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4
AI-car sensing node
4.1
Precautions for use
The EMC performance of the
•
for emission, full compliance with EN IEC 61000-6-3 and EN 55032 standards
•
for immunity, partial compliance with EN IEC 61000-6-1 and EN 55035 standards, as the kit is not immune to
the following types of disturbance:
–
continuous RF electromagnetic field disturbances at the frequency of 260 MHz (in vertical polarization
3 V/m) and 340 MHz (in horizontal polarization 3 V/m);
–
continuous induced RF disturbances at the frequency of 43MHz @ 3V.
If exposed to the above disturbances, the kit might change its operation mode without recovering the previous
working condition.
During immunity tests, the kit achieved level C. This means that the kit was not damaged during the test, but
required the intervention of an operator to reset it. If the kit is exposed to these frequencies and shows changes in
the working condition, turn the kit off and switch it on again.
4.2
Hardware overview
The
AEKD-AICAR1
1.
The AEK-MCU-C4MLIT1, designed to address automotive and transportation applications and other
applications requiring automotive safety and security levels. The board exploits the functionality of the
SPC58EC80E5 32-bit automotive grade ASIL-B microcontroller with 4 MB flash memory, full access to
the two MCU cores, GPIOs and peripherals such as ISO CAN FD (with a transceiver), and UART. The
AEKD-AICAR1
(acquired from the three-axis IMU system) in order to run a pretrained neural network. Moreover, the board
drives the
2.
The
AEK-CON-SENSOR1
IMU sensor. The
DIL 24 socket with SPC58 Chorus MCUs. The connector board includes a 1.8 V LDO voltage regulator to
supply the
values on a three-axis reference system.
3.
The AEK-LCD-DT028V1, which hosts a 2.8" LCD display with resistive touch to display the graphical user
interface (GUI) and interact with the SPC58 Chorus family microcontrollers. The TFT LCD display has
a resolution of 240x320 pixels and features the resistive touch managed by an on-board touch screen
controller. Both the display and the touch are controlled via SPI by the MCU. The
display is used to show results of the LSTM neural network computation.
4.
The power supply unit.
To power the AEKD-AICAR1, use the switch to choose one of the following options:
a.
the internal battery pack with six AAA batteries;
b.
an external 12 V DC power supply directly connected to the AEK-MCU-C4MLIT1.
4.3
Software architecture overview
The
AEKD-AICAR1
main application.
UM3053 - Rev 1
AEKD-AICAR1
AI-car sensing node consists of:
uses the
AEK-MCU-C4MLIT1
AEK-LCD-DT028V1
LCD display board to show neural network results.
with the
STEVAL-MKI206V1
AEK-CON-SENSOR1
AIS2DW12
inertial measurement sensor. The
software architecture consists of three layers: low-level software, high-level software, and the
is detailed below:
evaluation board to process discrete acceleration variations
evaluation board, which embeds the
connector board is designed to interface MEMS sensor boards in a
AIS2DW12
AI-car sensing node
AIS2DW12
sensor is used to acquire acceleration
AEK-LCD-DT028V1
UM3053
page 23/39
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