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Name: LFE2M20SE-6FN484I
Brand: Lattice Semiconductor Corporation
SKU: LFE2M20SE-6FN484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2M20SE-6FN484I

Part No.:: LFE2M20SE-6FN484I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 484-BBGA

Datasheet:: LFE2M20SE-6FN484I.pdf

Description:: IC FPGA 304 I/O 484FBGA

In Stock:: 2902

Quantity:: Add To Cart

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LFE2M20SE-6FN484I Specifications

Package/Case:
484-BBGA
Packaging:
Tray
Series:
ECP2M
ProductStatus:
Active
NumberofLABs/CLBs:
2375
NumberofLogicElements/Cells:
19000
TotalRAMBits:
1246208
NumberofI/O:
304
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE2M20SE-6FN484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2M20SE-6FN484I price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for LFE2M20SE-6FN484I to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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LFE2M20SE-6FN484I information

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LFE2M20SE-6FN484I application case analysis in emerging technology fields

LFE2M20SE-6FN484I is a field-programmable gate array (FPGA) featuring high efficiency and intelligence, ideal for a wide range of applications requiring customizable hardware acceleration and processing capabilities.

Application Scenario:

In the domain of autonomous vehicles, LFE2M20SE-6FN484I can be utilized to enhance real-time perception and decision-making capabilities, leading to safer and more efficient navigation.

System Architecture:

To implement autonomous vehicle functionalities using LFE2M20SE-6FN484I, consider the following architecture:

1. Sensor Integration:

Integrate various sensors, such as LiDAR, cameras, and radar, to capture environmental data. Connect these sensors to the GPIO pins of LFE2M20SE-6FN484I for data acquisition and preprocessing.

2. Sensor Fusion:

Implement sensor fusion algorithms to combine data from different sensors and generate a comprehensive understanding of the vehicle's surroundings. Utilize the FPGA's parallel processing capabilities for efficient fusion.

3. Perception:

Utilize the processed sensor data to perceive obstacles, road signs, lane markings, and other relevant information. Implement deep learning models on LFE2M20SE-6FN484I for object detection and classification tasks.

4. Decision Making:

Based on the perceived environment, implement decision-making algorithms to plan safe and optimal trajectories. Utilize the FPGA's reconfigurability to adapt decision-making strategies in real-time based on dynamic scenarios.

5. Control:

Generate control signals for steering, acceleration, and braking based on the planned trajectories. Utilize the FPGA's high-speed I/O capabilities for low-latency control signals to actuate vehicle actuators.

Considerations:

When designing the autonomous vehicle system, consider the following factors:

- Real-Time Performance: Ensure that the FPGA's processing capabilities meet the stringent real-time requirements of autonomous driving applications.

- Power Efficiency: Optimize the FPGA's configuration to minimize power consumption while maintaining high performance, crucial for energy-efficient autonomous vehicles.

- Safety and Reliability: Implement redundancy and error-checking mechanisms to ensure the safety and reliability of the autonomous driving system, mitigating risks associated with hardware failures or software errors.

- Compliance: Ensure that the autonomous vehicle system complies with regulatory standards and safety guidelines, demonstrating its reliability and suitability for deployment on public roads.

- Scalability: Design the system architecture to accommodate future upgrades and expansions, allowing for the integration of advanced sensors and algorithms to enhance the vehicle's capabilities over time.

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(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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