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Name: LFE5UM-85F-6BG756I
Brand: Lattice Semiconductor Corporation
SKU: LFE5UM-85F-6BG756I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE5UM-85F-6BG756I

Part No.:: LFE5UM-85F-6BG756I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 756-FBGA

Datasheet:: LFE5UM-85F-6BG756I.pdf

Description:: IC FPGA 365 I/O 756CABGA

In Stock:: 2443

Quantity:: Add To Cart

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LFE5UM-85F-6BG756I Specifications

Package/Case:
756-FBGA
Packaging:
Tray
Series:
ECP5
ProductStatus:
Active
NumberofLABs/CLBs:
21000
NumberofLogicElements/Cells:
84000
TotalRAMBits:
3833856
NumberofI/O:
365
NumberofGates:
-
Voltage-Supply:
1.045V ~ 1.155V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE5UM-85F-6BG756I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE5UM-85F-6BG756I 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 LFE5UM-85F-6BG756I 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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LFE5UM-85F-6BG756I information

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LFE5UM-85F-6BG756I application case analysis in emerging technology fields

LFE5UM-85F-6BG756I is a high-performance FPGA (Field-Programmable Gate Array) device known for its versatility and efficiency in a wide range of applications, particularly in the fields of telecommunications, automotive, and industrial automation.

Application Scenario:

In autonomous vehicle systems, LFE5UM-85F-6BG756I can be utilized to implement complex algorithms for real-time processing of sensor data, enabling intelligent decision-making and precise control.

System Architecture:

To design an autonomous vehicle control system using LFE5UM-85F-6BG756I, the following architecture can be adopted:

1. Sensor Integration:

Integrate various sensors such as LiDAR, radar, cameras, and ultrasonic sensors to capture the vehicle's surroundings. Interface these sensors with the FPGA using appropriate communication protocols such as SPI, I2C, or LVDS.

2. Data Processing:

Utilize the FPGA's parallel processing capabilities to efficiently process large volumes of sensor data in real-time. Implement algorithms for object detection, localization, path planning, and obstacle avoidance to ensure safe navigation.

3. Control Logic:

Develop control logic using FPGA resources to interpret processed sensor data and generate control signals for vehicle actuators such as steering, throttle, and brakes. Implement closed-loop control algorithms for dynamic vehicle control.

4. Communication:

Establish communication interfaces such as CAN (Controller Area Network) or Ethernet to facilitate communication between the FPGA-based control system and other vehicle subsystems such as the engine control unit (ECU) and the human-machine interface (HMI).

5. Redundancy and Safety:

Implement redundant safety mechanisms within the FPGA design to ensure fail-safe operation in critical scenarios. Utilize built-in self-test (BIST) features and watchdog timers to detect and mitigate faults in real-time.

Benefits:

The use of LFE5UM-85F-6BG756I in autonomous vehicle systems offers several advantages:

- High Performance: The FPGA's parallel processing architecture enables high-speed computation, essential for real-time decision-making in dynamic environments.

- Flexibility: The reprogrammable nature of FPGAs allows for easy adaptation to evolving requirements and integration of new functionalities without hardware changes.

- Power Efficiency: FPGAs offer superior power efficiency compared to traditional microcontrollers or ASICs, making them suitable for battery-powered applications.

- Scalability: FPGAs can be scaled to accommodate varying levels of complexity, from simple control tasks to advanced autonomous driving systems.

Considerations:

When deploying LFE5UM-85F-6BG756I in autonomous vehicle systems, it's important to consider:

- Safety-Critical Design: Implement rigorous design and verification processes to ensure the reliability and safety of the FPGA-based control system, adhering to industry standards such as ISO 26262.

- Real-Time Constraints: Optimize FPGA algorithms for real-time performance to meet stringent latency requirements for vehicle control applications.

- Environmental Robustness: Ensure the FPGA-based system can withstand harsh operating conditions such as temperature extremes, vibration, and electromagnetic interference.

- Compliance: Verify compliance with relevant automotive regulations and standards governing autonomous vehicle systems to ensure legal and regulatory approval for deployment.

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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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