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Name: LFE5UM-85F-6BG756C
Brand: Lattice Semiconductor Corporation
SKU: LFE5UM-85F-6BG756C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE5UM-85F-6BG756C

Part No.:: LFE5UM-85F-6BG756C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 756-FBGA

Datasheet:: LFE5UM-85F-6BG756C.pdf

Description:: IC FPGA 365 I/O 756CABGA

In Stock:: 3403

Quantity:: Add To Cart

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LFE5UM-85F-6BG756C 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:
0°C ~ 85°C (TJ)

LFE5UM-85F-6BG756C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE5UM-85F-6BG756C 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-6BG756C 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-6BG756C information

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LFE5UM-85F-6BG756C application case analysis in emerging technology fields

LFE5UM-85F-6BG756C is a versatile FPGA (Field-Programmable Gate Array) chip renowned for its high performance and flexibility, ideal for a wide range of applications requiring rapid processing and customization.

Application Scenario:

In autonomous vehicles, LFE5UM-85F-6BG756C can be utilized to implement advanced perception systems, enabling real-time object detection, recognition, and decision-making capabilities.

System Design:

To design an autonomous vehicle perception system using LFE5UM-85F-6BG756C, consider the following key components:

1. Sensor Integration:

Integrate various sensors, such as LiDAR, RADAR, and cameras, to capture the vehicle's surrounding environment. Utilize interfaces compatible with LFE5UM-85F-6BG756C, such as MIPI CSI-2 or Ethernet, to connect these sensors.

2. Data Processing:

Utilize the FPGA resources of LFE5UM-85F-6BG756C to implement parallel processing algorithms for real-time data fusion, sensor data preprocessing, and feature extraction. Leverage the chip's high logic density and embedded memory blocks for efficient data manipulation.

3. Object Detection and Recognition:

Implement machine learning algorithms, such as Convolutional Neural Networks (CNNs) or Haar cascades, on LFE5UM-85F-6BG756C to detect and recognize objects in the environment. Utilize the chip's reconfigurability to adapt the algorithms based on changing requirements or environmental conditions.

4. Decision Making:

Integrate decision-making algorithms, such as Kalman filters or decision trees, to analyze the detected objects and make informed decisions, such as path planning or obstacle avoidance. Utilize the FPGA's computational capabilities for rapid decision-making in dynamic environments.

5. Communication and Control:

Implement communication interfaces, such as CAN or Ethernet, to exchange data with other vehicle subsystems or external systems. Utilize the FPGA's configurable I/Os and high-speed transceivers for reliable communication and control of actuators.

Considerations:

When designing the autonomous vehicle perception system, it's crucial to consider:

- Real-Time Performance: Optimize algorithms and hardware implementations for real-time processing to ensure timely responses to dynamic driving environments.

- Power Efficiency: Implement power-efficient designs to minimize energy consumption, considering the limited power budget of the vehicle's electrical system.

- Safety and Reliability: Design redundancy and fault-tolerance mechanisms to ensure the system's safety and reliability, critical for autonomous driving applications.

- Environmental Robustness: Ensure the system's robustness to environmental factors such as lighting conditions, weather variations, and sensor failures, to maintain reliable performance in diverse operating conditions.

- Compliance and Standards: Adhere to industry standards and regulations, such as ISO 26262 for functional safety, to ensure the system's compliance and reliability in automotive applications.

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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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