One of the main features of HORUS 340 is it being powered by Intel 10th Gen (Cometlake-S) i9-10900TE. Compared with Core 9th Gen. Coffee Lake, Comet Lake-S has up to 10 CPU cores. Also, hyperthreading is applied on almost all models except for Celeron. As for raising certain of the processors' operating frequency, Comet Lake single core turbo boost is up to 5.3 GHz, which is 300 MHz higher than Coffee Lake-S; all-core turbo boost is up to 4.9 GHz; core i9 is supported by thermal velocity boost while Turbo Boost Max 3.0 supports for Core i7, i9. For the memory support, Core i7 and i9 is supported by DDR4-2933 whereas DDR4-2666 backs for Core i3, Pentium and Celeron.

To achieve Artificial Intelligence Security in Traffic field, high performance GPUCPU structure is an essential element. HORUS340 plays a critical role in Sensor Fusion framework, which is fundamental of Traffic surveillance and management system. 3D LIDAR Enforcement, a gradually recognized and matured surveillance device, using LIDAR cameras technique to reach accurate and efficient traffic monitoring and detection. Moreover, the Sensor Fusion Capability makes HORUS340 can be widely used for different situations, UGV or Smart City.

Sensors are key components to make a vehicle driverless. Camera, radar, ultrasonic and LiDAR enable an autonomous vehicle to visualize its surroundings and detect objects. Cars today are fitted with a growing number of environmental sensors that perform a multitude of tasks. The control system integrated sensors for AV encompasses three parts: perception, decision and execution.

01.    PERCEPTION LAYER
Perception enables sensors to not only detect objects, but also acquire and eventually classify and track objects surround. 

02.    DECISION LAYER
Decision-taking is one of the most challenging tasks that AVs must perform. It encompasses prediction, path planning, and obstacle avoidance. All of them performed on the basis of previous perceptions.

03.    EXECUTION LAYER
Execution layer consists of interconnection between accelerator, brakes, gearbox and so forth. Driven by Real-Time Operating System (RTOS), all these devices can carry out commands issued by Driving Computer.

In response to an exponential increase in the usage of the autonomous vehicles across the globe, Perfectron continuously develops suitable products for self-driving cars. Perfectron’s GPGPU AI Fusion computers provide complete structure for image processing and driving with remarkable durability for various unpredictable conditions and perfect adaptation for multi-usage. It can process variant vision sensor data synchronously, and offer a high-performance solution for automated driving that supports all relevant sensor interfaces, buses, and networks.

Depending on environmental condition and application, AV requires different facility composition and system organization. In recent innovating and examining process, AV is commonly used in three main fields: Load lifter, Shuttle bus, and Battle MUTT. To learn more details about the operation, please check out the highlight solutions below.