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Name: LFE3-95EA-8FN672I
Brand: Lattice Semiconductor Corporation
SKU: LFE3-95EA-8FN672I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE3-95EA-8FN672I

Part No.:: LFE3-95EA-8FN672I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 672-BBGA

Datasheet:: LFE3-95EA-8FN672I.pdf

Description:: IC FPGA 380 I/O 672FPBGA

In Stock:: 3684

Quantity:: Add To Cart

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LFE3-95EA-8FN672I Specifications

Package/Case:
672-BBGA
Packaging:
Tray
Series:
ECP3
ProductStatus:
Active
NumberofLABs/CLBs:
11500
NumberofLogicElements/Cells:
92000
TotalRAMBits:
4526080
NumberofI/O:
380
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE3-95EA-8FN672I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE3-95EA-8FN672I 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 LFE3-95EA-8FN672I 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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LFE3-95EA-8FN672I information

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LFE3-95EA-8FN672I application case analysis in emerging technology fields

LFE3-95EA-8FN672I is a high-performance FPGA (Field-Programmable Gate Array) chip known for its versatility and efficiency, widely utilized in various applications ranging from telecommunications to automotive systems.

Application Scenario:

In automotive electronics, LFE3-95EA-8FN672I plays a crucial role in enabling advanced driver assistance systems (ADAS) for enhanced vehicle safety and intelligence.

System Design:

To implement ADAS functionalities using LFE3-95EA-8FN672I, the following steps can be followed:

1. Sensor Integration:

Connect various sensors such as cameras, LiDAR, radar, and ultrasonic sensors to the FPGA inputs, utilizing its high-speed interfaces for real-time data processing.

2. Data Fusion:

Utilize the FPGA's programmable logic to perform data fusion algorithms, combining information from different sensors to provide a comprehensive understanding of the vehicle's surroundings.

3. Object Detection and Recognition:

Implement algorithms within the FPGA to detect and recognize objects such as vehicles, pedestrians, and obstacles, enabling the ADAS system to make informed decisions.

4. Decision Making:

Based on the fused sensor data and object recognition results, program the FPGA to make real-time decisions such as collision avoidance, lane departure warnings, and adaptive cruise control.

5. Communication:

Integrate communication interfaces within the FPGA, such as CAN (Controller Area Network) or Ethernet, to facilitate interaction with other vehicle systems and external networks.

Benefits:

The use of LFE3-95EA-8FN672I in ADAS systems offers several advantages:

- Real-time Processing: The FPGA's parallel processing capabilities enable high-speed data processing, crucial for real-time decision-making in dynamic driving scenarios.

- Flexibility: Being a programmable device, the FPGA allows for easy updates and modifications to accommodate evolving ADAS requirements and algorithms.

- Integration: By consolidating multiple functions within a single FPGA chip, the overall system complexity and component count are reduced, leading to cost savings and improved reliability.

- Scalability: The FPGA's scalability allows for seamless integration of additional sensors or functionalities as the ADAS system evolves or expands.

- Customization: Designers can tailor the FPGA firmware to suit specific vehicle platforms or OEM requirements, optimizing performance and functionality.

Considerations:

When deploying LFE3-95EA-8FN672I in ADAS applications, considerations include:

- Power Efficiency: Optimize FPGA configurations and algorithms to minimize power consumption, ensuring compatibility with vehicle power constraints.

- Reliability: Perform thorough testing and validation to verify the system's reliability and safety under various environmental conditions and failure scenarios.

- Security: Implement robust security measures within the FPGA firmware to protect against potential cyber threats and unauthorized access to vehicle systems.

- Regulatory Compliance: Ensure that the ADAS system meets regulatory standards and certifications for automotive safety and performance.

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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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