. The unique USB32Gen2x2Type-C interface of the 12th generation new products is specially designed for high-speed portable data storage.
4. Development prospects
The autonomous driving industry has huge potential and prospects in terms of road safety, traffic efficiency, environmental protection and business innovation. With the further development of technology and the promotion of cooperation among all parties, the driver-less industry will gradually become an important part of future transportation and smart city development.
In the future, my country's transportation service level will continue to upgrade. SINSMART TECH keeps up with the development trend of the times and will launch more specialized and customized industrial computer products to largely meet the practical application needs of customers in different industries.
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