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Name: LFE2-12E-6TN144C
Brand: Lattice Semiconductor Corporation
SKU: LFE2-12E-6TN144C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-12E-6TN144C

Part No.:: LFE2-12E-6TN144C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 144-LQFP

Datasheet:: LFE2-12E-6TN144C.pdf

Description:: IC FPGA 93 I/O 144TQFP

In Stock:: 2937

Quantity:: Add To Cart

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LFE2-12E-6TN144C Specifications

Package/Case:
144-LQFP
Packaging:
Tray
Series:
ECP2
ProductStatus:
Active
NumberofLABs/CLBs:
1500
NumberofLogicElements/Cells:
12000
TotalRAMBits:
226304
NumberofI/O:
93
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFE2-12E-6TN144C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-12E-6TN144C 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 LFE2-12E-6TN144C 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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LFE2-12E-6TN144C information

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LFE2-12E-6TN144C application case analysis in emerging technology fields

LFE2-12E-6TN144C is an FPGA (Field-Programmable Gate Array) chip known for its versatility and high performance, making it a crucial component in various advanced electronic applications.

Application Scenario:

In autonomous vehicles, LFE2-12E-6TN144C plays a pivotal role in processing sensor data, executing complex algorithms, and making real-time decisions to ensure safe and efficient operation.

System Architecture:

To develop an autonomous driving system leveraging LFE2-12E-6TN144C, the following components and functionalities are typically integrated:

1. Sensor Fusion:

Utilize various sensors, such as LiDAR, radar, and cameras, to capture environmental data. LFE2-12E-6TN144C integrates these data streams, performs sensor fusion algorithms, and generates a comprehensive understanding of the vehicle's surroundings.

2. Perception and Object Detection:

Implement advanced computer vision algorithms on LFE2-12E-6TN144C to detect and classify objects in the environment, including other vehicles, pedestrians, and obstacles.

3. Localization and Mapping:

Combine sensor data with localization techniques, such as GPS and inertial navigation, to accurately determine the vehicle's position and create high-definition maps for navigation.

4. Path Planning and Control:

Utilize algorithms running on LFE2-12E-6TN144C to generate optimal driving paths considering dynamic obstacles, traffic rules, and vehicle dynamics. The FPGA also controls vehicle actuators, such as steering, acceleration, and braking, to execute the planned trajectories.

5. Decision-Making and AI:

Integrate artificial intelligence modules on LFE2-12E-6TN144C for decision-making tasks, such as route selection, risk assessment, and adaptive behavior in complex traffic scenarios.

Advantages:

By leveraging LFE2-12E-6TN144C, autonomous driving systems achieve:

- High Performance: The FPGA's parallel processing capability enables real-time execution of complex algorithms, crucial for ensuring rapid decision-making in dynamic environments.

- Flexibility and Adaptability: Being programmable, LFE2-12E-6TN144C allows for easy updates and modifications to accommodate evolving requirements and advancements in autonomous vehicle technology.

- Integration of Heterogeneous Data: The FPGA seamlessly integrates data from various sensors and sources, providing a unified perception of the vehicle's surroundings, essential for safe navigation.

- Fault Tolerance: LFE2-12E-6TN144C's redundancy features and fault-tolerant designs enhance system reliability, crucial for ensuring the safety of passengers and other road users.

- Power Efficiency: Despite its high computational power, LFE2-12E-6TN144C optimizes power consumption, contributing to the overall energy efficiency of autonomous vehicles.

Considerations:

- Safety-Critical Design: Implement rigorous testing and validation procedures to ensure the reliability and safety of the autonomous driving system, considering potential failure modes and redundancies.

- Regulatory Compliance: Adhere to relevant industry standards and regulations governing autonomous vehicle development and deployment to ensure legal compliance and public acceptance.

- Cybersecurity: Implement robust cybersecurity measures to protect the system from cyber threats and ensure the integrity and confidentiality of data exchanged within the autonomous vehicle ecosystem.

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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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