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Name: M2GL025-1FG484I
Brand: Microchip Technology
SKU: M2GL025-1FG484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

Any Feature, including a modified Existing Feature, that is not an Existing Feature.

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Microchip Technology M2GL025-1FG484I

Part No.:: M2GL025-1FG484I

Manufacturer:: Microchip Technology

Package:: 484-BGA

Datasheet:: M2GL025-1FG484I.pdf

Description:: IC FPGA 267 I/O 484FBGA

In Stock:: 2269

Quantity:: Add To Cart

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M2GL025-1FG484I Specifications

Package/Case:
484-BGA
Packaging:
Tray
Series:
IGLOO2
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
27696
TotalRAMBits:
1130496
NumberofI/O:
267
NumberofGates:
-
Voltage-Supply:
1.14V ~ 2.625V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

M2GL025-1FG484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including M2GL025-1FG484I 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 M2GL025-1FG484I 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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M2GL025-1FG484I information

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M2GL025-1FG484I application case analysis in emerging technology fields

M2GL025-1FG484I is a field-programmable gate array (FPGA) device manufactured by Microchip, offering high performance and flexibility for a wide range of applications.

Application Scenario:

In autonomous vehicle navigation systems, M2GL025-1FG484I can be utilized to process sensor data, perform real-time decision-making, and control vehicle operations with high precision and efficiency.

System Architecture:

To design an autonomous vehicle navigation system using M2GL025-1FG484I, consider the following components and functionalities:

1. Sensor Integration:

Integrate various sensors such as LiDAR, radar, cameras, and GPS receivers to capture environmental data and vehicle state information. Interface these sensors with M2GL025-1FG484I through 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, obstacle avoidance, path planning, and localization to ensure safe and optimal navigation.

3. Control Logic:

Develop control algorithms to regulate vehicle speed, steering, and braking based on the analyzed sensor data and navigation objectives. Use the reconfigurable nature of M2GL025-1FG484I to adaptively adjust control parameters and strategies according to changing road conditions and traffic scenarios.

4. Communication:

Establish communication interfaces such as CAN bus or Ethernet to facilitate data exchange with other vehicle subsystems, external devices, and infrastructure. Implement protocols for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication to enhance cooperative and connected driving capabilities.

5. Safety and Redundancy:

Implement safety mechanisms and redundancy features to ensure fail-safe operation and fault tolerance. Employ hardware redundancy, fault detection, and error correction techniques to mitigate risks associated with FPGA operation and critical system functions.

Considerations:

When designing the autonomous vehicle navigation system, consider the following factors to enhance efficiency, intelligence, and reliability:

- Performance Optimization: Optimize FPGA resource utilization, clock frequencies, and memory usage to achieve maximum processing efficiency and system throughput.

- Real-Time Constraints: Design and validate algorithms to meet stringent real-time requirements for sensor data processing, decision-making, and control execution.

- Power Efficiency: Implement power management techniques such as dynamic voltage and frequency scaling (DVFS) to minimize energy consumption and extend battery life in electric and hybrid vehicles.

- Functional Safety: Comply with automotive safety standards such as ISO 26262 and implement safety mechanisms such as functional redundancy, error detection, and self-diagnostics to ensure safe operation in diverse operating conditions and failure scenarios.

- Scalability and Upgradability: Design the system architecture to accommodate future upgrades, enhancements, and integration of advanced features such as artificial intelligence (AI) for autonomous driving and machine learning for predictive analytics.

M2GL025-1FG484I FAQ

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3. Are the M2GL025-1FG484I price and inventory displayed accurate?

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6. What is the process for return or replacement of M2GL025-1FG484I?

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 M2GL025-1FG484I we delivered, we will accept the replacement or return of the M2GL025-1FG484I 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 M2GL025-1FG484I.

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

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations