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Name: LFE3-150EA-7LFN672C
Brand: Lattice Semiconductor Corporation
SKU: LFE3-150EA-7LFN672C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE3-150EA-7LFN672C

Part No.:: LFE3-150EA-7LFN672C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 672-BBGA

Datasheet:: LFE3-150EA-7LFN672C.pdf

Description:: IC FPGA 380 I/O 672FPBGA

In Stock:: 3172

Quantity:: Add To Cart

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LFE3-150EA-7LFN672C Specifications

Package/Case:
672-BBGA
Packaging:
Tray
Series:
ECP3
ProductStatus:
Active
NumberofLABs/CLBs:
18625
NumberofLogicElements/Cells:
149000
TotalRAMBits:
7014400
NumberofI/O:
380
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFE3-150EA-7LFN672C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE3-150EA-7LFN672C 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 LFE3-150EA-7LFN672C 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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LFE3-150EA-7LFN672C information

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LFE3-150EA-7LFN672C application case analysis in emerging technology fields

LFE3-150EA-7LFN672C is a high-performance FPGA (Field-Programmable Gate Array) chip designed by Lattice Semiconductor, offering advanced features and capabilities for a wide range of applications.

Application Scenario:

In autonomous vehicles, LFE3-150EA-7LFN672C can be utilized to implement real-time sensor fusion algorithms, enabling the vehicle to perceive its environment accurately and make intelligent decisions.

System Architecture:

To design an autonomous vehicle system using LFE3-150EA-7LFN672C, the following components and functionalities can be integrated:

1. Sensor Integration:

Connect various sensors, such as LiDAR, radar, cameras, and ultrasonic sensors, to the FPGA input ports. These sensors provide real-time data about the vehicle's surroundings, including obstacles, road conditions, and other vehicles.

2. Sensor Fusion:

Implement sensor fusion algorithms on LFE3-150EA-7LFN672C to integrate data from multiple sensors and generate a comprehensive and accurate representation of the environment. This fused sensor data is essential for making informed decisions in autonomous navigation.

3. Decision Making:

Utilize the computational power of LFE3-150EA-7LFN672C to run complex decision-making algorithms, such as path planning, obstacle avoidance, and object detection. These algorithms analyze the fused sensor data to determine the vehicle's actions, such as steering, acceleration, and braking.

4. Communication:

Implement communication interfaces, such as Ethernet or CAN bus, to facilitate communication between the FPGA-based control system and other vehicle subsystems, such as the drive-by-wire system, powertrain, and chassis control.

5. Safety and Redundancy:

Design redundant systems and safety mechanisms within LFE3-150EA-7LFN672C to ensure the reliability and safety of the autonomous vehicle operation. This includes fault detection, error correction, and fail-safe mechanisms to handle unexpected situations.

Considerations:

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

- Real-Time Processing: Implement efficient algorithms and parallel processing techniques to handle the massive amount of sensor data in real-time.

- Power Efficiency: Optimize the FPGA design and algorithms to minimize power consumption, extending the vehicle's range and reducing heat dissipation.

- Functional Safety: Ensure compliance with automotive safety standards, such as ISO 26262, and incorporate safety features to mitigate the risks associated with autonomous driving.

- Environmental Conditions: Validate the system's performance under various environmental conditions, such as adverse weather, lighting conditions, and road surfaces.

- Scalability and Upgradability: Design the system with scalability in mind to accommodate future sensor upgrades and algorithm enhancements, ensuring the longevity and adaptability of the autonomous vehicle platform.

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6. What is the process for return or replacement of LFE3-150EA-7LFN672C?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the LFE3-150EA-7LFN672C we delivered, we will accept the replacement or return of the LFE3-150EA-7LFN672C only when all of the below conditions are fulfilled:

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

(2)We are informed of the defect described above within 90 days after the delivery of LFE3-150EA-7LFN672C.

(3)The PartNo is unused and only in the original unpacked packaging.

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